Listed below are known citations to the NASA Socioeconomic Data and Applications Center (SEDAC) Global Rural-Urban Mapping Project (GRUMP) data collection. The data collection, and specific data set (if known), being cited are beneath each citation. Citations to multiple collections/sets are listed on separate lines. If a publication cites remotely sensed earth observation data, whether from NASA or another source, those instruments and/or platforms are listed as well.
List last updated on 3 October 2023.

Abou Zeid, F., Morelli, F., Ibáñez-Álamo, J. D., Díaz, M., Reif, J., Jokimäki, J., . . . Benedetti, Y. (2023). Spatial overlap and habitat selection of corvid species in European cities. Animals, 13(7), 1192. doi:10.3390/ani13071192
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
REMOTE SENSING (VIIRS)

Abrams, M., Tsu, H., Hulley, G., Iwao, K., Pieri, D., Cudahy, T., & Kargel, J. (2015). The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) after fifteen years: Review of global products. International Journal of Applied Earth Observation and Geoinformation, 38, 292-301. doi:10.1016/j.jag.2015.01.013
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (ASTER)
NASA REMOTE SENSING (MODIS)

Acemoglu, D., & Dell, M. (2010). Productivity differences between and within countries. American Economic Journal: Macroeconomics, 2(1), 169-188. doi:10.1257/mac.2.1.169
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Acevedo, S., Mrkaic, M., Novta, N., Poplawski-Ribeiro, M., Pugacheva, E., & Topalova, P. (2017). The effects of weather shocks on economic activity:  How can low-income countries cope? In World Economic Outlook, October 2017: Seeking Sustainable Growth - Short-Term Recovery, Long-Term Challenges (pp. 117-183): International Monetary Fund (IMF).
Gridded Population of the World (GPW) v3 (population count) - 10.​7927/​H4639MPP
Gridded Population of the World (GPW) v4 (population count) - 10.7927/H4X63JVC
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Agrawal, S., Gopalakrishnan, T., Gorokhovich, Y., & Doocy, S. (2013). Risk factors for injuries in landslide- and flood-affected populations in Uganda. Prehospital and Disaster Medicine, 28(4), 314-321. doi:10.1017/S1049023X13000356
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (TRMM)

Aina, Y. A., & Aleem, K. F. (2014). Assessing the vulnerability of an industrial city to predicted sea level rise using SRTM and GPW observations:  The case of Yanbu, Saudi Arabia. International Journal of Geoinformatics, 10(3), 73-81. Retrieved from http://journals.sfu.ca/ijg/index.php/journal/article/view/437
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)
NASA REMOTE SENSING (SRTM)

Ajisegiri, B., Andres, L. A., Bhatt, S., Dasgupta, B., Echenique, J. A., Gething, P. W., . . . Joseph, G. (2019). Geo-spatial modeling of access to water and sanitation in Nigeria. Journal of Water, Sanitation & Hygiene for Development, 9(2), 258-280. doi:10.2166/washdev.2019.089
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Akbari, H., Matthews, H. D., & Seto, D. (2012). The long-term effect of increasing the albedo of urban areas. Environmental Research Letters, 7(2), 024004. doi:10.1088/1748-9326/7/2/024004
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Akbari, H., Menon, S., & Rosenfeld, A. (2009). Global cooling: increasing world-wide urban albedos to offset CO2. Climatic Change, 94(3), 275-286. doi:10.1007/s10584-008-9515-9
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Akinyemi, F. O., & Ifejika Speranza, C. (2022). Agricultural landscape change impact on the quality of land: An African continent-wide assessment in gained and displaced agricultural lands. International Journal of Applied Earth Observation and Geoinformation, 106, 102644. doi:10.1016/j.jag.2021.102644
Gridded Population of the World (GPW) v4.11 (population density) - 10.7927/H49C6VHW
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points) - 10.7927/H4M906KR
NASA REMOTE SENSING (MODIS)

Alaniz, A. J., Bacigalupo, A., & Cattan, P. E. (2017). Spatial quantification of the world population potentially exposed to Zika virus. International Journal of Epidemiology, 46(3), 966-975. doi:10.1093/ije/dyw366
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Alegana, V. A., Atkinson, P. M., Wright, J. A., Kamwi, R., Uusiku, P., Katokele, S., . . . Noor, A. M. (2013). Estimation of malaria incidence in northern Namibia in 2009 using Bayesian Conditional-Autoregressive spatial-temporal models. Spatial and Spatio-temporal Epidemiology, 7, 25-36. doi:10.1016/j.sste.2013.09.001
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (TRMM)

Alexander, N. S., Massei, G., & Wint, G. R. W. (2016). The European distribution of Sus Scrofa. Model outputs from the project described within the poster – Where are all the boars? An attempt to gain a continental perspective. Journal of Open Health Data, 4(1), 6. doi:10.5334/ohd.24
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)

Alexander, N. S., & Wint, G. R. W. (2013). Projected population proximity indices (30km) for 2005, 2030 & 2050. Journal of Open Public Health Data, 1(1), e2. doi:10.5334/jophd.ab
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Alexander, P. J., Bechtel, B., Chow, W. T. L., Fealy, R., & Mills, G. (2016). Linking urban climate classification with an urban energy and water budget model: Multi-site and multi-seasonal evaluation. Urban Climate, 17, 196-215. doi:10.1016/j.uclim.2016.08.003
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (Google Maps)

Alfano, M. (2017). Islamic Law and Investments in Children: Evidence from the Sharia Introduction in Nigeria. Retrieved from http://www.cream-migration.org/publ_uploads/CDP_01_17.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Alix-Garcia, J., Bartlett, A., & Saah, D. (2013). The landscape of conflict: IDPs, aid and land-use change in Darfur. Journal of Economic Geography, 13(4), 589-617. doi:10.1093/jeg/lbs044
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS EVI)
REMOTE SENSING (Meteosat)

Aljaddani, A. H., Song, X.-P., & Zhu, Z. (2022). Characterizing the patterns and trends of urban growth in Saudi Arabia's 13 capital cities using a Landsat time series. Remote Sensing, 14(10), 2382. doi:10.3390/rs14102382
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (Landsat)

Alkema, L., Jones, G. W., & Lai, C. U. R. (2013). Levels of urbanization in the world’s countries: testing consistency of estimates based on national definitions. Journal of Population Research, 1-14. doi:10.1007/s12546-013-9109-x
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Allen, L., Lindberg, F., & Grimmond, C. S. B. (2011). Global to city scale urban anthropogenic heat flux: model and variability. International Journal of Climatology, 31(13), 1990-2005. doi:10.1002/joc.2210
Gridded Population of the World (GPW) v3 (population density)
Gridded Population of the World (GPW) v3 (national identifier grid)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) 

Allen, T., Wald, D., Earle, P., Marano, K., Hotovec, A., Lin, K., & Hearne, M. (2009). An Atlas of ShakeMaps and population exposure catalog for earthquake loss modeling. Bulletin of Earthquake Engineering, 7(3), 701-718. doi:10.1007/s10518-009-9120-y
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Alten, B., Versteirt, V., Van Bortel, W., Zeller, H., Wint, G. R. W., & Alexander, N. S. (2016). VBORNET gap analysis: Sand fly vector distribution models utilised to identify areas of potential species distribution in areas lacking records. Open Health Data, 4(1), e5. doi:10.5334/ohd.26
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (MODIS)

Alvarez, J., Krznar, I., & Tombe, T. (2019). Internal Trade in Canada: Case for Liberalization. Retrieved from https://www.imf.org/~/media/Files/Publications/WP/2019/WPIEA2019158.ashx
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Amdouni, J., Conte, A., Ippoliti, C., Candeloro, L., Tora, S., Sghaier, S., . . . Hammami, S. (2022). Culex pipiens distribution in Tunisia: Identification of suitable areas through Random Forest and MaxEnt approaches. Veterinary Medicine and Science, 8(6), 2703-2715. doi:10.1002/vms3.897
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Amoah, B., Giorgi, E., Heyes, D. J., van Burren, S., & Diggle, P. J. (2018). Geostatistical modelling of the association between malaria and child growth in Africa. International Journal of Health Geographics, 17(1), 7. doi:10.1186/s12942-018-0127-y
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Amundson, R., Berhe, A. A., Hopmans, J. W., Olson, C., Sztein, A. E., & Sparks, D. L. (2015). Soil and human security in the 21st century. Science, 348(6235), 1261071. doi:10.1126/science.1261071
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Anderson, W., You, L., Wood, S., Wood-Sichra, U., & Wu, W. (2014). A comparative analysis of global cropping systems models and maps. Retrieved from Washington: http://www.ifpri.org/publication/comparative-analysis-global-cropping-systems-models-and-maps
Gridded Population of the World (GPW) v2
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Anderson, W., You, L., Wood, S., Wood-Sichra, U., & Wu, W. (2015). An analysis of methodological and spatial differences in global cropping systems models and maps. Global Ecology and Biogeography, 24(2), 180-191. doi:10.1111/geb.12243
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Andrade, J. F., Rattalino Edreira, J. I., Farrow, A., van Loon, M. P., Craufurd, P. Q., Rurinda, J., . . . Grassini, P. (2019). A spatial framework for ex-ante impact assessment of agricultural technologies. Global Food Security, 20, 72-81. doi:10.1016/j.gfs.2018.12.006
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Andres, L. A., Bhatt, S., Dasgupta, B., Echenique, J. A., Gething, P. W., Zabludovsky, J. G., & Joseph, G. (2018). Geo-Spatial Modeling of Access to Water and Sanitation in Nigeria. Retrieved from Washington DC: http://documents.worldbank.org/curated/en/600851519849935055/Geo-spatial-modeling-of-access-to-water-and-sanitation-in-Nigeria
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Anenberg, S. C., Belova, A., Brandt, J., Fann, N., Greco, S., Guttikunda, S. K., . . . Van Dingenen, R. (2016). Survey of ambient air pollution health risk assessment tools. Risk Analysis, 36(9), 1718-1736. doi:10.1111/risa.12540
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Angel, S., Parent, J., Civco, D., Blei, A., & Potere, D. (2010). A Planet of Cities: Urban Land Cover Estimates and Projections for All Countries, 2000-2050. Retrieved from http://www.lincolninst.edu/pubs/1861_A-Planet-of-Cities
http://www.lincolninst.edu/sites/default/files/pubfiles/1861_1171_angel_iii_final.pdf
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)

Angel, S., Parent, J., Civco, D. L., Blei, A., & Potere, D. (2011). The dimensions of global urban expansion: Estimates and projections for all countries, 2000-2050. Progress in Planning, 75(2), 53-107. doi:10.1016/j.progress.2011.04.001
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Angelstam, P., Manton, M., Pedersen, S., & Elbakidze, M. (2017). Disrupted trophic interactions affect recruitment of boreal deciduous and coniferous trees in northern Europe. Ecological Applications, 27(4), 1108-1123. doi:10.1002/eap.1506
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Anonymous. (2005). CIESIN Releases New Global Rural Mapping Project. High Plains Journal. Retrieved from http://www.hpj.com/dtnnewstable.cfm?type=story&sid=13782 
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Anonymous. (2005). Data shows surprising increase in global urban areas. China View. Retrieved from http://news.xinhuanet.com/english/2005-03/09/content_2672395.htm 
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Anonymous. (2005). Earth Institute Announces Results of Global Mapping Project. Retrieved from http://www.innovations-report.de/html/berichte/geowissenschaften/bericht-41532.html 
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Anonymous. (2005). Global Mapping Project Reveals Increasing Urbanization. Retrieved from http://www.allamericanpatriots.com/m-news+article+storyid-7562-PHPSESSID-b8ede5e5a3c59842b9b8f1466ae01679.html 
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Anonymous. (2005). Urban Areas Cover 6 Percent of Land. Retrieved from http://www.upi.com/view.cfm?StoryID=20050310-082602-6943r
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Anonymous. (2005). Urban Expansion. Science, 307(5716), 1718. doi:10.1126/science.307.5716.1718d
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Anonymous. (2020). Chapter 23 - Urbanization: monitoring and impact assessment. In S. Liang & J. Wang (Eds.), Advanced Remote Sensing (Second Edition) (pp. 833-870): Academic Press.
Gridded Population of the World (GPW) v2
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (SPOT VGT)

Ao, X., Grimmond, C. S. B., Chang, Y., Liu, D., Tang, Y., Hu, P., . . . Tan, J. (2016). Heat, water and carbon exchanges in the tall megacity of Shanghai: challenges and results. International Journal of Climatology, 36(14), 4608-4624. doi:10.1002/joc.4657
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (FLUXNET)

Archila Bustos, M. F., Hall, O., Niedomysl, T., & Ernstson, U. (2020). A pixel level evaluation of five multitemporal global gridded population datasets: a case study in Sweden, 1990–2015. Population and Environment, 42, 255-277. doi:10.1007/s11111-020-00360-8
Gridded Population of the World (GPW) v4.11 (population count UN WPP-adjusted) - 10.7927/H4PN93PB
Gridded Population of the World (GPW) v4.11 (population count) - 10.7927/H4JW8BX5
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H
POPGRID

Ardelean, M., & Minnebo, P. (2023). The suitability of seas and shores for building submarine power interconnections. Renewable and Sustainable Energy Reviews, 176, 113210. doi:10.1016/j.rser.2023.113210
Gridded Population of the World (GPW) v4.11 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points)

Arnell, N. W., Brown, S., Gosling, S. N., Gottschalk, P., Hinkel, J., Huntingford, C., . . . Zelazowski, P. (2016). The impacts of climate change across the globe: A multi-sectoral assessment. Climatic Change, 134(3), 457-474. doi:10.1007/s10584-014-1281-2
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Arnell, N. W., Brown, S., Gosling, S. N., Hinkel, J., Huntingford, C., Lloyd-Hughes, B., . . . Zelazowski, P. (2016). Global-scale climate impact functions: the relationship between climate forcing and impact. Climatic Change, 134(3), 475-487. doi:10.1007/s10584-013-1034-7
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Arnell, N. W., & Gosling, S. N. (2016). The impacts of climate change on river flood risk at the global scale. Climatic Change, 134(3), 387-401. doi:10.1007/s10584-014-1084-5
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Arnell, N. W., & Lloyd-Hughes, B. (2012). Global-scale Impacts of Climate Change at Different Levels of Forcing. Retrieved from http://www.metoffice.gov.uk/media/pdf/9/9/AVOID_WS2_D1_35.pdf
http://www.metoffice.gov.uk/avoid/resources-researchers
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Arnell, N. W., & Lloyd-Hughes, B. (2014). The global-scale impacts of climate change on water resources and flooding under new climate and socio-economic scenarios. Climatic Change, 122(1-2), 127-140. doi:10.1007/s10584-013-0948-4
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Arnell, N. W., Lowe, J. A., Brown, S., Gosling, S. N., Gottschalk, P., Hinkel, J., . . . Warren, R. F. (2013). A global assessment of the effects of climate policy on the impacts of climate change. Nature Climate Change, 3, 512-519. doi:10.1038/nclimate1793
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Ash, K. (2018). “The War Will Come to Your Street”: Explaining geographic variation in terrorism by rebel groups. International Interactions, 44(3), 411-436. doi:10.1080/03050629.2017.1367294
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (DMSP-OLS)

Ashok, A., Balakrishnan, H., & Barrett, S. R. H. (2017). Reducing the air quality and CO2 climate impacts of taxi and takeoff operations at airports. Transportation Research Part D: Transport and Environment, 54, 287-303. doi:10.1016/j.trd.2017.05.013
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) (Balk et al 2006) 

Ashton, R. A., Kefyalew, T., Rand, A., Sime, H., Assefa, A., Mekasha, A., . . . Brooker, S. J. (2015). Geostatistical modeling of malaria endemicity using serological indicators of exposure collected through school surveys. The American Journal of Tropical Medicine and Hygiene, 93(1), 168-177. doi:10.4269/ajtmh.14-0620
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (MERIS GlobCover)
REMOTE SENSING (SPOT 5)

Ashton, R. A., Kefyalew, T., Tesfaye, G., Pullan, R. L., Yadeta, D., Reithinger, R., . . . Brooker, S. J. (2011). School-based surveys of malaria in Oromia Regional State, Ethiopia: a rapid survey method for malaria in low transmission settings. Malaria Journal, 10(1), 25. doi:10.1186/1475-2875-10-25
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (MERIS)

Assiri, M. E. (2017). Assessing MODIS Land Surface Temperature (LST) Over Jeddah. Polish Journal of Environmental Studies, 26(4), 1461-1470. doi:10.15244/pjoes/68960
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (MODIS)

Assoum, M., Ortu, G., Basáñez, M.-G., Lau, C., Clements, A. C. A., Halton, K., . . . Magalhães, R. J. S. (2022). Impact of a 5-year mass drug administration programme for soil-transmitted helminthiases on the spatial distribution of childhood anaemia in Burundi from 2007 to 2011. Tropical Medicine and Infectious Disease, 7(10), 307. doi:10.3390/tropicalmed7100307
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (ASTER GDEM)
REMOTE SENSING (Landsat)

Assoum, M., Ortu, G., Basáñez, M.-G., Lau, C., Clements, A. C. A., Halton, K., . . . Soares Magalhães, R. J. (2017). Spatiotemporal distribution and population at risk of soil-transmitted helminth infections following an eight-year school-based deworming programme in Burundi, 2007–2014. Parasites & Vectors, 10(1), 12. doi:10.1186/s13071-017-2505-x
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (ASTER GDEM)
REMOTE SENSING (Landsat)

Aubrecht, C., Gunasekera, R., Ungar, J., & Ishizawa, O. (2016). Consistent yet adaptive global geospatial identification of urban–rural patterns: The iURBAN model. Remote Sensing of Environment, 187, 230-240. doi:10.1016/j.rse.2016.10.031
Gridded Population of the World (GPW) v3 (population count)
Gridded Population of the World (GPW) v4 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Aubrecht, C., Özceylan, D., Steinnocher, K., & Freire, S. (2013). Multi-level geospatial modeling of human exposure patterns and vulnerability indicators. Natural Hazards, 68(1), 147-163. doi:10.1007/s11069-012-0389-9
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Aubrecht, C., Steinnocher, K., Köstl, M., Züger, J., & Loibl, W. (2013). Long-term spatio-temporal social vulnerability variation considering health-related climate change parameters particularly affecting elderly. Natural Hazards, 68(3), 1371-1384. doi:10.1007/s11069-012-0324-0
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Augusto Hernandes Rocha, T., Grapiuna de Almeida, D., Shankar Kozhumam, A., Cristina da Silva, N., Bárbara Abreu Fonseca Thomaz, E., Christine de Sousa Queiroz, R., . . . Ricardo Nickenig Vissoci, J. (2021). Microplanning for designing vaccination campaigns in low-resource settings: A geospatial artificial intelligence-based framework. Vaccine, 39(42), 6276-6282. doi:10.1016/j.vaccine.2021.09.018
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
POPGRID

Avellan, T., Meier, J., & Mauser, W. (2012). Are urban areas endangering the availability of rainfed crop suitable land? Remote Sensing Letters, 3(7), 631-638. doi:10.1080/01431161.2012.659353
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Ayana, E. K., Ceccato, P., Fisher, J. R. B., & DeFries, R. (2016). Examining the relationship between environmental factors and conflict in pastoralist areas of East Africa. Science of The Total Environment, 557–558, 601-611. doi:10.1016/j.scitotenv.2016.03.102
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS NDVI)
REMOTE SENSING (AVHRR NDVI)

Azar, D., Engstrom, R., Graesser, J., & Comenetz, J. (2013). Generation of fine-scale population layers using multi-resolution satellite imagery and geospatial data. Remote Sensing of Environment, 130, 219-232. doi:10.1016/j.rse.2012.11.022
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Landsat)
REMOTE SENSING (Quickbird)
REMOTE SENSING (IKONOS)

Bachner, G., Lincke, D., & Hinkel, J. (2022). The macroeconomic effects of adapting to high-end sea-level rise via protection and migration. Nature Communications, 13(1), 5705. doi:10.1038/s41467-022-33043-z
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Baez, J., Caruso, G., Mueller, V., & Niu, C. (2017). Droughts augment youth migration in Northern Latin America and the Caribbean. Climatic Change, 140(3), 423-435. doi:10.1007/s10584-016-1863-2
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Bai, X., Balk, D., Braga, T., Douglas, I., Elmqvist, T., Rees, W., . . . Zlotnick, H. (2014). Ecosystems and Human Well-Being: Volume 1: Current State and Trends: Urban Systems. In The Encyclopedia of Earth.
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Bai, Z., & Dent, D. (2009). Recent land degradation and improvement in China. Ambio, 38(3), 150-156. doi:10.1579/0044-7447-38.3.150
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Gridded Population of the World (GPW) v3 (population count)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)
NASA REMOTE SENSING (MODIS - MOD17A3)

Bai, Z., Dent, D., Wu, Y., & Jong, R. (2013). Land Degradation and Ecosystem Services. In R. Lal, K. Lorenz, R. F. Hüttl, B. U. Schneider, & J. von Braun (Eds.), Ecosystem Services and Carbon Sequestration in the Biosphere (pp. 357-381): Springer Netherlands.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (NDVI)

Bai, Z., Wang, J., Wang, M., Gao, M., & Sun, J. (2018). Accuracy assessment of multi-source gridded population distribution datasets in China. Sustainability, 10(5), 1363. doi:10.3390/su10051363
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Bai, Z. G., & Dent, D. L. (2006). Global assessment of land degradation and improvement: pilot study in Kenya. Retrieved from Wageningen, NL: http://www.isric.org/isric/webdocs/Docs/ISRIC_Report_2006_01.pdf
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Bailard, C. S. (2015). Ethnic conflict goes mobile: Mobile technology’s effect on the opportunities and motivations for violent collective action. Journal of Peace Research, 52(3), 323-337. doi:10.1177/0022343314556334
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Bailey, K. M., McCleery, R. A., Binford, M. W., & Zweig, C. (2016). Land-cover change within and around protected areas in a biodiversity hotspot. Journal of Land Use Science, 11(2), 154-176. doi:10.1080/1747423X.2015.1086905
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Bakker, B. B. (2023). Unveiling the Hidden Impact of Urban Land Rents on TFP. Retrieved from https://www.imf.org/en/Publications/WP/Issues/2023/08/25/Unveiling-the-Hidden-Impact-of-Urban-Land-Rents-on-Total-Factor-Productivity-538514
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Balcan, D., Colizza, V., Gonçalves, B., Hu, H., Ramasco, J. J., & Vespignani, A. (2009). Multiscale mobility networks and the spatial spreading of infectious diseases. Proceedings of the National Academy of Sciences, 106(51), 21484-21489. doi:10.1073/pnas.0906910106
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Balenghien, T., Alexander, N. S., Arnþórsdóttir, A. L., Bisia, M., Blackwell, A., Bødker, R., . . . Wint, G. R. W. (2020). VectorNet Data Series 3: Culicoides abundance distribution models for Europe and surrounding regions. Journal of Open Health Data, 7(1), 2. doi:10.5334/ohd.33
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (MODIS)

Balk, D. (2009). More than a name: Why Is global urban population mapping a GRUMPy proposition? . In P. Gamba & M. Herold (Eds.), Global Mapping of Human Settlement:  Experiences, Datasets and Prospects (pp. 145-161). Boca Raton: CRC Press.
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

Balk, D., Leyk, S., Jones, B., Montgomery, M. R., & Clark, A. (2018). Understanding urbanization: A study of census and satellite-derived urban classes in the United States, 1990-2010. PLoS ONE, 13(12), e0208487. doi:10.1371/journal.pone.0208487
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Balk, D., McGranahan, G., & Anderson, B. (2008). Urbanization and ecosystems: recent patterns and future implications. In G. Martine, G. McGranahan, M. Montgomery, & R. Fernandez-Castilla (Eds.), The New Global Frontier:  Urbanization, Poverty and Environment in the 21st Century (pp. 183-201). London: Earthscan.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

Balk, D., Montgomery, M. R., McGranahan, G., Kim, D., Mara, V., Todd, M., . . . Dorelien, A. (2009). Mapping urban settlements and the risks of climate change in Africa, Asia and South America. In J. M. Guzman, G. Martine, G. McGranahan, D. Schensul, & C. Tacoli (Eds.), Population Dynamics and Climate Change (pp. 80-102). New York: IIED/UNFPA.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

Balk, D., Montgomery, M. R., McGranahan, G., & Todd, M. (2009). Understanding the impacts of climate change:  Linking satellite and other spatial data with population data. In J. M. Guzman, G. Martine, G. McGranahan, D. Schensul, & C. Tacoli (Eds.), Population Dynamics and Climate Change (pp. 206-214). New York: IIED/UNFPA.
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

Balk, D., Storeygard, A., Levy, M., Gaskell, J., Sharma, M., & Flor, R. (2005). Child hunger in the developing world: An analysis of environmental and social correlates. Food Policy, 30(5-6), 584-611. doi:10.1016/j.foodpol.2005.10.007
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Balmford, A., Chen, H., Phalan, B., Wang, M., O’Connell, C., Tayleur, C., & Xu, J. (2016). Getting road expansion on the right track: A framework for smart infrastructure planning in the Mekong. PLoS Biology, 14(12), e2000266. doi:10.1371/journal.pbio.2000266
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (Landsat)

Banerjee, C., Sharma, A., & Kumar, D. N. (2021). Decline in terrestrial water recharge with increasing global temperatures. Science of The Total Environment, 764, 142913. doi:10.1016/j.scitotenv.2020.142913
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Banerjee, O., Cicowiez, M., Malek, Ž., Verburg, P., Vargas, R., & Goodwin, S. (2020). The Value of Biodiversity in Economic Decision Making: Applying the IEEM ESM Approach to Conservation Strategies in Colombia. Retrieved from https://doi.org/10.18235/0002945
Gridded Population of the World (GPW) v4.10 (population density) - 10.7927/H4DZ068D
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Banerjee, S. G., & Morella, E. (2011). Africa's Water and Sanitation Infrastructure: Access, Affordability, and Alternatives: World Bank Publications.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Barbier, E. B. (2015). Climate change impacts on rural poverty in low-elevation coastal zones. Estuarine, Coastal and Shelf Science, 165, A1-A13. doi:10.1016/j.ecss.2015.05.035
Global Rural-Urban Mapping Project (GRUMP) v1 (coastlines) - 10.7927/H4CR5R8J
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population and Land Area Estimates, v2)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1) - 10.7927/H4K64G12
Poverty Mapping (Global Subnational Infant Mortality Rates, v1) - 10.7927/H4PZ56R2

Barbier, E. B., & Bugas, J. S. (2014). Structural change, marginal land and economic development in Latin America and the Caribbean. Latin American Economic Review, 23(1), 1-29. doi:10.1007/s40503-014-0003-5
Gridded Population of the World (GPW) v3 (national boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Barbier, E. B., & Hochard, J. P. (2014). Land Degradation, Less Favored Lands and the Rural Poor:  A Spatial and Economic Analysis. Retrieved from Bonn: http://eld-initiative.org/fileadmin/pdf/ELD__Assessment.pdf
Gridded Population of the World (GPW) v3 (national boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Barbier, E. B., & Hochard, J. P. (2014). Poverty and the Spatial Distribution of Rural Population. Retrieved from Washington DC: http://hdl.handle.net/10986/20616
Gridded Population of the World (GPW) v3 (national boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Barbier, E. B., & Hochard, J. P. (2016). Does land degradation increase poverty in developing countries? PLoS ONE, 11(5), e0152973. doi:10.1371/journal.pone.0152973
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Barbier, E. B., & Hochard, J. P. (2018). The impacts of climate change on the poor in disadvantaged regions. Review of Environmental Economics and Policy, 12(1), 26-47. doi:10.1093/reep/rex023
Gridded Population of the World (GPW) v3 (population count) - 10.​7927/​H4639MPP
Gridded Population of the World (GPW) v3 (population count future estimates) - 10.7927/H42B8VZZ
Gridded Population of the World (GPW) v3 (admin boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (coastlines) - 10.7927/H4CR5R8J
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
Low Elevation Coastal Zone (LECZ) (Sea Level Rise Impacts on Ramsar Wetlands of International Importance, v1) - 10.7927/H4CC0XMD
Poverty Mapping (Global Subnational Infant Mortality Rates, v1) - 10.7927/H4PZ56R2

Barbier, E. B., & Hochard, J. P. (2018). Land degradation and poverty. Nature Sustainability, 1(11), 623-631. doi:10.1038/s41893-018-0155-4
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Gridded Population of the World (GPW) v4 (collection)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Barbier, E. B., & Hochard, J. P. (2018). Poverty, rural population distribution and climate change. Environment and Development Economics, 23(3), 234-256. doi:10.1017/S1355770X17000353
Gridded Population of the World (GPW) v3 (national boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Barbier, E. B., & Hochard, J. P. (2019). Poverty-Environment Traps. Environmental and Resource Economics, 74(3), 1239-1271. doi:10.1007/s10640-019-00366-3
Gridded Population of the World (GPW) v3 (admin boundaries)
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1) - 10.7927/H4PZ56R2

Barbier, E. B., López, R. E., & Hochard, J. P. (2016). Debt, poverty and resource management in a rural smallholder economy. Environmental and Resource Economics, 63(2), 411-427. doi:10.1007/s10640-015-9890-4
Gridded Population of the World (GPW) v3 (national boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Barker, S., Robarts, R., Yamashiki, Y., Takeuchi, K., Yoshimura, C., & Muguetti, A. C. (2007). UNEP-GEMS/Water Programme - Water quality data, GEMStat and open web services - And Japanese cooperation. Hydrological Processes, 21(9), 1132-1141. doi:10.1002/hyp.6673
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Barkley, M., González Abad, G., Kurosu, T. P., Spurr, R., Torbatian, S., & Lerot, C. (2017). OMI air-quality monitoring over the Middle East. Atmospheric Chemistry and Physics, 17, 4687-4709. doi:10.5194/acp-17-4687-2017
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points) - 10.7927/H4M906KR
NASA REMOTE SENSING (OMI)

Barragán, J. M., & de Andrés, M. (2015). Analysis and trends of the world's coastal cities and agglomerations. Ocean & Coastal Management, 114, 11-20. doi:10.1016/j.ocecoaman.2015.06.004
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Barrett, S. R. H., Speth, R. L., Eastham, S. D., Dedoussi, I. C., Ashok, A., Malina, R., & Keith, D. W. (2015). Impact of the Volkswagen emissions control defeat device on US public health. Environmental Research Letters, 10(11), 114005. doi:10.1088/1748-9326/10/11/114005
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Barro, A. S., Kracalik, I. T., Malania, L., Tsertsvadze, N., Manvelyan, J., Imnadze, P., & Blackburn, J. K. (2015). Identifying hotspots of human anthrax transmission using three local clustering techniques. Applied Geography, 60, 29-36. doi:10.1016/j.apgeog.2015.02.014
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Battle, K. E., Gething, P. W., Elyazar, I. R. F., Moyes, C. L., Sinka, M. E., Howes, R. E., . . . Hay, S. I. (2012). The global public health significance of Plasmodium vivax. In S. I. Hay, R. Price, & J. K. Baird (Eds.), Advances in Parasitology (Vol. 80, pp. 1-111): Academic Press.
Global Rural-Urban Mapping Project (GRUMP) beta (population count)

Bayat, B., Camacho, F., Nickeson, J., Cosh, M., Bolten, J., Vereecken, H., & Montzka, C. (2021). Toward operational validation systems for global satellite-based terrestrial essential climate variables. International Journal of Applied Earth Observation and Geoinformation, 95, 102240. doi:10.1016/j.jag.2020.102240
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Beardsley, K., & Gleditsch, K. S. (2015). Peacekeeping as conflict containment. International Studies Review, 17(1), 67-89. doi:10.1111/misr.12205
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Beardsley, K., Gleditsch, K. S., & Lo, N. (2015). Roving bandits? The geographical evolution of African armed conflicts. International Studies Quarterly, 59(3), 503-516. doi:10.1111/isqu.12196
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Becker, C. G., Dalziel, B. D., Kersch-Becker, M. F., Park, M. G., & Mouchka, M. (2013). Indirect effects of human development along the coast on coral health. Biotropica, 45(3), 401-407. doi:10.1111/btp.12019
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (Quickbird)

Bell, M. (2015). Demography, time and space. Journal of Population Research, 32(3), 173-186. doi:10.1007/s12546-015-9148-6
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Benítez-López, A., Alkemade, R., Schipper, A. M., Ingram, D. J., Verweij, P. A., Eikelboom, J. A. J., & Huijbregts, M. A. J. (2017). The impact of hunting on tropical mammal and bird populations. Science, 356(6334), 180-183. doi:10.1126/science.aaj1891
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Benítez-López, A., Santini, L., Schipper, A. M., Busana, M., & Huijbregts, M. A. J. (2019). Intact but empty forests? Patterns of hunting-induced mammal defaunation in the tropics. PLoS Biology, 17(5), e3000247. doi:10.1371/journal.pbio.3000247
Gridded Population of the World (GPW) v4 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Bennett, M. M., & Smith, L. C. (2017). Advances in using multitemporal night-time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics. Remote Sensing of Environment, 192, 176-197. doi:10.1016/j.rse.2017.01.005
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS NTL)

Beresford, A. E., Eshiamwata, G. W., Donald, P. F., Balmford, A., Bertzky, B., Brink, A. B., . . . Buchanan, G. M. (2013). Protection reduces loss of natural land-cover at sites of conservation importance across Africa. PLoS ONE, 8(5), e65370. doi:10.1371/journal.pone.0065370
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (Landsat)
NASA REMOTE SENSING (ASTER)

Berger, C., Voltersen, M., Hese, S., Walde, I., & Schmullius, C. (2013). Robust extraction of urban land cover information from HSR multi-spectral and LiDAR data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(6), 1-16. doi:10.1109/jstars.2013.2252329
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Berlemann, M., & Wenzel, D. (2018). Hurricanes, economic growth and transmission channels: Empirical evidence for countries on differing levels of development. World Development, 105, 231-247. doi:10.1016/j.worlddev.2017.12.020
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF

Bhaduri, B., Bright, E., Coleman, P., & Urban, M. (2007). LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics. GeoJournal, 69(1), 103-117. doi:10.1007/s10708-007-9105-9
GPW (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Bharti, N., Djibo, A., Ferrari, M. J., Grais, R. F., Tatem, A. J., McCabe, C. A., . . . Grenfell, B. T. (2010). Measles hotspots and epidemiological connectivity. Epidemiology & Infection, 138(9), 1308-1326. doi:10.1017/S0950268809991385
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Bharti, N., Djibo, A., Tatem, A. J., Grenfell, B. T., & Ferrari, M. J. (2016). Measuring populations to improve vaccination coverage. Scientific Reports, 5(34541), 10 pp. doi:10.1038/srep34541
Gridded Population of the World (GPW) v2
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (Landsat)

Bharti, N., & Tatem, A. J. (2018). Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria. Scientific Data, 5, 180256. doi:10.1038/sdata.2018.256
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS NTL)

Bhatt, C. M., & Karnatak, H. C. (2019). Geoweb services and open online data repositories for North West Himalayas studies including disaster monitoring and mitigation. In R. R. Navalgund, A. S. Kumar, & S. Nandy (Eds.), Remote Sensing of Northwest Himalayan Ecosystems (pp. 501-536). Singapore: Springer Singapore.
Global Agricultural Lands (collection)
Anthropogenic Biomes of the World (collection)
Gridded Population of the World (GPW) v4 (collection)
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Human Appropriation of Net Primary Productivity (HANPP) (collection)
Natural Disaster Hotspots (collection)
Last of the Wild v2 (collection)
NASA EOSDIS (Earthdata website)
NASA REMOTE SENSING (ASTER GDEM)
NASA REMOTE SENSING (FIRMS)
NASA REMOTE SENSING (ISCCP)
NASA REMOTE SENSING (MODIS Land cover)

Bhatt, S., Gething, P. W., Brady, O. J., Messina, J. P., Farlow, A. W., Moyes, C. L., . . . Hay, S. I. (2013). The global distribution and burden of dengue. Nature, 496, 504-507. doi:10.1038/nature12060
Gridded Population of the World (GPW) v3 (unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Bhattacharya, A., Ivanyna, M., Oman, W., & Stern, N. (2021). Climate Action to Unlock the Inclusive Growth Story of the 21st Century. Retrieved from https://www.imf.org/en/Publications/WP/Issues/2021/05/26/Climate-Action-to-Unlock-the-Inclusive-Growth-Story-of-the-21st-Century-50219
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Binswanger-Mkhize, H. P., & Savastano, S. (2014). Agricultural Intensification:  The Status in Six African Countries. Retrieved from Washington DC: http://hdl.handle.net/10986/20649
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (DMSP-OLS)

Binswanger-Mkhize, H. P., & Savastano, S. (2017). Agricultural intensification: The status in six African countries. Food Policy, 67, 26-40. doi:10.1016/j.foodpol.2016.09.021
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)
REMOTE SENSING (DMSP-OLS)

Birkmann, J., & Welle, T. (2015). Assessing the risk of loss and damage: exposure, vulnerability and risk to climate-related hazards for different country classifications International Journal of Global Warming, 8(2), 191-212. doi:10.1504/IJGW.2015.071963
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Bissiri, M., Moura, P., Figueiredo, N. C., & Pereira da Silva, P. (2020). A geospatial approach towards defining cost-optimal electrification pathways in West Africa. Energy, 200, 117471. doi:10.1016/j.energy.2020.117471
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)
Global High Resolution Urban Data from Landsat (HBASE)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (DMSP-OLS)

Bistinas, I., Harrison, S. P., Prentice, I. C., & Pereira, J. M. C. (2014). Causal relationships versus emergent patterns in the global controls of fire frequency. Biogeosciences, 11(18), 5087-5101. doi:10.5194/bg-11-5087-2014
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (LIS)

Bistinas, I., Harrison, S. P., Prentice, I. C., & Pereira, J. M. C. (2014). Causal relationships vs. emergent patterns in the global controls of fire frequency. Biogeosciences, 11, 5087-5101. doi:10.5194/bgd-11-3865-2014
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS Vegetation Continuous Fields)

Bitzer, J., & Gören, E. (2018). Foreign aid and subnational development: A grid cell analysis. Retrieved from Oldenburg: http://hdl.handle.net/10419/175419
Gridded Population of the World (GPW) v3 (population count) - 10.​7927/​H4639MPP
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Blackburn, S., & Marques, C. (2013). Mega-urbanisation on the coast:  Global context and key trends in the twenty-first century. In M. Pelling & S. Blackburn (Eds.), Megacities and the Coast:  Risk, Resilience and Transformation (pp. 1-21). Oxford: Routledge.
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

Bloch, R., Monroy, J., Fox, S., & Ojo, A. (2015). Urbanisation and Urban Expansion in Nigeria. Retrieved from London: http://urn.icfwebservices.com/publications/urbanisation-and-urban-expansion-in-nigeria
Gridded Population of the World (GPW) v3 (population density future estimates) - 10.7927/H4ST7MRB
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Blomberg, S. B., & Sheppard, S. (2007). The impacts of terrorism on urban form. In Brookings-Wharton Papers on Urban Affairs (pp. 257-290): Brookings Institution Press.
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (Landsat ETM)

Bloom, D. E., Canning, D., & Fink, G. (2008). Urbanization and the wealth of nations. Science, 319(5864), 772-775. doi:10.1126/science.1153057
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Bloom, D. E., Canning, D., Fink, G., Khanna, T., & Salyer, P. (2010). WP/12 Urban Settlement: Data, Measures, and Trends. Retrieved from http://www.wider.unu.edu/publications/working-papers/2010/en_GB/wp2010-12/
Gridded Population of the World (GPW) v3
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Bluhm, R., & Krause, M. (2018). Top Lights: Bright Cities and Their Contribution to Economic Development. Retrieved from Williamsburg VA: https://www.aiddata.org/publications/top-lights-bright-cities-and-their-contribution-to-economic-development
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
REMOTE SENSING (DMSP-OLS)

Bluhm, R., & Krause, M. (2022). Top lights: Bright cities and their contribution to economic development. Journal of Development Economics, 157, 102880. doi:10.1016/j.jdeveco.2022.102880
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
REMOTE SENSING (DMSP-OLS)

Bocquier, P. (2005). World urbanization prospects: An alternative to the UN model of projection compatible with the mobility transition theory. Demographic Research, 12, 197-236. doi:10.4054/DemRes.2005.12.9
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Boke-Olén, N., Abdi, A. M., Hall, O., & Lehsten, V. (2017). High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100. Scientific Data, 4(160130). doi:10.1038/sdata.2016.130
Gridded Population of the World (GPW) v1
Gridded Population of the World (GPW) v4 (Doxsey-Whitfield et al. paper)
Global Roads (Global Roads Open Access Data Set (gROADS), v1) 
Global Rural-Urban Mapping Project (GRUMP) v1 (National Administrative Boundaries)

Boone, R., BurnSilver, S., & Kruska, R. (2008). Comparing landscape and infrastructural heterogeneity within and between ecosystems. In K. Galvin, R. S. Reid, R. H. Behnke Jr., & N. T. Hobbs (Eds.), Fragmentation in Semi-Arid and Arid Landscapes:  Consequences for Human and Natural Systems (pp. 341-367): Springer Netherlands.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Borge-Holthoefer, J., Perra, N., Gonçalves, B., González-Bailón, S., Arenas, A., Moreno, Y., & Vespignani, A. (2016). The dynamics of information-driven coordination phenomena: A transfer entropy analysis. Science Advances, 2(4), 8 pp. doi:10.1126/sciadv.1501158
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Bosco, C., Watson, S., Game, A., Brooks, C., de Rigo, D., Qader, S., . . . Bengtsson, L. (2019). Towards High-resolution Sex-disaggregated Dynamic Mapping. Retrieved from Stockholm: https://data2x.org/resource-center/towards-high-resolution-sex-disaggregated-dynamic-mapping/
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS - MOD13Q1)
NASA REMOTE SENSING (MODIS - MOD17A2H)
NASA REMOTE SENSING (MODIS - MOD16A2)

Bosker, M., Park, J., & Roberts, M. (2018). Definition Matters : Metropolitan Areas and Agglomeration Economies in a Large Developing Country. Retrieved from Washington DC: http://hdl.handle.net/10986/30847
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS NTL)

Bosker, M., Park, J., & Roberts, M. (2021). Definition matters. Metropolitan areas and agglomeration economies in a large-developing country. Journal of Urban Economics, 125, 103275. doi:10.1016/j.jue.2020.103275
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points) - 10.7927/H4BC3WG1
REMOTE SENSING (VIIRS NTL)

Boudet, F., MacDonald, G. K., Robinson, B. E., & Samberg, L. H. (2020). Rural-urban connectivity and agricultural land management across the Global South. Global Environmental Change, 60, 101982. doi:10.1016/j.gloenvcha.2019.101982
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
Population Dynamics (Global Estimated Net Migration Grids By Decade, v1) - 10.7927/H4319SVC
NASA REMOTE SENSING (MODIS)

Bouma, M. J., Siraj, A., Rodo, X., & Pascual, M. (2016). El Niño-based malaria epidemic warning for Oromia, Ethiopia for August 2016 to July 2017. Tropical Medicine & International Health, 21(11), 1481-1488. doi:10.1111/tmi.12776
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Bowker, J. N., De Vos, A., Ament, J. M., & Cumming, G. S. (2017). Effectiveness of Africa's tropical protected areas for maintaining forest cover. Conservation Biology, 31(3), 559-569. doi:10.1111/cobi.12851
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)
NASA REMOTE SENSING (SRTM)

Bradshaw, C. D., Lunt, D. J., Flecker, R., Salzmann, U., Pound, M. J., Haywood, A. M., & Eronen, J. T. (2012). The relative roles of CO2 and palaeogeography in determining late Miocene climate: results from a terrestrial model–data comparison. Climate of the Past, 8(4), 1257-1285. doi:10.5194/cp-8-1257-2012
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Bradshaw, C. J. A., & Di Minin, E. (2019). Socio-economic predictors of environmental performance among African nations. Scientific Reports, 9(1), 9306. doi:10.1038/s41598-019-45762-3
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Brady, O. J., Gething, P. W., Bhatt, S., Messina, J. P., Brownstein, J. S., Hoen, A. G., . . . Hay, S. I. (2012). Refining the global spatial limits of Dengue virus transmission by evidence-based consensus. PLoS Neglected Tropical Diseases, 6(8), e1760. doi:10.1371/journal.pntd.0001760
Global Rural-Urban Mapping Project (GRUMP) beta (population count)

Brandsch, J., & Python, A. (2021). Provoking ordinary people: The effects of terrorism on civilian violence. Journal of Conflict Resolution, 65(1), 135-165. doi:10.1177/0022002720937748
Gridded Population of the World (GPW) v4 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

Brandt, A. R., Millard-Ball, A., Ganser, M., & Gorelick, S. M. (2013). Peak oil demand: The role of fuel efficiency and alternative fuels in a global oil production decline. Environmental Science & Technology, 47(14), 8031-8041. doi:10.1021/es401419t
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Brecht, H., Dasgupta, S., Laplante, B., Murray, S., & Wheeler, D. (2012). Sea-level rise and storm surges. The Journal of Environment and Development, 21(1), 120-138. doi:10.1177/1070496511433601
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (SRTM)

Brecht, H., Deichmann, U., & Wang, H. G. (2013). A Global Urban Risk Index. Retrieved from Washington DC: http://hdl.handle.net/10986/15865
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Brinegar, S. J., & Popick, S. J. (2010). A comparative analysis of small area population estimation methods. Cartography and Geographic Information Science, 37(4), 273-284. doi:10.1559/152304010793454327
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Broms, K. M., Hooten, M. B., Johnson, D. S., Altwegg, R., & Conquest, L. L. (2016). Dynamic occupancy models for explicit colonization processes. Ecology, 97(1), 194-204. doi:10.1890/15-0416.1
Global Agricultural Lands (Cropland)
Global Agricultural Lands (Pasture)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Broms, K. M., Johnson, D. S., Altwegg, R., & Conquest, L. L. (2013). Spatial occupancy models applied to atlas data show Southern ground hornbills strongly depend on protected areas. Ecological Applications, 24(2), 363-374. doi:10.1890/12-2151.1
Global Agricultural Lands (Cropland)
Global Agricultural Lands (Pasture)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Brooker, S. J., Clements, A. C. A., Hotez, P. J., Hay, S. I., Tatem, A. J., Bundy, D. A. P., & Snow, R. W. (2006). The co-distribution of Plasmodium falciparum and hookworm among African schoolchildren. Malaria Journal, 5, 8pp. doi:10.1186/1475-2875-5-99
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Brown, M. E. (2008). Population datasets. In Famine Early Warning Systems and Remote Sensing Data (pp. 189-202): Springer.
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Brown, S., Nicholls, R. J., Goodwin, P., Haigh, I. D., Lincke, D., Vafeidis, A. T., & Hinkel, J. (2018). Quantifying land and people exposed to sea‐level rise with no mitigation and 1.5°C and 2.0°C rise in global temperatures to year 2300. Earth's Future, 6(3), 583-600. doi:10.1002/2017EF000738
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H
NASA REMOTE SENSING (SRTM)

Buckley, L. B., & Huey, R. B. (2016). Temperature extremes: geographic patterns, recent changes, and implications for organismal vulnerabilities. Global Change Biology, 22(12), 3829-3842. doi:10.1111/gcb.13313
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Burke, M., Gong, E., & Jones, K. (2011). Income Shocks and HIV in Sub-Saharan Africa. Retrieved from Washington DC: http://www.ifpri.org/publication/income-shocks-and-hiv-sub-saharan-africa
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Burke, S. M., Mulligan, M., Parks, K., & van Soesbergen, A. (2011). DR8a: Quantifying change in ecosystem services and exposure to hazards in the Mediterranean basin over the next 50 years that might be relevant to migration. Retrieved from London: http://webarchive.nationalarchives.gov.uk/20121212135622/http://www.bis.gov.uk/assets/foresight/docs/migration/drivers/11-1177-dr8a-ecosystem-services-and-hazards-in-mediterranean-basin.pdf
http://www.bis.gov.uk/foresight/migration
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Butchart, S. H. M., Clarke, M., Smith, R. J., Sykes, R. E., Scharlemann, J. P. W., Harfoot, M., . . . Burgess, N. D. (2015). Shortfalls and solutions for meeting national and global conservation area targets. Conservation Letters, 8(5), 329-337. doi:10.1111/conl.12158
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Butler, D. (2011). Reactors, residents and risk. Nature. doi:10.1038/472400a
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Buys, P., Dasgupta, S., Thomas, T., & Wheeler, D. (2008). Determinants of a Digital Divide in Sub-Saharan Africa: A Spatial Econometric Analysis of Cell Phone Coverage. Retrieved from Washington DC: http://hdl.handle.net/10986/6436
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Buys, P., Dasgupta, S., Thomas, T. S., & Wheeler, D. (2009). Determinants of a digital divide in Sub-Saharan Africa: A spatial econometric analysis of cell phone coverage. World Development, 37(9), 1494-1505. doi:10.1016/j.worlddev.2009.01.011
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Buytaert, W., Moulds, S., Acosta, L., De Bièvre, B., Olmos, C., Villacis, M., . . . Verbist, K. (2017). Glacier melt content of water use in the tropical Andes. Environmental Research Letters, 12(11), 8pp. doi:10.1088/1748-9326/aa926c
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (TRMM)

Cai, Q., Zeng, N., Zhao, F., Han, P., Liu, D., Lin, X., & Chen, J. (2022). The impact of human and livestock respiration on CO2 emissions from 14 global cities. Carbon Balance and Management, 17(1), 17. doi:10.1186/s13021-022-00217-7
Gridded Population of the World (GPW) v4.11 (population count UN WPP-adjusted) - 10.7927/H4PN93PB
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
NASA REMOTE SENSING (MODIS)

Cai, W., Zhang, C., Zhang, S., Bai, Y., Callaghan, M., Chang, N., . . . Gong, P. (2022). The 2022 China report of the Lancet Countdown on health and climate change: leveraging climate actions for healthy ageing. The Lancet Public Health, 7(12), e1073-e1090. doi:10.1016/S2468-2667(22)00224-9
Gridded Population of the World (GPW) v4 (population count UN WPP-adjusted)
Global Rural-Urban Mapping Project (GRUMP) v1.02 (urban extent polygons)
NASA REMOTE SENSING (MODIS)

Calderon, A., & Silva, V. (2022). Forecasting seismic risk within the context of the Sendai framework: An application to the Dominican Republic. International Journal of Disaster Risk Reduction, 82, 103364. doi:10.1016/j.ijdrr.2022.103364
Gridded Population of the World (GPW) v4 (admin unit center points with population estimates) - 10.7927/H4F47M2C
Global Rural-Urban Mapping Project (GRUMP) v1 (National Identifier Grid) - 10.7927/H40K26HS

Calderón, A., & Silva, V. (2021). Exposure forecasting for seismic risk estimation: Application to Costa Rica. Earthquake Spectra, 37(3), 1806-1826. doi:10.1177/8755293021989333
Gridded Population of the World (GPW) v4 (unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Calderone, M., Maystadt, J.-F., & You, L. (2013). Local Warming and Violent Conflict in North and South Sudan. Retrieved from Leuven, Belgium: http://www.econ.kuleuven.be/licos/publications/dp/dp335
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)

Calka, B., & Bielecka, E. (2020). GHS-POP accuracy assessment: Poland and Portugal case study. Remote Sensing, 12(7), 1105. doi:10.3390/rs12071105
Gridded Population of the World (GPW) v3 (collection)
Gridded Population of the World (GPW) v4 (Doxsey-Whitfield et al. paper - data set unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)

Calka, B., Nowak Da Costa, J., & Bielecka, E. (2017). Fine scale population density data and its application in risk assessment. Geomatics, Natural Hazards and Risk, 7(2), 1440-1455. doi:10.1080/19475705.2017.1345792
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Cao, G., Wang, S., Hwang, M., Padmanabhan, A., Zhang, Z., & Soltani, K. (2015). A scalable framework for spatiotemporal analysis of location-based social media data. Computers, Environment and Urban Systems, 51, 70-82. doi:10.1016/j.compenvurbsys.2015.01.002
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Cardinale, B. J., Gonzalez, A., Allington, G. R. H., & Loreau, M. (2018). Is local biodiversity declining or not? A summary of the debate over analysis of species richness time trends. Biological Conservation, 219, 175-183. doi:10.1016/j.biocon.2017.12.021
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Carrel, M., & Emch, M. (2013). Genetics: A new landscape for medical geography. Annals of the American Association of Geographers, 103(6), 1452-1467. doi:10.1080/00045608.2013.784102
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Natural Disaster Hotspots (collection)

Castells-Quintana, D., Krause, M., & McDermott, T. K. J. (2021). The urbanising force of global warming: the role of climate change in the spatial distribution of population. Journal of Economic Geography, 21(4), 531-556. doi:10.1093/jeg/lbaa030
Gridded Population of the World (GPW) v4.11 (population count UN WPP-adjusted)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

Castells-Quintana, D., Lopez-Uribe, M. d. P., & McDermott, T. K. J. (2021). Population Displacement and Urban Conflict: Global Evidence from more than 3300 Flood Events. Retrieved from http://hdl.handle.net/1992/49963
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Castells-Quintana, D., Lopez-Uribe, M. d. P., & McDermott, T. K. J. (2022). Population displacement and urban conflict: Global evidence from more than 3300 flood events. Journal of Development Economics, 158, 102922. doi:10.1016/j.jdeveco.2022.102922
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Cattaneo, C., & Peri, G. (2015). The Migration Response to Increasing Temperatures. Retrieved from Cambridge, MA: https://doi.org/10.3386/w21622
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Caughlin, T. T., Ruktanonchai, N., Acevedo, M. A., Lopiano, K. K., Prosper, O., Eagle, N., & Tatem, A. J. (2013). Place-based attributes predict community membership in a mobile phone communication network. PLoS ONE, 8(2), e56057. doi:10.1371/journal.pone.0056057
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Causone, F., Sangalli, A., Pagliano, L., & Carlucci, S. (2017). An exergy analysis for Milano Smart City. Energy Procedia, 111, 867-876. doi:10.1016/j.egypro.2017.03.249
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Cecchi, G., Wint, G. R. W., Shaw, A., Marletta, A., Mattioli, R., & Robinson, T. P. (2010). Geographic distribution and environmental characterization of livestock production systems in Eastern Africa. Agriculture, Ecosystems & Environment, 135(1-2), 98-110. doi:10.1016/j.agee.2009.08.011
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)

Center for International Earth Science Information Network (CIESIN). (2011). MR4: Estimating net migration by ecosystem and by decade: 1970–2010. Retrieved from London: http://webarchive.nationalarchives.gov.uk/20121212135622/http://bis.gov.uk/assets/foresight/docs/migration/modelling/11-1166-mr4-estimating-net-migration-by-ecosystem-decade.pdf

China Dimensions (China County-Level Data on Population (Census) and Agriculture, Keyed to 1:1M GIS Map)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Cervigni, R., & Morris, M. (2016). Confronting Drought in Africa’s Drylands : Opportunities for Enhancing Resilience. Retrieved from Washington DC: http://hdl.handle.net/10986/23576
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Cervigni, R., Morris, M., Scandizzo, P., Savastano, S., Paolantonio, A., Alfani, F., . . . Behnke, R. (2016). Vulnerability in drylands today. In R. Cervigni & M. Morris (Eds.), Confronting Drought in Africa’s Drylands: Opportunities for Enhancing Resilience (pp. 49-64). Washington DC: Agence Française de Développement and World Bank.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Cervigni, R., Valentini, R., & Santini, M. (2013). Toward Climate-Resilient Development in Nigeria. Washington DC: World Bank.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Ch, R., Martin, D. A., & Vargas, J. F. (2018). Measuring the Size and Growth of Cities Using Nighttime Light. Retrieved from http://scioteca.caf.com/handle/123456789/1279
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (DMSP-OLS)

Ch, R., Martin, D. A., & Vargas, J. F. (2021). Measuring the size and growth of cities using nighttime light. Journal of Urban Economics, 125, 103254. doi:10.1016/j.jue.2020.103254
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS NTL)

Chadburn, S. E., Burke, E. J., Cox, P. M., Friedlingstein, P., Hugelius, G., & Westermann, S. (2017). An observation-based constraint on permafrost loss as a function of global warming. Nature Climate Change, 7, 340-344. doi:10.1038/nclimate3262
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Chaiban, C., Da Re, D., Robinson, T. P., Gilbert, M., & Vanwambeke, S. O. (2021). Poultry farm distribution models developed along a gradient of intensification. Preventive Veterinary Medicine, 186, 105206. doi:10.1016/j.prevetmed.2020.105206
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)

Chamberlin, J., Jayne, T. S., & Headey, D. (2014). Scarcity amidst abundance? Reassessing the potential for cropland expansion in Africa. Food Policy, 48, 51-65. doi:10.1016/j.foodpol.2014.05.002
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Chamberlin, J., & Ricker-Gilbert, J. (2016). Participation in rural land rental markets in Sub-Saharan Africa: Who benefits and by how much? Evidence from Malawi and Zambia. American Journal of Agricultural Economics, 98(5), 1507-1528. doi:10.1093/ajae/aaw021
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Chammartin, F., Houngbedji, C. A., Hürlimann, E., Yapi, R. B., Silué, K. D., Soro, G., . . . Vounatsou, P. (2014). Bayesian risk mapping and model-based estimation of Schistosoma haematobium–Schistosoma mansoni co-distribution in Côte d′Ivoire. PLoS Neglected Tropical Diseases, 8(12), e3407. doi:10.1371/journal.pntd.0003407
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Last of the Wild v2 Global Human Influence Index (Geographic)
NASA REMOTE SENSING (MODIS)

Chan, S. K., Bindlish, R., O'Neill, P., Jackson, T., Njoku, E., Dunbar, S., . . . Kerr, Y. (2018). Development and assessment of the SMAP enhanced passive soil moisture product. Remote Sensing of Environment, 204, 931-941. doi:10.1016/j.rse.2017.08.025
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS) (MOD44W, MCD12Q1, MOD13A2)
NASA REMOTE SENSING (SMAP)

Chao, D. L., Halstead, S. B., Halloran, M. E., & Longini, I. M., Jr. (2012). Controlling Dengue with vaccines in Thailand. PLoS Neglected Tropical Diseases, 6(10), e1876. doi:10.1371/journal.pntd.0001876
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Chao, D. L., Longini, I. M., Jr., & Halloran, M. E. (2013). The effects of vector movement and distribution in a mathematical model of dengue transmission. PLoS ONE, 8(10), e76044. doi:10.1371/journal.pone.0076044
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Chaplin-Kramer, R., Ramler, I., Sharp, R., Haddad, N. M., Gerber, J. S., West, P. C., . . . King, H. (2015). Degradation in carbon stocks near tropical forest edges. Nature Communications, 6, 10158. doi:10.1038/ncomms10158
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
NASA REMOTE SENSING (GLAS LIDAR)
NASA REMOTE SENSING (MODIS Land cover (MCD12Q1))

Charpe, M. (2019). Local Mulipliers in a Selection of Sub-Saharan Countries. Retrieved from Geneva: https://www.ilo.org/employment/Whatwedo/Projects/sector-trade-policies/WCMS_723226/lang--en/index.htm
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Chen, L., Hasan, R., & Jiang, Y. (2020). Urban Agglomeration and Firm Innovation: Evidence from Asia. Retrieved from https://www.adb.org/sites/default/files/institutional-document/575671/ado2020bp-urban-agglomeration-firm-innovation-asia.pdf
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS NTL)

Chen, M., Xian, Y., Huang, Y., Zhang, X., Hu, M., Guo, S., . . . Liang, L. (2022). Fine-scale population spatialization data of China in 2018 based on real location-based big data. Scientific Data, 9(1), 624. doi:10.1038/s41597-022-01740-5
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Chen, X. (2016). Using nighttime lights data as a proxy in social scientific research. In F. M. Howell, J. R. Porter, & S. A. Matthews (Eds.), Recapturing Space: New Middle-Range Theory in Spatial Demography (Vol. 1, pp. 301-323): Springer International Publishing.
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1)
REMOTE SENSING (DMSP-OLS)

Chen, Y., Li, X., Huang, K., Luo, M., & Gao, M. (2020). High-resolution gridded population projections for China under the Shared Socioeconomic Pathways. Earth's Future, 8(6), e2020EF001491. doi:10.1029/2020ef001491
Gridded Population of the World (GPW) v3 (collection)
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Chen, Y., Zhang, R., Ge, Y., Jin, Y., & Xia, Z. (2019). Downscaling census data for gridded population mapping with geographically weighted area-to-point regression kriging. IEEE Access, 7, 149132-149141. doi:10.1109/ACCESS.2019.2945000
Gridded Population of the World (GPW) v4 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Childs, S. J., Schumacher, R. S., & Strader, S. M. (2020). Projecting end-of-century human exposure from tornadoes and severe hailstorms in eastern Colorado: Meteorological and population perspectives. Weather, Climate, and Society, 12(3), 575-595. doi:10.1175/wcas-d-19-0153.1
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Chollett, I., Collin, R., Bastidas, C., Cróquer, A., Gayle, P. M. H., Jordán-Dahlgren, E., . . . Cortés, J. (2017). Widespread local chronic stressors in Caribbean coastal habitats. PLoS ONE, 12(12), e0188564. doi:10.1371/journal.pone.0188564
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (QuikSCAT)

Chomitz, K. M., Buys, P., De Luca, G., Thomas, T. S., & Wertz-Kanounnikoff, S. (2007). At Loggerheads?:  Agricultural Expansion, Poverty Reduction, and Environment in the Tropical Forests (Vol. 36789). Washington DC: World Bank.
Global Rural-Urban Mapping Project (GRUMP) alpha (land and geographic area grids)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Chomitz, K. M., Buys, P., & Thomas, T. S. (2005). Quantifying the Rural-Urban Gradient in Latin America and the Caribbean. Retrieved from Washington DC: http://hdl.handle.net/10986/8317
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Christenson, E., Bain, R., Wright, J., Aondoakaa, S., Hossain, R., & Bartram, J. (2014). Examining the influence of urban definition when assessing relative safety of drinking-water in Nigeria. Science of The Total Environment, 490, 301-312. doi:10.1016/j.scitotenv.2014.05.010
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Christiaen, B., Bernard, R. J., Mortazavi, B., Cebrian, J., & Ortmann, A. C. (2014). The degree of urbanization across the globe is not reflected in the δ15N of seagrass leaves. Marine Pollution Bulletin, 83(2), 440-445. doi:10.1016/j.marpolbul.2013.06.024
Global Agricultural Inputs (nitrogen fertilizer application)
Global Rural-Urban Mapping Project (GRUMP) v1 (land and geographic area grids)

Chuvieco, E., Giglio, L., & Justice, C. (2008). Global characterization of fire activity: Toward defining fire regimes from Earth observation data. Global Change Biology, 14(7), 1488-1502. doi:10.1111/j.1365-2486.2008.01585.x
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)

Ciais, P., Wang, Y., Andrew, R., Bréon, F.-M., Chevallier, F., Broquet, G., . . . Tao, S. (2020). Biofuel burning and human respiration bias on satellite estimates of fossil fuel CO2 emissions. Environmental Research Letters, 15(7), 074036. doi:10.1088/1748-9326/ab7835
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Cimatti, M., Ranc, N., Benítez-López, A., Maiorano, L., Boitani, L., Cagnacci, F., . . . Santini, L. (2021). Large carnivore expansion in Europe is associated with human population density and land cover changes. Diversity and Distributions, 27(4), 602-617. doi:10.1111/ddi.13219
Gridded Population of the World (GPW) v4.11 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Cofala, J., Bertok, I., Borken-Kleefeld, J., Heyes, C., Kiesewetter, G., Klimont, Z., . . . Amann, M. (2015). Implications of Energy Trajectories from the World Energy Outlook 2015 for India's Air Pollution: Final Report. Retrieved from Laxenburg, Austria: http://www.worldenergyoutlook.org/media/weowebsite/2015/Air_pollution_emissions_impacts_India_WEO2015_IIASA.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Cohen, J. M., Civitello, D. J., Brace, A. J., Feichtinger, E. M., Ortega, C. N., Richardson, J. C., . . . Rohr, J. R. (2016). Spatial scale modulates the strength of ecological processes driving disease distributions. Proceedings of the National Academy of Sciences, 113(24), E3359-E3364. doi:10.1073/pnas.1521657113
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (AVHRR NDVI)

Colizza, V., Vespignani, A., Perra, N., Poletto, C., Gonçalves, B., Hu, H., . . . Ramasco, J. J. (2009). Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model. PLOS Currents, 11(1), RRN1129. doi:10.1371/currents.RRN1129
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Collins, K. (2011). Land Use. In Resource Efficiency:  Economics and Outlook for Asia and the Pacific (pp. 103-135): United Nations Environment Program (UNEP).
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Colston, J. M., & Burgert, C. R. (2014). Using Geospatial Analysis to Inform Decision Making in Targeting Health Facility-Based Programs:  A Guidance Document. Retrieved from Chapel Hill: http://pdf.usaid.gov/pdf_docs/PA00K2S4.pdf
http://www.cpc.unc.edu/measure/publications
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Commission on Population and Development, U. N. (2016). Supplementary References to the Report of the Secretary-General on Strengthening the Demographic Evidence Base for the Post-2015 Development Agenda (E/CN.9/2016/3). Retrieved from New York: http://www.un.org/en/development/desa/population/commission/pdf/49/E_CN_9_2016_3_Supplement.pdf
Gridded Population of the World (GPW) v3 (collection)
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Conchedda, G., Lambin, E. F., & Mayaux, P. (2011). Between land and sea: Livelihoods and environmental changes in mangrove ecosystems of Senegal. Annals of the American Association of Geographers, 101(6), 1259-1284. doi:10.1080/00045608.2011.579534
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Convertino, M., Liu, Y., & Hwang, H. (2014). Optimal surveillance network design: a value of information model. Complex Adaptive Systems Modeling, 2(1), 1-22. doi:10.1186/s40294-014-0006-8
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Coppola, A. I., Seidel, M., Ward, N. D., Viviroli, D., Nascimento, G. S., Haghipour, N., . . . Schmidt, M. W. I. (2019). Marked isotopic variability within and between the Amazon River and marine dissolved black carbon pools. Nature Communications, 10(1), 4018. doi:10.1038/s41467-019-11543-9
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (CAMREX)

Corker, J. (2017). Fertility and child mortality in urban West Africa: Leveraging geo-referenced data to move beyond the urban/rural dichotomy. Population, Space and Place, 23(3), 15pp. doi:10.1002/psp.2009
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Cowden, J. R., Mihelcic, J. R., & Watkins, D. W. (2006). Domestic rainwater harvesting assessment to improve water supply and health in Africa's urban slums. Paper presented at the World Environmental and Water Resource Congress 2006, Omaha, NE.
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)

Cox, W. (2010). How much of the world is covered by cities.  Retrieved from http://www.newgeography.com/content/001689-how-much-world-covered-cities
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Crenshaw, E. M., & Robison, K. K. (2023). Making war on the fabric of society: A cross-national analysis of terrorism, urban public space and generalized social trust in Europe. Terrorism and Political Violence, 35(5), 1200-1216. doi:10.1080/09546553.2022.2032675
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Creutzig, F., Lohrey, S., Bai, X., Baklanov, A., Dawson, R., Dhakal, S., . . . Walsh, B. (2019). Upscaling urban data science for global climate solutions. Global Sustainability, 2, e2. doi:10.1017/sus.2018.16
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Satellite-Derived Environmental Indicators (Global Urban Heat Island (UHI) Data Set, v1)- 10.7927/H4H70CRF
NASA REMOTE SENSING (OCO)

Creutzig, F., Lohrey, S., Bai, X., Dawson, R., Dhakal, S., Lamb, W., . . . Walsh, B. (2018). Upscaling urban data science for global climate solutions. Paper presented at the CitiesIPCC Cities and Climate Change Science Conference, Edmonton. https://citiesipcc.org/wp-content/uploads/2018/03/Upscaling-urban-data-science-for-global-climate-solutions-v28_clean.pdf
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Satellite-Derived Environmental Indicators (Global Urban Heat Island (UHI) Data Set, v1)- 10.7927/H4H70CRF
NASA REMOTE SENSING (OCO)

Cronin, J., Zabel, F., Dessens, O., & Anandarajah, G. (2020). Land suitability for energy crops under scenarios of climate change and land-use. GCB Bioenergy, 12(8), 648-665. doi:10.1111/gcbb.12697
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Cronk, R. D., & Bartram, J. (2017). Factors influencing water system functionality in Nigeria and Tanzania: a regression and Bayesian network analysis. Environmental Science & Technology, 51(19), 11336-11345. doi:10.1021/acs.est.7b03287
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Cullen, L., Jr., Stanton, J. C., Lima, F., Uezu, A., Perilli, M. L. L., & Akçakaya, H. R. (2016). Implications of fine-grained habitat fragmentation and road mortality for jaguar conservation in the Atlantic Forest, Brazil. PLoS ONE, 11(12), e0167372. doi:10.1371/journal.pone.0167372
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Curtis, K. J., & Bergmans, R. S. (2018). Estimating the population impacts of sea level rise. In R. McLeman & F. Gemenne (Eds.), Routledge Handbook of Environmental Displacement and Migration (pp. 106-116): Routledge.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Cutter, S. L. (2010). Social Science Perspectives on Hazards and Vulnerability Science. In T. Beer (Ed.), Geophysical Hazards:  Minimizing Risks, Maximizing Awareness (pp. 17-30): Springer Netherlands.
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Natural Disaster Hotspots (collection)

Dainese, M., Kühn, I., & Bragazza, L. (2014). Alien plant species distribution in the European Alps: influence of species’ climatic requirements. Biological Invasions, 16(4), 815-831. doi:10.1007/s10530-013-0540-x
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Dao, H., & van Woerden, J. (2009). Population data for climate change analysis. In J. M. Guzman, G. Martine, G. McGranahan, D. Schensul, & C. Tacoli (Eds.), Population Dynamics and Climate Change (pp. 218-238). New York: IIED/UNFPA.
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)
Socioeconomic Downscaled Projections (collection)

Darrigran, G., Agudo-Padrón, I., Baez, P., Belz, C., Cardoso, F., Carranza, A., . . . Damborenea, C. (2020). Non-native mollusks throughout South America: emergent patterns in an understudied continent. Biological Invasions, 22, 853-871. doi:10.1007/s10530-019-02178-4
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Dasgupta, S., Laplante, B., Meisner, C., Wheeler, D., & Yan, J. (2007). The Impact of Sea Level Rise on Developing Countries:  A Comparative Analysis (Policy Research Working Paper). Retrieved from Washington DC: http://hdl.handle.net/10986/7174
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Dasgupta, S., Laplante, B., Murray, S., & Wheeler, D. (2009). Sea-Level Rise And Storm Surges: A Comparative Analysis of Impacts in Developgin Countries, Volume 1. Retrieved from Washington DC: http://hdl.handle.net/10986/4095
https://doi.org/10.1596/1813-9450-4901
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Dasgupta, S., Laplante, B., Murray, S., & Wheeler, D. (2011). Exposure of developing countries to sea-level rise and storm surges. Climatic Change, 106(4), 567-579. doi:10.1007/s10584-010-9959-6
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (MERIS GlobCover)

Day, J., Ashfield, S., Brown, D., Gale, P., Heeley, L., Snary, E., . . . Jones, G. (2021). Copernicus User Uptake (CUU): Applying Earth Observation (EO) to horizon scanning for Emerging Infectious Diseases (EIDs). Retrieved from Peterborough, UK: https://hub.jncc.gov.uk/assets/9efd4ce0-b7a9-4ad2-b7ed-f0e7646927b3
Global Agricultural Lands (collection)
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Human Appropriation of Net Primary Productivity (HANPP) (collection)
Last of the Wild v3 (Human Footprint, 2018 Release (1993)) - 10.7927/H4H9938Z
Last of the Wild v3 (Human Footprint, 2018 Release (2009)) - 10.7927/H46T0JQ4
NASA REMOTE SENSING (ASTER)
NASA REMOTE SENSING (GRACE)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SMAP)
NASA REMOTE SENSING (VIIRS DNB)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (Landsat)

Day, J., Chen, Y., Ellis, P., & Roberts, M. (2016). A free, open-source tool for identifying urban agglomerations using point data. Spatial Economic Analysis, 11(1), 67-91. doi:10.1080/17421772.2016.1102957
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Day, J., Chen, Y., Ellis, P., & Roberts, M. (2017). A free, open-source tool for identifying urban agglomerations using polygon data. Environment Systems and Decisions, 37(1), 68-87. doi:10.1007/s10669-017-9623-z
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

de Andrés, M., Barragán, J. M., & Scherer, M. (2018). Urban centres and coastal zone definition: Which area should we manage? Land Use Policy, 71, 121-128. doi:10.1016/j.landusepol.2017.11.038
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points) - 10.7927/H4M906KR

De Bono, A., & Mora, M. G. (2014). A global exposure model for disaster risk assessment. International Journal of Disaster Risk Reduction, 10(Part B), 442-451. doi:10.1016/j.ijdrr.2014.05.008
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)

de Brauw, A., Mueller, V., & Lee, H. L. (2014). The role of rural–urban migration in the structural transformation of Sub-Saharan Africa. World Development, 63, 33-42. doi:10.1016/j.worlddev.2013.10.013
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

de Castro, M. (2007). Spatial demography: An opportunity to improve policy making at diverse decision levels. Population Research and Policy Review, 26(5-6), 477-509. doi:10.1007/s11113-007-9041-x
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (DMSP-OLS)

De Cian, E., & Sue Wing, I. (2019). Global energy consumption in a warming climate. Environmental and Resource Economics, 72(2), 365-410. doi:10.1007/s10640-017-0198-4
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

de la Croix, D., & Gobbi, P. E. (2017). Population density, fertility, and demographic convergence in developing countries. Journal of Development Economics, 127, 13-24. doi:10.1016/j.jdeveco.2017.02.003
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (DMSP-OLS)

de la Croix, D., & Gobbi, P. E. (2022). Population homeostasis in Sub-Saharan Africa. Economics & Human Biology, 45, 101102. doi:10.1016/j.ehb.2021.101102
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

de la Torre, J. A., González-Maya, J. F., Zarza, H., Ceballos, G., & Medellín, R. A. (2018). The jaguar's spots are darker than they appear: assessing the global conservation status of the jaguar Panthera onca. Oryx, 52(2), 300-315. doi:10.1017/S0030605316001046
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

De Lotto, R., Pietra, C., & Venco, E. M. (2019). Risk analysis: A focus on urban exposure estimation. Paper presented at the Computational Science and Its Applications – ICCSA 2019, St. Petersburg, Russia.
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

De Palma, A., Kuhlmann, M., Bugter, R., Ferrier, S., Hoskins, A. J., Potts, S. G., . . . Purvis, A. (2017). Dimensions of biodiversity loss: Spatial mismatch in land-use impacts on species, functional and phylogenetic diversity of European bees. Diversity and Distributions, 23(12), 1435-1446. doi:10.1111/ddi.12638
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
NASA REMOTE SENSING (MODIS)

de Sherbinin, A. M. (2011). The biophysical and geographical correlates of child malnutrition in Africa. Population, Space and Place, 17(1), 27-46. doi:10.1002/psp.599
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (SRTM)

de Sherbinin, A. M. (2015, 26-31 July 2015). Integration of remote sensing and population data: Lessons from the NASA Socioeconomic data and applications center. Paper presented at the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Satellite-Derived Environmental Indicators (Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth (AOD), v1)

de Sherbinin, A. M. (2017). Remote sensing and socioeconomic data integration:  Lessons from the NASA Socioeconomic Data and Applications Center. In D. A. Quattrochi, E. Wentz, N. S.-N. Lam, & C. W. Emerson (Eds.), Integrating Scale in Remote Sensing and GIS (pp. 371-388): CRC Press.
Gridded Population of the World (GPW) v3 (collection)
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Poverty Mapping (collection)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

de Sherbinin, A. M., & Chen, R. S. (2006). Global change: Revealing humanity's impact on Earth. Earth Imaging Journal, 3(3), 12-17. 
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

de Sherbinin, A. M., Levy, M. A., Adamo, S. B., MacManus, K., Yetman, G., Mara, V., . . . Pistolesi, L. (2012). Migration and risk: net migration in marginal ecosystems and hazardous areas. Environmental Research Letters, 7(4), 045602. doi:10.1088/1748-9326/7/4/045602
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Natural Disaster Hotspots (cyclone hazard frequency and distribution)
National Aggregates of Geospatial Data Collection (NAGDC) (Population, Landscape, And Climate Estimates (PLACE), v3)
Population Dynamics (Global Estimated Net Migration Grids By Decade, v1)

de Sherbinin, A. M., Mara, V., Jaiteh, M., & Levy, M. A. (2016). Socioeconomics. In Transboundary River Basins: Status and Trends (pp. 25-26). Nairobi: United Nations Environment Programme.
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

de Sherbinin, A. M., Schiller, A., & Pulsipher, A. (2007). The vulnerability of global cities to climate hazards. Environment and Urbanization, 19(1), 39-64. doi:10.1177/0956247807076725
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
Natural Disaster Hotspots (collection)

de Souza, J. P. A. (2015). Evidence of growth complementarity between agriculture and industry in developing countries. Structural Change and Economic Dynamics, 34, 1-18. doi:10.1016/j.strueco.2015.05.001
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Dedoussi, I. C., Eastham, S. D., Monier, E., & Barrett, S. R. H. (2020). Premature mortality related to United States cross-state air pollution. Nature, 578(7794), 261-265. doi:10.1038/s41586-020-1983-8
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)
NASA REMOTE SENSING (LIS/OTD)

Deka, M. A. (2020). Mapping the geographic distribution of Tungiasis in Sub-Saharan Africa. Tropical Medicine and Infectious Disease, 5(3), 122. doi:10.3390/tropicalmed5030122
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)
NASA REMOTE SENSING (MODIS EVI)

Deka, M. A. (2022). Predictive risk mapping of schistosomiasis in Madagascar using ecological niche modeling and precision mapping. Tropical Medicine and Infectious Disease, 7(2), 15. doi:10.3390/tropicalmed7020015
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

Deka, M. A., & Heukelbach, J. (2022). Distribution of Tungiasis in Latin America: Identification of areas for potential disease transmission using an ecological niche model. The Lancet Regional Health - Americas, 5, 100080. doi:10.1016/j.lana.2021.100080
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (DMSP-OLS)

Dell, M., Jones, B. F., & Olken, B. A. (2008). Climate Change and Economic Growth: Evidence from the Last Half Century. Retrieved from Cambridge, MA: https://doi.org/10.3386/w14132
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Dell, M., Jones, B. F., & Olken, B. A. (2012). Temperature shocks and economic growth: Evidence from the last half century. American Economic Journal: Macroeconomics, 4(3), 66-95. doi:10.1257/mac.4.3.66
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Dellicour, S., Rose, R., & Pybus, O. G. (2016). Explaining the geographic spread of emerging epidemics: A framework for comparing viral phylogenies and environmental landscape data. BMC Bioinformatics, 17(1), 1-12. doi:10.1186/s12859-016-0924-x
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Dellicour, S., Tatem, A. J., Guerra, C. A., Snow, R. W., & ter Kuile, F. O. (2010). Quantifying the number of pregnancies at risk of malaria in 2007: A demographic study. PLoS Medicine, 7(1), e1000221. doi:10.1371/journal.pmed.1000221
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Demierre, J., Bazilian, M., Carbajal, J., Sherpa, S., & Modi, V. (2014). Potential for Regional Use of East Africa's Natural Gas Retrieved from New York: http://unsdsn.org/wp-content/uploads/2014/05/140528_East_Africa_report_WEB.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)

Demierre, J., Bazilian, M., Carbajal, J., Sherpa, S., & Modi, V. (2015). Potential for regional use of East Africa’s natural gas. Applied Energy, 143, 414-436. doi:10.1016/j.apenergy.2015.01.012
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Demuzere, M., Faehnle, M., Orru, K., Olazabal, E., Geneletti, D., Heidrich, O., . . . Mittal, N. (2014). Evidence on the contribution of green urban infrastructure to climate change mitigation and adaptation. In R. J. Dawson, A. Wyckmans, O. Heidrich, J. Köhler, S. Dobson, & E. Feliu (Eds.), Understanding Cities: Advances in Integrated Assessment of Urban Sustainability, Final Report of COST Action TU0902 (pp. 140-166). Newcastle: Centre for Earth Systems Engineering Research (CESER).
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Deng, C. (2015). Incorporating endmember variability into linear unmixing of coarse resolution imagery: Mapping large-scale impervious surface abundance using a hierarchically object-based spectral mixture analysis. Remote Sensing, 7(7), 9205-9229. doi:10.3390/rs70709205
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)

Denier van der Gon, H., Visschedijk, A., van den Brugh, H., & Dröge, R. (2010). A High Resolution European Emission Data Base for the Year 2005. Retrieved from Dessau-Roßlau, Germany: http://www.umweltbundesamt.de/sites/default/files/medien/461/publikationen/texte_41_2013_appelhans_e03_komplett_0.pdf
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Denis, E., & Moriconi-Ebrard, F. (2009). La croissance urbaine en Afrique de l'Ouest. La Chronique du CEPED, 57, 1-5. Retrieved from http://halshs.archives-ouvertes.fr/halshs-00371263/
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Deribe, K., Cano, J., Newport, M. J., Golding, N., Pullan, R. L., Sime, H., . . . Brooker, S. J. (2015). Mapping and modelling the geographical distribution and environmental limits of Podoconiosis in Ethiopia. PLoS Neglected Tropical Diseases, 9(7), e0003946. doi:10.1371/journal.pntd.0003946
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (SRTM)

Deville, P., Linard, C., Martin, S., Gilbert, M., Stevens, F. R., Gaughan, A. E., . . . Tatem, A. J. (2014). Dynamic population mapping using mobile phone data. Proceedings of the National Academy of Sciences, 111(45), 15888-15893. doi:10.1073/pnas.1408439111
Gridded Population of the World (GPW) v2
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Dhewantara, P. W., Mamun, A. A., Zhang, W.-Y., Yin, W.-W., Ding, F., Guo, D., . . . Soares Magalhães, R. J. (2018). Geographical and temporal distribution of the residual clusters of human leptospirosis in China, 2005–2016. Scientific Reports, 8(1), 16650. doi:10.1038/s41598-018-35074-3
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Dhewantara, P. W., Zhang, W., Al Mamun, A., Yin, W.-W., Ding, F., Guo, D., . . . Soares Magalhães, R. J. (2020). Spatial distribution of leptospirosis incidence in the Upper Yangtze and Pearl River Basin, China: Tools to support intervention and elimination. Science of The Total Environment, 725, 138251. doi:10.1016/j.scitotenv.2020.138251
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Dijkstra, L., Florczyk, A. J., Freire, S., Kemper, T., Melchiorri, M., Pesaresi, M., & Schiavina, M. (2021). Applying the Degree of Urbanisation to the globe: A new harmonised definition reveals a different picture of global urbanisation. Journal of Urban Economics, 125, 103312. doi:10.1016/j.jue.2020.103312
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Dimitrova, A. K., Marois, G., Kiesewetter, G., Samir, K. C., Rafaj, P., & Tonne, C. (2021). Health impacts of fine particles under climate change mitigation, air quality control, and demographic change in India. Environmental Research Letters, 16(5), 054025. doi:10.1088/1748-9326/abe5d5
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Doherty, R. M., Sitch, S., Smith, B., Lewis, S. L., & Thornton, P. K. (2010). Implications of future climate and atmospheric CO2 content for regional biogeochemistry, biogeography and ecosystem services across East Africa. Global Change Biology, 16(2), 617-640. doi:10.1111/j.1365-2486.2009.01997.x
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
NASA REMOTE SENSING (MODIS)

Dolan, C. B., BenYishay, A., Grépin, K. A., Tanner, J. C., Kimmel, A. D., Wheeler, D. C., & McCord, G. C. (2019). The impact of an insecticide treated bednet campaign on all-cause child mortality: A geospatial impact evaluation from the Democratic Republic of Congo. PLoS ONE, 14(2), e0212890. doi:10.1371/journal.pone.0212890
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Doll, C. N. H., & Pachauri, S. (2010). Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery. Energy Policy, 38(10), 5661-5670. doi:10.1016/j.enpol.2010.05.014
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

Dong, N., Yang, X., Cai, H., & Xu, F. (2017). Research on grid size suitability of gridded population distribution in urban area: A case study in urban area of Xuanzhou District, China. PLoS ONE, 12(1), e0170830. doi:10.1371/journal.pone.0170830
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Dong, Y., Varquez, A. C. G., & Kanda, M. (2017). Global anthropogenic heat flux database with high spatial resolution. Atmospheric Environment, 150, 276-294. doi:10.1016/j.atmosenv.2016.11.040
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (DMSP-OLS)

Doocy, S., Gorokhovich, Y., Burnham, G., Balk, D., & Robinson, C. (2007). Tsunami mortality estimates and vulnerability mapping in Aceh, Indonesia. American Journal of Public Health, 97(Supplement 1), S146-s151. doi:10.2105/AJPH.2006.095240 
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Dorélien, A., Balk, D., & Todd, M. (2013). What is urban? Comparing a satellite view with the demographic and health surveys. Population and Development Review, 39(3), 413-439. doi:10.1111/j.1728-4457.2013.00610.x
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Doremus, J. (2020). How does eco-label competition affect environmental benefits? The case of Central Africa's forests. Journal of Environmental Economics and Management, 103, 102344. doi:10.1016/j.jeem.2020.102344
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (SRTM)

Dorosh, P., Wang, H. G., You, L., & Schmidt, E. (2012). Road connectivity, population, and crop production in Sub-Saharan Africa. Agricultural Economics, 43(1), 89-103. doi:10.1111/j.1574-0862.2011.00567.x
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Dorosh, P., Wang, H.-G., & You, L. (2010). Crop Production and Road Connectivity in Sub-Saharan Africa: A Spatial Analysis. Retrieved from Washington DC: http://hdl.handle.net/10986/3869
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Dos Santos, S., Adams, E. A., Neville, G., Wada, Y., de Sherbinin, A. M., Mullin Bernhardt, E., & Adamo, S. B. (2017). Urban growth and water access in sub-Saharan Africa: Progress, challenges, and emerging research directions. Science of The Total Environment, 607–608, 497-508. doi:10.1016/j.scitotenv.2017.06.157
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points) - 10.7927/H4BC3WG1

Douglas, E., Wood, S., Sebastian, K., Vörösmarty, C., Chomitz, K., & Tomich, T. (2007). Policy implications of a pan-tropic assessment of the simultaneous hydrological and biodiversity impacts of deforestation. Water Resources Management, 21(1), 211-232. doi:10.1007/s11269-006-9050-2
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Doupe, P., Bruzelius, E., Faghmous, J., & Ruchman, S. G. (2016). Equitable development through deep learning: The case of sub-national population density estimation. Paper presented at the Proceedings of the 7th Annual Symposium on Computing for Development, Nairobi, Kenya. https://doi.org/10.1145/3001913.3001921
GPW (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Landsat 7)
REMOTE SENSING (DMSP-OLS)

Dreher, A., Fuchs, A., Hodler, R., Parks, B. C., Raschky, P. A., & Tierney, M. J. (2014). Aid on Demand: African Leaders and the Geography of China’s Foreign Assistance. Retrieved from Williamsburg VA: http://aiddata.org/sites/default/files/wps3_aid_on_demand_african_leaders_and_the_geography_of_chinas_foreign_assistance.pdf
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1
REMOTE SENSING (DMSP-OLS)

Duan, Y., Shao, X., Shi, Y., Miyazaki, H., Iwao, K., & Shibasaki, R. (2015). Unsupervised global urban area mapping via automatic labeling from ASTER and PALSAR satellite images. Remote Sensing, 7(2), 2171-2192. doi:10.3390/rs70202171
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)
NASA REMOTE SENSING (ASTER)
REMOTE SENSING (PALSAR)

Dube, S., Scholes, R., Nelson, G. C., Mason-D'Croz, D., & Palazzo, A. (2013). South African food security and climate change:  Agriculture Futures. Economics Discussion Papers, Kiel Institute for the World Economy(2013-12), 54. Retrieved from http://www.economics-ejournal.org/economics/discussionpapers/2013-12
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Dube, Y. P., Ruktanonchai, C. W., Sacoor, C., Tatem, A. J., Munguambe, K., Boene, H., . . . Makanga, P. T. (2019). How accurate are modelled birth and pregnancy estimates? Comparison of four models using high resolution maternal health census data in southern Mozambique. BMJ Global Health, 4(Suppl 5), e000894. doi:10.1136/bmjgh-2018-000894
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Dückers, M., Frerks, G., & Birkmann, J. (2015). Exploring the plexus of context and circumstances: An empirical test of a theory of disaster vulnerability. International Journal of Disaster Risk Reduction, 13, 85-95. doi:10.1016/j.ijdrr.2015.04.002
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Duncan, A. J., Bachewe, F., Mekonnen, K., Valbuena, D., Rachier, G., Lule, D., . . . Erenstein, O. (2016). Crop residue allocation to livestock feed, soil improvement and other uses along a productivity gradient in Eastern Africa. Agriculture, Ecosystems & Environment, 228, 101-110. doi:10.1016/j.agee.2016.05.011
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Dunn, G., & Johnson, G. D. (2018). The geo-spatial distribution of childhood diarrheal disease in West Africa, 2008-2013: A covariate-adjusted cluster analysis. Spatial and Spatio-temporal Epidemiology, 26, 127-141. doi:10.1016/j.sste.2018.06.005
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Dunning, C. M., Allan, R. P., & Black, E. (2017). Identification of deficiencies in seasonal rainfall simulated by CMIP5 climate models. Environmental Research Letters, 12(11), 114001. doi:10.1088/1748-9326/aa869e
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) map

Duran, S., Gutierrez, M. A., & Keskinocak, P. (2011). Pre-positioning of emergency items for CARE International. Interfaces, 41(3), 223-237. doi:10.1287/inte.1100.0526
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)

Dwivedi, S., & Chaturvedi, S. (2023). Multifractal analysis of malaria cases in India in a global warming scenario. Journal of Water and Climate Change, 14(5), 1466-1484. doi:10.2166/wcc.2023.383
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Early, R., Bradley, B. A., Dukes, J. S., Lawler, J. J., Olden, J. D., Blumenthal, D. M., . . . Tatem, A. J. (2016). Global threats from invasive alien species in the twenty-first century and national response capacities. Nature Communications, 7(12485). doi:10.1038/ncomms12485
Global Rural-Urban Mapping Project (GRUMP) v1 (land and geographic area grids)

Eckhoff, P. (2012). Malaria parasite diversity and transmission intensity affect development of parasitological immunity in a mathematical model. Malaria Journal, 11(1), 419. doi:10.1186/1475-2875-11-419
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Edmonds, C., Wiegand, M., Koomen, E., Pradhan, M., & Andrée, B. P. J. (2018). The impact of road development on household welfare in rural Papua New Guinea. In N. Yoshino, M. Helble, & U. Abidhadjaev (Eds.), Financing Infrastructure in Asia: Capturing Impacts and New Sources (pp. 189-235). Tokyo: Asian Development Bank Institute.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Gridded Population of the World (GPW) v4 (collection)
Poverty Mapping (Poverty and Food Security Case Studies, v1)

Edmonds, D. A., Caldwell, R. L., Brondizio, E. S., & Siani, S. M. O. (2020). Coastal flooding will disproportionately impact people on river deltas. Nature Communications, 11(1), 4741. doi:10.1038/s41467-020-18531-4
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Ehrlich, D., Balk, D., & Sliuzas, R. (2020). Measuring and understanding global human settlements patterns and processes: innovation, progress and application. International Journal of Digital Earth, 13(1), 2-8. doi:10.1080/17538947.2019.1630072
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Ehrlich, D., Lang, S., Laneve, G., Mubareka, S., Schneiderbauer, S., & Tiede, D. (2009). Can Earth Observation Help to Improve Information on Population? In B. Jasani, M. Pesaresi, S. Schneiderbauer, & G. Zeug (Eds.), Remote Sensing from Space:  Supporting International Peace and Security (pp. 211-237): Springer Netherlands.
Gridded Population of the World (GPW) v1 
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Eicker, U. (2019). Introduction: The challenges of the urban energy transition. In U. Eicker (Ed.), Urban Energy Systems for Low-Carbon Cities (pp. 1-15): Academic Press.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Ekernas, L. S., & Berger, J. (2016). Challenges and opportunities for conserving equid migrations. In J. I. Ransom & P. Kaczensky (Eds.), Wild Equids:  Ecology, Management, and Conservation (pp. 187-195). Baltimore: Johns Hopkins University Press.
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Ellis, E. C., Wang, H., Xiao, H. S., Peng, K., Liu, X. P., Li, S. C., . . . Yang, L. Z. (2006). Measuring long-term ecological changes in densely populated landscapes using current and historical high resolution imagery. Remote Sensing of Environment, 100(4), 457-473. doi:10.1016/j.rse.2005.11.002
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
REMOTE SENSING (IKONOS)

Ellis, P., & Roberts, M. (2015). Leveraging urbanization for greater prosperity and livability. In P. Ellis & M. Roberts (Eds.), Leveraging Urbanization in South Asia: Managing Spatial Transformation for Prosperity and Livability (pp. 21-41). Washington World Bank.
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Elvidge, C. D., Safran, J., Tuttle, B., Sutton, P. C., Cinzano, P., Pettit, D., . . . Small, C. (2007). Potential for global mapping of development via a nightsat mission. GeoJournal, 69(1), 45-53. doi:10.1007/s10708-007-9104-x
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
REMOTE SENSING (DMSP-OLS)

Elyazar, I. R. F., Gething, P. W., Patil, A. P., Rogayah, H., Kusriastuti, R., Wismarini, D. M., . . . Hay, S. I. (2011). Plasmodium falciparum malaria endemicity in Indonesia in 2010. PLoS ONE, 6(6), e21315. doi:10.1371/journal.pone.0021315
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Elyazar, I. R. F., Gething, P. W., Patil, A. P., Rogayah, H., Sariwati, E., Palupi, N. W., . . . Hay, S. I. (2012). Plasmodium vivax malaria endemicity in Indonesia in 2010. PLoS ONE, 7(5), e37325. doi:10.1371/journal.pone.0037325
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Engler, N. J., & Hall, G. B. (2007). The internet, spatial data globalization, and data use: The case of Tibet. Information Society, 23(5), 345-359. doi:10.1080/01972240701572822
China Dimensions (collection)
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Englhardt, J., de Moel, H., Huyck, C. K., de Ruiter, M. C., Aerts, J. C. J. H., & Ward, P. J. (2019). Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas. Natural Hazards and Earth System Sciences, 19(8), 1703-1722. doi:10.5194/nhess-19-1703-2019
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Eppink, F., Brander, L., & Wagtendonk, A. (2014). An initial assessment of the economic value of coastal and freshwater wetlands in west Asia. Land, 3(3), 557-573. doi:10.3390/land3030557
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (MODIS)

Eppler, U., Fritsche, U. R., & Laaks, S. (2015). Urban-Rural Linkages and Global Sustainable Land Use:  GLOBALANDS Issue Paper. Retrieved from Berlin: http://www.iinas.org/tl_files/iinas/downloads/land/IINAS_2015_Urban-Rural_Linkages_Issue_Paper.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points map)

Erdozain, M., Freeman, E. C., Ouellet Dallaire, C., Teichert, S., Nelson, H., & Creed, I. F. (2019). Demand for provisioning ecosystem services as a driver of change in the Canadian boreal zone. Environmental Reviews, 27(2), 166-184. doi:10.1139/er-2018-0064
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Esbah, H. (2013). Urbanization challenges in Turkey:  implications for Aydin, Turkey. In E. A. Cook & J. J. Lara (Eds.), Remaking Metropollis:  Global Challenges of the Urban Landscape (pp. 60-85): Routledge.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

España, G., Grefenstette, J., Perkins, A., Torres, C., Campo Carey, A., Diaz, H., . . . van Panhuis, W. G. (2018). Exploring scenarios of chikungunya mitigation with a data-driven agent-based model of the 2014–2016 outbreak in Colombia. Scientific Reports, 8(1), 12201. doi:10.1038/s41598-018-30647-8
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Esteban, J., Flamand, S., Morelli, M., & Rohner, D. (2018). A Dynamic Theory of Secession. Retrieved from Brighton, UK: http://www.hicn.org/wordpress/wp-content/uploads/2018/10/HICN-WP-276.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Everingham, S. E., Moles, A. T., & Hemmings, F. (2019). Inverted invasions: Native plants can frequently colonise urban and highly disturbed habitats. Austral Ecology, 44(4), 702-712. doi:10.1111/aec.12719
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Faehnle, M., Söderman, T., Schulman, H., & Lehvävirta, S. (2015). Scale-sensitive integration of ecosystem services in urban planning. GeoJournal, 80(3), 411-425. doi:10.1007/s10708-014-9560-z
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Falchetta, G., Noussan, M., & Hammad, A. T. (2021). Comparing paratransit in seven major African cities: An accessibility and network analysis. Journal of Transport Geography, 94, 103131. doi:10.1016/j.jtrangeo.2021.103131
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Fan, C., Myint, S., Kaplan, S., Middel, A., Zheng, B., Rahman, A., . . . Blumberg, D. (2017). Understanding the impact of urbanization on surface urban heat islands—a longitudinal analysis of the oasis effect in subtropical desert cities. Remote Sensing, 9(7), 15pp. doi:10.3390/rs9070672
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)
NASA REMOTE SENSING (ASTER)
REMOTE SENSING (Landsat)

Fan, J., Ma, T., Zhou, C., Zhou, Y., & Xu, T. (2014). Comparative estimation of urban development in China’s cities using socioeconomic and DMSP/OLS night light data. Remote Sensing, 6(8), 7840-7856. doi:10.3390/rs6087840
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)
REMOTE SENSING (DMSP-OLS)

Fan, Y., Zhu, X., He, Z., Zhang, S., Gao, J., Chen, F., . . . Li, J. (2017). Urban expansion assessment in Huaihe River Basin, China, from 1998 to 2013 using remote sensing data. Journal of Sensors, 2017, 10pp. doi:10.1155/2017/9281201
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (SPOT VGT)

Fang, Y., & Jawitz, J. W. (2018). High-resolution reconstruction of the United States human population distribution, 1790 to 2010. Scientific Data, 5, 180067. doi:10.1038/sdata.2018.67
Gridded Population of the World (GPW) v2 (Deichmann, Balk, & Yetman 2001)
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)

Fang, Y., & Jawitz, J. W. (2019). The evolution of human population distance to water in the USA from 1790 to 2010. Nature Communications, 10(1), 430. doi:10.1038/s41467-019-08366-z
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Fasel, M., Bréthaut, C., Rouholahnejad, E., Lacayo-Emery, M. A., & Lehmann, A. (2016). Blue water scarcity in the Black Sea catchment: Identifying key actors in the water-ecosystem-energy-food nexus. Environmental Science & Policy, 66, 140-150. doi:10.1016/j.envsci.2016.09.004
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Fatti, G., Bock, P., Grimwood, A., & Eley, B. (2010). Increased vulnerability of rural children on antiretroviral therapy attending public health facilities in South Africa: a retrospective cohort study. Journal of the International AIDS Society, 13(1), 46. doi:10.1186/1758-2652-13-46
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Fehlenberg, V., Baumann, M., Gasparri, N. I., Piquer-Rodriguez, M., Gavier-Pizarro, G., & Kuemmerle, T. (2017). The role of soybean production as an underlying driver of deforestation in the South American Chaco. Global Environmental Change, 45, 24-34. doi:10.1016/j.gloenvcha.2017.05.001
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Feng, C., Li, R., Shamim, A. A., Ullah, M. B., Li, M., Dev, R., . . . Hao, Y. (2021). High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey. BMC Public Health, 21(1), 342. doi:10.1186/s12889-021-10360-4
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)
Last of the Wild v2 Global Human Influence Index (Geographic)
NASA REMOTE SENSING (MODIS)

Ferré, C., Ferreira, F. H. G., & Lanjouw, P. (2012). Is there a metropolitan bias? The relationship between poverty and city size in a selection of developing countries. The World Bank Economic Review, 26(3), 351-382. doi:10.1093/wber/lhs007
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Ferreira, J., Guevara, M., Baldasano, J. M., Tchepel, O., Schaap, M., Miranda, A. I., & Borrego, C. (2013). A comparative analysis of two highly spatially resolved European atmospheric emission inventories. Atmospheric Environment, 75, 43-57. doi:10.1016/j.atmosenv.2013.03.052
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Filion, A., Sundaram, M., & Stephens, P. R. (2023). Preliminary investigation of Schmalhausen's Law in a directly transmitted pathogen outbreak system. Viruses, 15(2), 310. doi:10.3390/v15020310
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Firestone, S. M., Cogger, N., Ward, M. P., Toribio, J.-A. L. M. L., Moloney, B. J., & Dhand, N. K. (2012). The influence of meteorology on the spread of influenza: Survival analysis of an equine influenza (A/H3N8) outbreak. PLoS ONE, 7(4), e35284. doi:10.1371/journal.pone.0035284
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Fleitas Girett, A., Wassenaar, T., & Pabon-Pereira, C. (2023). Assessing nutrient circularity capacity in South American metropolitan areas. Resources, Conservation and Recycling, 197, 107085. doi:10.1016/j.resconrec.2023.107085
Global Rural-Urban Mapping Project (GRUMP) v1.02 (urban extent polygons)

Florczyk, A. J., Melchiorri, M., Corbane, C., Schiavina, M., Maffenini, M., Pesaresi, M., . . . Zanchetta, L. (2019). Description of the GHS Urban Centre Database 2015,  Public Release 2019, Version 1.0. Retrieved from https://doi.org/10.2760/037310
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points) - 10.7927/H4M906KR
Satellite-Derived Environmental Indicators (Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, v1) - 10.7927/H4ZK5DQS
REMOTE SENSING (ALOS Global Digital Surface Model - ALOS World 3D - 30m (AW3D30))
REMOTE SENSING (Landsat)

Florczyk, A. J., Melchiorri, M., Zeidler, J., Corbane, C., Schiavina, M., Freire, S., . . . Pesaresi, M. (2020). The Generalised Settlement Area: mapping the Earth surface in the vicinity of built-up areas. International Journal of Digital Earth, 13(1), 45-60. doi:10.1080/17538947.2018.1550121
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)
Global High Resolution Urban Data from Landsat (HBASE)
REMOTE SENSING (Landsat)
REMOTE SENSING (Sentinel-1)
REMOTE SENSING (Terra SAR-X (TSX))

Florida, R. (2005). The world is spiky. The Atlantic, 296(3), 48-51. Retrieved from https://www.theatlantic.com/past/docs/images/issues/200510/world-is-spiky.pdf
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Flörke, M., Schneider, C., & McDonald, R. I. (2018). Water competition between cities and agriculture driven by climate change and urban growth. Nature Sustainability, 1(1), 51-58. doi:10.1038/s41893-017-0006-8
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Flückiger, M., & Ludwig, M. (2020). Malaria suitability, urbanization and subnational development in Sub-Saharan Africa. Journal of Urban Economics, 120, 103279. doi:10.1016/j.jue.2020.103279
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (DMSP-OLS)

Foley, D., Wilkerson, R., Birney, I., Harrison, S., Christensen, J., & Rueda, L. (2010). MosquitoMap and the Mal-area calculator: new web tools to relate mosquito species distribution with vector borne disease. International Journal of Health Geographics, 9(1), 11. doi:10.1186/1476-072X-9-11
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Font, A., de Hoogh, K., Leal-Sanchez, M., Ashworth, D. C., Brown, R. J. C., Hansell, A. L., & Fuller, G. W. (2015). Using metal ratios to detect emissions from municipal waste incinerators in ambient air pollution data. Atmospheric Environment, 113, 177-186. doi:10.1016/j.atmosenv.2015.05.002
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Forero-Medina, G., & Joppa, L. N. (2010). Representation of global and national conservation priorities by Colombia's Protected Area Network. PLoS ONE, 5(10), e13210. doi:10.1371/journal.pone.0013210
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Forget, Y., Shimoni, M., Gilbert, M., & Linard, C. (2021). Mapping 20 years of urban expansion in 45 urban areas of Sub-Saharan Africa. Remote Sensing, 13(3), 525. doi:10.3390/rs13030525
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Global High Resolution Urban Data from Landsat (HBASE)
REMOTE SENSING (Landsat)
REMOTE SENSING (Sentinel-1)

Forkel, M., Dorigo, W., Lasslop, G., Teubner, I., Chuvieco, E., & Thonicke, K. (2017). A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1). Geoscientific Model Development, 10(12), 4443-4476. doi:10.5194/gmd-10-4443-2017
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
NASA REMOTE SENSING (GIMMS)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (SOFIA)

Freire Filho, R., & Palmeirim, J. M. (2020). Potential distribution of and priority conservation areas for the Endangered Caatinga howler monkey Alouatta ululata in north-eastern Brazil. Oryx, 54(6), 794-802. doi:10.1017/S0030605318001084
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
NASA REMOTE SENSING (Global 1km Forest Canopy Height)
NASA (Spatial Data Access Tool (SDAT))

Freire, S., Kemper, T., Pesaresi, M., Florczyk, A., & Syrris, V. (2015, 26-31 July 2015). Combining GHSL and GPW to improve global population mapping. Paper presented at the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
Gridded Population of the World (GPW) v3 (population count) - 10.7927/H4639MPP
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Fritz, S., See, L., McCallum, I., Schill, C., Perger, C., & Obersteiner, M. (2011). Building a Crowd-Sourcing Tool for the Validation of Urban Extent and Gridded Population. In B. Murgante, O. Gervasi, A. Iglesias, D. Taniar, & B. Apduhan (Eds.), Computational Science and Its Applications - ICCSA 2011 (Vol. 6783, pp. 39-50): Springer Berlin / Heidelberg.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Fuente, B. d. l., Bertzky, B., Delli, G., Conti, M., Mandrici, A., Florczyk, A. J., . . . Dubois, G. (2020). Built-up areas within and around protected areas: global patterns and 40-year trends. Global Ecology and Conservation, 24, e01291. doi:10.1016/j.gecco.2020.e01291
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Fujita, K., & Shaw, R. (2019). Preparing International Joint Project: use of Japanese flood hazard map in Bangladesh. International Journal of Disaster Risk Management, 1(1), 62-80. doi:10.18485/ijdrm.2019.1.1.4
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) map
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1) (map)

Fung, F., Lopez, A., & New, M. (2011). Water availability in +2°C and +4°C worlds. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1934), 99-116. doi:10.1098/rsta.2010.0293
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Galway, L. P., Bell, N., Al Shatari, S. A., Hagopian, A., Burnham, G., Flaxman, A., . . . Takaro, T. K. (2012). A two-stage cluster sampling method using gridded population data, a GIS, and Google EarthTM imagery in a population-based mortality survey in Iraq. International Journal of Health Geographics, 11(12), 9. doi:10.1186/1476-072X-11-12
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Google Earth)

Gao, J. (2017). Downscaling Global Spatial Population Projections from 1/8-degree to 1-km Grid Cells. Retrieved from Boulder: https://doi.org/10.5065/D60Z721H
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Gao, J., & O’Neill, B. C. (2020). Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways. Nature Communications, 11(1), 2302. doi:10.1038/s41467-020-15788-7
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Gao, J., & O'Neill, B. (2019). Data-driven spatial modeling of long-term urban land development potential for global environmental change impact assessment: The SELECT model. Environmental Modelling & Software, 119, 458-471. doi:10.1016/j.envsoft.2019.06.015
Gridded Population of the World (GPW) v4 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (land and geographic area grids)
Population Dynamics (Global One-Eighth Degree Population Projection Grids for the SSPs, v1)

Gardi, C., Florczyk, A. J., & Scalenghe, R. (2021). Outlook from the soil perspective of urban expansion and food security. Heliyon, 7(1), e05860. doi:10.1016/j.heliyon.2020.e05860
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Gassasse, Z., Smith, D., Finer, S., & Gallo, V. (2017). Association between urbanisation and type 2 diabetes: an ecological study. BMJ Global Health, 2(4), 8pp. doi:10.1136/bmjgh-2017-000473
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Gaughan, A. E., Stevens, F. R., Huang, Z., Nieves, J. J., Sorichetta, A., Lai, S., . . . Tatem, A. J. (2016). Spatiotemporal patterns of population in mainland China, 1990 to 2010. Scientific Data, 3(160005), 11 pp. doi:10.1038/sdata.2016.5
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Landsat)
REMOTE SENSING (DMSP-OLS)

Gaughan, A. E., Stevens, F. R., Linard, C., Jia, P., & Tatem, A. J. (2013). High resolution population distribution maps for Southeast Asia in 2010 and 2015. PLoS ONE, 8(2), e55882. doi:10.1371/journal.pone.0055882
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Gaughan, A. E., Stevens, F. R., Linard, C., Patel, N. N., & Tatem, A. J. (2015). Exploring nationally and regionally defined models for large area population mapping. International Journal of Digital Earth, 8(12), 989-1006. doi:10.1080/17538947.2014.965761
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

Geldmann, J., Coad, L., Barnes, M., Craigie, I. D., Hockings, M., Knights, K., . . . Burgess, N. D. (2015). Changes in protected area management effectiveness over time: A global analysis. Biological Conservation, 191, 692-699. doi:10.1016/j.biocon.2015.08.029
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Geldmann, J., Joppa, L. N., & Burgess, N. D. (2014). Mapping change in human pressure globally on land and within protected areas. Conservation Biology, 28(6), 1604-1616. doi:10.1111/cobi.12332
Anthropogenic Biomes of the World v1
Gridded Population of the World (GPW) v3 (collection)
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Last of the Wild v1 (Global Human Footprint (Geographic))
REMOTE SENSING (DMSP-OLS)

Geng, G., Zhang, Q., Martin, R. V., Lin, J., Huo, H., Zheng, B., . . . He, K. (2017). Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis. Atmospheric Chemistry and Physics, 17(6), 4131-4145. doi:10.5194/acp-17-4131-2017
Gridded Population of the World (GPW) v3 (population count future estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (OMI NO2)
REMOTE SENSING (DMSP-OLS)

Gething, P. W., Elyazar, I. R. F., Moyes, C. L., Smith, D. L., Battle, K. E., Guerra, C. A., . . . Hay, S. I. (2012). A long neglected world malaria map: Plasmodium vivax endemicity in 2010. PLoS Neglected Tropical Diseases, 6(9), e1814. doi:10.1371/journal.pntd.0001814
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Gething, P. W., Kirui, V. C., Alegana, V. A., Okiro, E. A., Noor, A. M., & Snow, R. W. (2010). Estimating the number of paediatric fevers associated with malaria infection presenting to Africa's public health sector in 2007. PLoS Medicine, 7(7), e1000301. doi:10.1371/journal.pmed.1000301
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Gething, P. W., Patil, A. P., & Hay, S. I. (2010). Quantifying Aggregated Uncertainty in Plasmodium falciparum Malaria Prevalence and Populations at Risk via Efficient Space-Time Geostatistical Joint Simulation. PLOS Computational Biology, 6(4), e1000724. doi:10.1371/journal.pcbi.1000724
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Gething, P. W., Patil, A. P., Smith, D. L., Guerra, C. A., Elyazar, I. R. F., Johnston, G. L., . . . Hay, S. I. (2011). A new world malaria map:  Plasmodium falciparum endemicity in 2010. Malaria Journal, 10(378), 16. doi:10.1186/1475-2875-10-378
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (AVHRR)
REMOTE SENSING (MERIS)

Ghosh, T., & Mukhopadhyay, A. (2014). Thermal heat island effect in Bihar. In Natural Hazard Zonation of Bihar (India) Using Geoinformatics:  A Schematic Approach (pp. 45-53): Springer.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Giardina, F., Gosoniu, L., Konate, L., Diouf, M. B., Perry, R., Gaye, O., . . . Vounatsou, P. (2012). Estimating the burden of malaria in Senegal: Bayesian zero-inflated binomial geostatistical modeling of the MIS 2008 data. PLoS ONE, 7(3), e32625. doi:10.1371/journal.pone.0032625
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Gies, L., Agusdinata, D. B., & Merwade, V. (2014). Drought adaptation policy development and assessment in East Africa using hydrologic and system dynamics modeling. Natural Hazards, 1-25. doi:10.1007/s11069-014-1216-2
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Gilbert, M., Xiao, X., Pfeiffer, D. U., Epprecht, M., Boles, S., Czarnecki, C., . . . Slingenbergh, J. (2008). Mapping H5N1 highly pathogenic avian influenza risk in Southeast Asia. Proceedings of the National Academy of Sciences, 105(12), 4769-4774. doi:10.1073/pnas.0710581105
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (MODIS)

Gils, H. C. (2014). Assessment of the theoretical demand response potential in Europe. Energy, 67, 1-18. doi:10.1016/j.energy.2014.02.019
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Gizelis, T.-I., Pickering, S., & Urdal, H. (2021). Conflict on the urban fringe: Urbanization, environmental stress, and urban unrest in Africa. Political Geography, 86, 102357. doi:10.1016/j.polgeo.2021.102357
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Gladson, L. A., Cromar, K. R., Ghazipura, M., Knowland, K. E., Keller, C. A., & Duncan, B. (2022). Communicating respiratory health risk among children using a global air quality index. Environment International, 159, 107023. doi:10.1016/j.envint.2021.107023
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Gleditsch, K. S., & Weidmann, N. B. (2012). Richardson in the Information Age: Geographic Information Systems and Spatial Data in International Studies. Annual Review of Political Science, 15(1), 461-481. doi:10.1146/annurev-polisci-031710-112604
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (DMSP-OLS)

Glennie, P., Bertule, M., De Stefano, L., de Sherbinin, A. M., Green, P., Forslund, A., . . . Seitzinger, S. (2016). Assessment approach and methods. In Transboundary River Basins:  Status and Trends (pp. 11-21). Nairobi: United Nations Environment Programme.
Gridded Population of the World (GPW) v3 (population count) - 10.7927/H4639MPP
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Global Mechanism of the UNCCD. (2018). Country Profile of Thailand.  Investing in Land Degradation Neutrality: Making the Case.  An Overview of Indicators and Assessments. Retrieved from Bonn: https://www.unccd.int/sites/default/files/inline-files/Thailand_2.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Goldblatt, R., You, W., Hanson, G., & Khandelwal, A. (2016). Detecting the boundaries of urban areas in India: A dataset for pixel-based image classification in Google Earth Engine. Remote Sensing, 8(8), 28 pp. doi:10.3390/rs8080634
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (Landsat)

Gong, P., Li, X., Wang, J., Bai, Y., Chen, B., Hu, T., . . . Zhou, Y. (2020). Annual maps of global artificial impervious area (GAIA) between 1985 and 2018. Remote Sensing of Environment, 236, 111510. doi:10.1016/j.rse.2019.111510
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
REMOTE SENSING (Landsat via Google Earth Engine)
REMOTE SENSING (Sentinel-1 SAR)
REMOTE SENSING (VIIRS)

González, B. A., Samaniego, H., Marín, J. C., & Estades, C. F. (2013). Unveiling current guanaco distribution in Chile based upon niche structure of phylogeographic lineages: Andean Puna to subpolar forests. PLoS ONE, 8(11), e78894. doi:10.1371/journal.pone.0078894
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS EVI)
NASA REMOTE SENSING (SRTM)

González-Roglich, M., Swenson, J. J., Villarreal, D., Jobbágy, E. G., & Jackson, R. B. (2015). Woody plant-cover dynamics in Argentine savannas from the 1880s to 2000s: The interplay of encroachment and agriculture conversion at varying scales. Ecosystems, 18(3), 481-492. doi:10.1007/s10021-015-9841-5
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Gorokhovich, Y., & Doocy, S. (2008). Estimating population risk for coastal disasters using spatial models with global data. Paper presented at the Solutions to Coastal Disasters 2008, Oahu, Hawaii.
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Goudie, A., & Seely, N. (2011). World Heritage Desert Landscapes: Potential Priorities for the Recognition of Desert Landscapes and Geomorphological Sites on the World Heritage List. Gland, Switzerland: IUCN.
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Graw, V., & Husmann, C. (2014). Mapping Marginality Hotspots. In J. von Braun & F. W. Gatzweiler (Eds.), Marginality (pp. 69-83): Springer Netherlands.
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Green, P. A., Vörösmarty, C. J., Harrison, I., Farrell, T., Sáenz, L., & Fekete, B. M. (2015). Freshwater ecosystem services supporting humans: Pivoting from water crisis to water solutions. Global Environmental Change, 34, 108-118. doi:10.1016/j.gloenvcha.2015.06.007
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Greenspan, E., Montgomery, C., Stokes, D., Wantai, S., & Moo, S. S. B. (2021). Large felid habitat connectivity in the transboundary Dawna-Tanintharyi landscape of Myanmar and Thailand. Landscape Ecology, 36, 3187-3205. doi:10.1007/s10980-021-01316-5
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Griffin, J. T., Bhatt, S., Sinka, M. E., Gething, P. W., Lynch, M., Patouillard, E., . . . Ghani, A. C. (2016). Potential for reduction of burden and local elimination of malaria by reducing Plasmodium falciparum malaria transmission: a mathematical modelling study. The Lancet Infectious Diseases, 16(4), 465-472. doi:10.1016/S1473-3099(15)00423-5
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Gritten, D., Mola-Yudego, B., Delgado-Matas, C., & Kortelainen, J. (2013). A quantitative review of the representation of forest conflicts across the world: Resource periphery and emerging patterns. Forest Policy and Economics, 33, 11-20. doi:10.1016/j.forpol.2012.06.008
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)

Group on Earth Observations. (2010). Crafting Geoinformation: GEO Secretariat.
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Gu, D. (2019). Exposure and vulnerability to natural disasters for world's cities. Retrieved from https://www.un.org/en/development/desa/population/publications/pdf/technical/TP2019-4.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Guan, X., Huang, J., Zhang, Y., Xie, Y., & Liu, J. (2016). The relationship between anthropogenic dust and population over global semi-arid regions. Atmospheric Chemistry and Physics, 16, 5159-5169. doi:10.5194/acp-16-5159-2016
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (CALIOP Lidar)
NASA REMOTE SENSING (MODIS - MCD12Q1)

Gudipudi, R., Fluschnik, T., Ros, A. G. C., Walther, C., & Kropp, J. P. (2016). City density and CO2 efficiency. Energy Policy, 91, 352-361. doi:10.1016/j.enpol.2016.01.015
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Gudipudi, V. R. (2017). Cities and Global Sustainability: Insights From Emission and Ecological Efficiency. (Dr. Rer. nat.). The University of Potsdam, Potsdam, Germany. Retrieved from http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-407113 (urn:nbn:de:kobv:517-opus4-407113)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Gueguen, L., Koenig, J., Reeder, C., Barksdale, T., Saints, J., Stamatiou, K., . . . Johnston, C. (2017). Mapping human settlements and population at country scale from VHR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(2), 524-538. doi:10.1109/JSTARS.2016.2616120
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)
REMOTE SENSING (GeoEye-1)
REMOTE SENSING (Quickbird)
REMOTE SENSING (WorldView-2)
REMOTE SENSING (WorldView-3)

Guerois, M., Bretagnolle, A., Giraud, T., & Mathian, H. (2012). A new database for the cities of Europe? Exploration of the urban Morphological Zones (CLC2000) from three national database comparisons (Denmark, France, Sweden). Environment and Planning B: Planning and Design, 39(3), 439-458. doi:10.1068/b37162
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Guerra, C. A., Gikandi, P. W., Tatem, A. J., Noor, A. M., Smith, D. L., Hay, S. I., & Snow, R. W. (2008). The limits and intensity of Plasmodium falciparum transmission: Implications for malaria control and elimination worldwide. PLoS Medicine, 5(2), e38. doi:10.1371/journal.pmed.0050038
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (MODIS)

Guerra, C. A., Howes, R. E., Patil, A. P., Gething, P. W., Van Boeckel, T. P., Temperley, W. H., . . . Hay, S. I. (2010). The international limits and population at risk of Plasmodium vivax transmission in 2009. PLoS Neglected Tropical Diseases, 4(8), e774. doi:10.1371/journal.pntd.0000774
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Guerra, C. A., Snow, R. W., & Hay, S. I. (2006). A global assessment of closed forests, deforestation and malaria risk. Annals of Tropical Medicine & Parasitology, 100(3), 189-204. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3204444/
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Guerra, C. A., Snow, R. W., & Hay, S. I. (2006). Mapping the global extent of malaria in 2005. Trends in Parasitology, 22(8), 353-358. doi:10.1016/j.pt.2006.06.006
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Gumma, M., Birhanu, B., Mohammed, I., Tabo, R., & Whitbread, A. (2016). Prioritization of watersheds across Mali using remote sensing data and GIS techniques for agricultural development planning. Water, 8(6), 17 pp. doi:10.3390/w8060260
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (SRTM)
NASA REMOTE SENSING (TRMM)
REMOTE SENSING (Landsat ETM+)

Gunasekera, R., Ishizawa, O., Aubrecht, C., Blankespoor, B., Murray, S., Pomonis, A., & Daniell, J. (2015). Developing an adaptive global exposure model to support the generation of country disaster risk profiles. Earth-Science Reviews, 150, 594-608. doi:10.1016/j.earscirev.2015.08.012
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Last of the Wild v2 (Human Influence Index (Geographic)) - 10.7927/H4BP00QC

Güneralp, B., & Seto, K. C. (2013). Futures of global urban expansion: uncertainties and implications for biodiversity conservation. Environmental Research Letters, 8(1), 014025. doi:10.1088/1748-9326/8/1/014025
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Guttikunda, S. K., & Calori, G. (2013). A GIS based emissions inventory at 1km x 1km spatial resolution for air pollution analysis in Delhi, India. Atmospheric Environment, 67, 101-111. doi:10.1016/j.atmosenv.2012.10.040
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Guttikunda, S. K., & Goel, R. (2013). Health impacts of particulate pollution in a megacity - Delhi, India. Environmental Development, 6(1), 8-20. doi:10.1016/j.envdev.2012.12.002
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Guttikunda, S. K., Goel, R., Mohan, D., Tiwari, G., & Gadepalli, R. (2015). Particulate and gaseous emissions in two coastal cities—Chennai and Vishakhapatnam, India. Air Quality, Atmosphere & Health, 8(6), 559-572. doi:10.1007/s11869-014-0303-6
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Guttikunda, S. K., & Jawahar, P. (2012). Application of SIM-air modeling tools to assess air quality in Indian cities. Atmospheric Environment, 62, 551-561. doi:10.1016/j.atmosenv.2012.08.074
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Guttikunda, S. K., & Jawahar, P. (2014). Atmospheric emissions and pollution from the coal-fired thermal power plants in India. Atmospheric Environment, 92, 449-460. doi:10.1016/j.atmosenv.2014.04.057
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Guttikunda, S. K., & Jawahar, P. (2018). Evaluation of particulate pollution and health impacts from planned expansion of coal-fired thermal power plants in India using WRF-CAMx modeling system. Aerosol and Air Quality Research, 18(12), 3187-3202. doi:10.4209/aaqr.2018.04.0134
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Guttikunda, S. K., & Kopakka, R. V. (2014). Source emissions and health impacts of urban air pollution in Hyderabad, India. Air Quality, Atmosphere & Health, 7(2), 195-207. doi:10.1007/s11869-013-0221-z
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Guttikunda, S. K., Lodoysamba, S., Bulgansaikhan, B., & Dashdondog, B. (2013). Particulate pollution in Ulaanbaatar, Mongolia. Air Quality, Atmosphere & Health, 1-13. doi:10.1007/s11869-013-0198-7
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Guttikunda, S. K., Nishadh, K. A., & Jawahar, P. (2019). Air pollution knowledge assessments (APnA) for 20 Indian cities. Urban Climate, 27, 124-141. doi:10.1016/j.uclim.2018.11.005
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Habibi, S., Obonyo, E., & Memari, A. M. (2023). Advancing the use of bamboo as a building material in low-income housing projects in Kenya. In F. L. Palombini & F. M. Nogueira (Eds.), Bamboo and Sustainable Construction (pp. 133-155). Singapore: Springer Nature Singapore.
Global Rural-Urban Mapping Project (GRUMP) v1 (maps)

Hachadoorian, L., Gaffin, S. R., & Engelman, R. (2011). Projecting a Gridded Population of the World Using Ratio Methods of Trend Extrapolation. In R. P. Cincotta & L. J. Gorenflo (Eds.), Human Population (Vol. 1650, pp. 13-25). Berlin Heidelberg: Springer.
Gridded Population of the World (GPW) v2
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Haer, T., Kalnay, E., Kearney, M., & Moll, H. (2013). Relative sea-level rise and the conterminous United States: Consequences of potential land inundation in terms of population at risk and GDP loss. Global Environmental Change, 23(6), 1627-1636. doi:10.1016/j.gloenvcha.2013.09.005
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Haer, T., Wouter Botzen, W. J., Zavala-Hidalgo, J., Cusell, C., & Ward, P. J. (2017). Economic evaluation of climate risk adaptation strategies: Cost-benefit analysis of flood protection in Tabasco, Mexico. Atmósfera, 30(2), 101-120. doi:10.20937/ATM.2017.30.02.03
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Hagen, R., Makovi, K., & Bearman, P. (2013). The influence of political dynamics on southern lynch mob formation and lethality. Social Forces, 92(2), 757-787. doi:10.1093/sf/sot093
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Haidari, L. A., Brown, S. T., Constenla, D., Zenkov, E., Ferguson, M., de Broucker, G., . . . Lee, B. Y. (2016). The economic value of increasing geospatial access to tetanus toxoid immunization in Mozambique. Vaccine, 34(35), 4161-4165. doi:10.1016/j.vaccine.2016.06.065
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Haidari, L. A., Brown, S. T., Constenla, D., Zenkov, E., Ferguson, M., de Broucker, G., . . . Lee, B. Y. (2017). Geospatial planning and the resulting economic impact of human papillomavirus vaccine introduction in Mozambique. Sexually Transmitted Diseases, 44(4), 222-226. doi:10.1097/olq.0000000000000574
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Hall, O. (2010). Remote Sensing in Social Science Research. The Open Remote Sensing Journal, 3, 1-16. doi:10.2174/1875413901003010001
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Hanlon, M., Burstein, R., Masters, S., & Zhang, R. (2012). Exploring the relationship between population density and maternal health coverage. BMC Health Services Research, 12(1), 416. doi:10.1186/1472-6963-12-416
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Hannah, L., Ikegami, M., Hole, D. G., Seo, C., Butchart, S. H. M., Peterson, A. T., & Roehrdanz, P. R. (2013). Global climate change adaptation priorities for biodiversity and food security. PLoS ONE, 8(8), e72590. doi:10.1371/journal.pone.0072590
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Hanson, J. O., Rhodes, J. R., Possingham, H. P., & Fuller, R. A. (2018). raptr: Representative and Adequate Prioritization Toolkit in R. Methods in Ecology and Evolution, 9(2), 320-330. doi:10.1111/2041-210X.12862
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Hanson, J. O., Rhodes, J. R., Riginos, C., & Fuller, R. A. (2017). Environmental and geographic variables are effective surrogates for genetic variation in conservation planning. Proceedings of the National Academy of Sciences, 114(48), 12755-12760. doi:10.1073/pnas.1711009114
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Harbitz, C. B., Glimsdal, S., Bazin, S., Zamora, N., Løvholt, F., Bungum, H., . . . Kjekstad, O. (2012). Tsunami hazard in the Caribbean: Regional exposure derived from credible worst case scenarios. Continental Shelf Research, 38, 1-23. doi:10.1016/j.csr.2012.02.006
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Harborne, A. R., Green, A. L., Peterson, N. A., Beger, M., Golbuu, Y., Houk, P., . . . Mumby, P. J. (2018). Modelling and mapping regional-scale patterns of fishing impact and fish stocks to support coral-reef management in Micronesia. Diversity and Distributions, 24(12), 1729-1743. doi:10.1111/ddi.12814
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Harmanny, K. S., & Malek, Ž. (2019). Adaptations in irrigated agriculture in the Mediterranean region: an overview and spatial analysis of implemented strategies. Regional Environmental Change, 19(5), 1401-1416. doi:10.1007/s10113-019-01494-8
Gridded Population of the World (GPW) v4 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Haruna, A., Pfaff, A., van den Ende, S., & Joppa, L. N. (2014). Evolving protected-area impacts in Panama: impact shifts show that plans require anticipation. Environmental Research Letters, 9(3), 035007. doi:10.1088/1748-9326/9/3/035007
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (Landsat ETM)
NASA REMOTE SENSING (ASTER)
NASA REMOTE SENSING (SRTM)

Hastings, J. T. (2008). Automated conflation of digital gazetteer data. International Journal of Geographical Information Science, 22(10), 1109 - 1127. doi:10.1080/13658810701851453
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Hausfather, Z., Menne, M. J., Williams, C. N., Masters, T., Broberg, R., & Jones, D. (2013). Quantifying the effect of urbanization on U.S. Historical Climatology Network temperature records. Journal of Geophysical Research: Atmospheres, 118(2), 481-494. doi:10.1029/2012jd018509
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Hay, S. I., Guerra, C. A., Gething, P. W., Patil, A. P., Tatem, A. J., Noor, A. M., . . . Snow, R. W. (2009). A world malaria map: Plasmodium falciparum endemicity in 2007. PLoS Medicine, 6(3), e1000048. doi:10.1371/journal.pmed.1000048
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Hay, S. I., Guerra, C. A., Tatem, A. J., Atkinson, P. M., & Snow, R. W. (2005). Tropical infectious diseases: Urbanization, malaria transmission and disease burden in Africa. Nature Reviews Microbiology, 3(1), 81-90. doi:10.1038/nrmicro1069
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Hay, S. I., Okiro, E. A., Gething, P. W., Patil, A. P., Tatem, A. J., Guerra, C. A., & Snow, R. W. (2010). Estimating the global clinical burden of Plasmodium falciparum malaria in 2007. PLoS Medicine, 7(6), e1000290. doi:10.1371/journal.pmed.1000290
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Hay, S. I., & Snow, R. W. (2006). The Malaria Atlas Project: Developing global maps of malaria risk. PLoS Medicine, 3(12), e473. doi:10.1371/journal.pmed.0030473
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Hay, S. I., & Tatem, A. J. (2005). Remote sensing of malaria in urban areas: Two scales, two problems. American Journal of Tropical Medicine and Hygiene, 72(6), 655-656. doi:10.4269/ajtmh.2005.72.655
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Hayes, P., & Tanter, R. (2015). Global problems, complexity, and civil society in East Asia. In P. Hayes & K. Yi (Eds.), Complexity, Security and Civil Society in East Asia. Foreign Policies and the Korean Peninsula (pp. 14-84). Cambridge, UK: Open Book Publishers.
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points) 

Hazell, P., & Wood, S. (2008). Drivers of change in global agriculture. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1491), 495-515. doi:10.1098/rstb.2007.2166
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Headey, D., Bezemer, D., & Hazell, P. B. (2010). Agricultural Employment Trends in Asia and Africa: Too Fast or Too Slow? World Bank Research Observer, 25(1), 57-89. doi:10.1093/wbro/lkp028
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Headey, D., Taffesse, A. S., & You, L. (2014). Diversification and development in pastoralist Ethiopia. World Development, 56, 200-213. doi:10.1016/j.worlddev.2013.10.015
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Headey, D. D., & Palloni, G. (2018). Water, sanitation and child health: Evidence from subnational panel data in 59 countries. Retrieved from Washington DC: http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/132796
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Heger, M. P., & Neumayer, E. (2019). The impact of the Indian Ocean tsunami on Aceh's long-term economic growth. Journal of Development Economics, 141, 102365. doi:10.1016/j.jdeveco.2019.06.008
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Henderson, J. V., Storeygard, A., & Weil, D. N. (2012). Measuring economic growth from outer space. American Economic Review, 102(2), 994-1028. doi:10.1257/aer.102.2.994
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (Land and Geographic Area Grids)
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)
REMOTE SENSING (DMSP-OLS)

Herrero, M., Notenbaert, A., Thornton, P., Pfeifer, C., Silvestri, S., Omolo, A., & Quiros, C. (2014). A framework for targeting and scaling-out interventions in agricultural systems. Retrieved from Copenhagen: http://hdl.handle.net/10568/34817
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Herrero, M., Thornton, P. K., Kruska, R., & Reid, R. S. (2008). Systems dynamics and the spatial distribution of methane emissions from African domestic ruminants to 2030. Agriculture, Ecosystems & Environment, 126(1-2), 122-137. doi:10.1016/j.agee.2008.01.017 
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Hichaambwa, M., & Jayne, T. S. (2012). Smallholder Commercialization Trends as Afected by Land Constraints in Zambia:  What are the Policy Implications? Retrieved from Lusaka, Zambia: http://www.aec.msu.edu/fs2/zambia/wp61.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Hill, R. L., & Curtin, K. M. (2011). Solar powered light emitting diode distribution in developing countries: An assessment of potential distribution sites in rural Cambodia using network analyses. Socio-Economic Planning Sciences, 45(1), 48-57. doi:10.1016/j.seps.2010.08.001
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Hillson, R., Alejandre, J. D., Jacobsen, K. H., Ansumana, R., Bockarie, A. S., Bangura, U., . . . Stenger, D. A. (2014). Methods for determining the uncertainty of population estimates derived from satellite imagery and limited survey data: A case study of Bo City, Sierra Leone. PLoS ONE, 9(11), e112241. doi:10.1371/journal.pone.0112241
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (WorldView-1)

Hinkel, J., Lincke, D., Vafeidis, A. T., Perrette, M., Nicholls, R. J., Tol, R. S. J., . . . Levermann, A. (2014). Coastal flood damage and adaptation costs under 21st century sea-level rise. Proceedings of the National Academy of Sciences, 111(9), 3292-3297. doi:10.1073/pnas.1222469111
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Hochard, J., & Barbier, E. (2017). Market accessibility and economic growth: Insights from a new dimension of inequality. World Development, 97, 279-297. doi:10.1016/j.worlddev.2017.04.018
Gridded Population of the World (GPW) v3 (admin boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Hodges, M. H., Soares Magalhães, R. J., Paye, J., Koroma, J. B., Sonnie, M., Clements, A., & Zhang, Y. (2012). Combined spatial prediction of schistosomiasis and soil-transmitted helminthiasis in Sierra Leone: A tool for integrated disease control. PLoS Neglected Tropical Diseases, 6(6), e1694. doi:10.1371/journal.pntd.0001694
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
NASA REMOTE SENSING (SRTM)

Hodler, R., & Raschky, P. A. (2014). Regional favoritism. The Quarterly Journal of Economics, 129(2), 995-1033. doi:10.1093/qje/qju004
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
REMOTE SENSING (DMSP-OLS)

Hogan, B., Moch-Mooney, D., Morin, E., Welch, M., & Wojcik, L. A. (2017). Quantifying safety risk to aircraft from small unmanned free balloons and other airspace vehicles. Paper presented at the 17th AIAA Aviation Technology, Integration, and Operations Conference, Denver. https://doi.org/10.2514/6.2017-4492
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Homann-Kee Tui, S., Bandason, E., Maute, F., Nkomboni, D., Mpofu, N., Tanganyika, J., . . . Nisrane, F. (2013). Optimizing Livelihood and Environmental Benefits from Crop Residues in Smallholder Crop-Livestock Systems in Southern Africa. Retrieved from http://oar.icrisat.org/7277/1/S_Homann-Kee_Tui_et_al_2013_ISEDPS_11.pdf
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Homann-Kee Tui, S., Blümmel, M., Valbuena, D., Chirima, A., Masikati, P., van Rooyen, A. F., & Kassie, G. T. (2013). Assessing the potential of dual-purpose maize in southern Africa: A multi-level approach. Field Crops Research, 153, 37-51. doi:10.1016/j.fcr.2013.07.002
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Hooke, R. L., & Martin-Duque, J. F. (2012). Land transformation by humans:  a review. GSA Today, 22(12), 4-10. doi:10.1130/GSAT151A.1
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Horscroft, V. (2014). Public Sectors in the Pacific Islands: Are They 'too big' and do They 'crowd out' the private sector? Retrieved from Washington DC: http://hdl.handle.net/10986/20615
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)

Howes, R. E., Battle, K. E., Mendis, K. N., Smith, D. L., Cibulskis, R. E., Baird, J. K., & Hay, S. I. (2016). Global epidemiology of Plasmodium vivax. The American Journal of Tropical Medicine and Hygiene, 95(6), 15-34. doi:10.4269/ajtmh.16-0141
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Howes, R. E., Piel, F. B., Patil, A. P., Nyangiri, O. A., Gething, P. W., Dewi, M., . . . Hay, S. I. (2012). G6PD deficiency prevalence and estimates of affected populations in malaria endemic countries: A geostatistical model-based map. PLoS Medicine, 9(11), e1001339. doi:10.1371/journal.pmed.1001339
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Huang, X., Hu, T., Li, J., Wang, Q., & Benediktsson, J. A. (2018). Mapping urban areas in China using multisource data with a novel ensemble SVM method. IEEE Transactions on Geoscience and Remote Sensing, 56(8), 4258-4273. doi:10.1109/TGRS.2018.2805829
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Huang, X., Huang, J., Wen, D., & Li, J. (2021). An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach. International Journal of Applied Earth Observation and Geoinformation, 95, 102255. doi:10.1016/j.jag.2020.102255
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)

Huang, X., Schneider, A., & Friedl, M. A. (2016). Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights. Remote Sensing of Environment, 175, 92-108. doi:10.1016/j.rse.2015.12.042
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (Landsat)

Huang, X., Wang, C., & Li, Z. (2019). High-resolution population grid in the CONUs using Microsoft building footprints: A feasibility study. Paper presented at the GeoHumanities '19, Chicago. https://www.researchgate.net/profile/Xiao_Huang35/publication/336218849_High-Resolution_Population_Grid_in_the_CONUS_Using_Microsoft_Building_Footprints_A_Feasibility_Study/links/5d966015458515c1d391b4df/High-Resolution-Population-Grid-in-the-CONUS-Using-Microsoft-Building-Footprints-A-Feasibility-Study.pdf
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Huang, X., Wang, C., Li, Z., & Ning, H. (2021). A 100 m population grid in the CONUS by disaggregating census data with open-source microsoft building footprints. Big Earth Data, 5(1), 112-133. doi:10.1080/20964471.2020.1776200
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
POPGRID

Hunter, L. M., & O’Neill, B. C. (2014). Enhancing engagement between the population, environment, and climate research communities: the shared socio-economic pathway process. Population and Environment, 35(3), 231-242. doi:10.1007/s11111-014-0202-7
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Hunziker, P., & Cederman, L.-E. (2017). No extraction without representation: The ethno-regional oil curse and secessionist conflict. Journal of Peace Research, 54(3), 365-381. doi:10.1177/0022343316687365
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Hüsig, S. (2013). The disruptive potential of PWLAN at the country-level: The cases of Germany, the UK, and the USA. Telecommunications Policy, 37(11), 1060-1070. doi:10.1016/j.telpol.2013.02.001
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Hutchison, J., Philipp, D. P., Claussen, J. E., Aburto-Oropeza, O., Carrasquilla-Henao, M., Castellanos-Galindo, G. A., . . . Spalding, M. (2015). Building an expert-judgment-based model of mangrove fisheries. In K. J. Murchie & P. P. Daneshgar (Eds.), Mangroves as Fish Habitat (pp. 17-42): American Fisheries Society.
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Hutchison, W., Mather, T. A., Pyle, D. M., Biggs, J., & Yirgu, G. (2015). Structural controls on fluid pathways in an active rift system: A case study of the Aluto volcanic complex. Geosphere, 11(3), 542-562. doi:10.1130/ges01119.1
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Huyck, C., Hu, Z., Amyx, P., Esquivias, G., Huyck, M., & Eguchi, M. (2019). METEOR: Exposure Data Classification, Metadata Population and Confidence Assessment. Report M3.2/P. Retrieved from https://nora.nerc.ac.uk/id/eprint/533436/1/OR22024.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
POPGRID

Huyck, C. K., Hu, Z. Z., Eguchi, M., Esquivias, G., Amyx, P., Smith, K., & Jordan, C. (2022). Characterizing uncertainty of general building stock exposure data. Earthquake Spectra, 38(3), 2008-2025. doi:10.1177/87552930221079852
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Ickowitz, A., Powell, B., Salim, M. A., & Sunderland, T. C. H. (2014). Dietary quality and tree cover in Africa. Global Environmental Change, 24, 287-294. doi:10.1016/j.gloenvcha.2013.12.001
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (MODIS)

IImi, A., You, L., Wood-Sichra, U., & Humphrey, R. M. (2015). Agriculture Production and Transport Infrastructure in East Africa: An Application of Spatial Autoregression. Retrieved from Washington DC: http://documents.worldbank.org/curated/en/2015/06/24574272/agriculture-production-transport-infrastructure-east-africa-application-spatial-autoregression
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Im, E.-S., Pal, J. S., & Eltahir, E. A. B. (2017). Deadly heat waves projected in the densely populated agricultural regions of South Asia. Science Advances, 3(8), 7pp. doi:10.1126/sciadv.1603322
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Imbach, P., Locatelli, B., Zamora, J. C., Fung, E., Calderer, L., Molina, L., & Ciais, P. (2015). Impacts of climate change on ecosystem hydrological services of Central America: Water availability. In A. Chiabal (Ed.), Climate Change Impacts on Tropical Forests in Central America: An Ecosystem Service Perspective: Taylor & Francis.
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Ingram, D. J., Coad, L., Abernethy, K. A., Maisels, F., Stokes, E. J., Bobo, K. S., . . . Scharlemann, J. P. W. (2018). Assessing Africa-wide pangolin exploitation by scaling local data. Conservation Letters, 11(2), e12389. doi:10.1111/conl.12389
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Institute, W. R. (2018). Global Forest Watch. Retrieved from https://www.globalforestwatch.org/map
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (Landsat)
REMOTE SENSING (VIIRS)

Irvine, P. J., Ridgwell, A., & Lunt, D. J. (2011). Climatic effects of surface albedo geoengineering. Journal of Geophysical Research: Atmospheres, 116(D24), D24112. doi:10.1029/2011jd016281
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Islam, M. K., Hassan, N. M. S., Rasul, M. G., Emami, K., & Chowdhury, A. A. (2022). Assessment of solar and wind energy potential in Far North Queensland, Australia. Energy Reports, 8, 557-564. doi:10.1016/j.egyr.2022.10.134
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF

Jaacks, L. M., Slining, M. M., & Popkin, B. M. (2015). Recent underweight and overweight trends by rural–urban residence among women in low- and middle-income countries. The Journal of Nutrition, 145(2), 352-357. doi:10.3945/jn.114.203562
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Jackson, T. L., Feddema, J. J., Oleson, K. W., Bonan, G. B., & Bauer, J. T. (2010). Parameterization of urban characteristics for global climate modeling. Annals of the American Association of Geographers, 100(4), 848 - 865. doi:10.1080/00045608.2010.497328
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Jaiswal, K. S., Wald, D. J., Earle, P. S., Porter, K. A., & Hearne, M. (2011). Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) System. In R. Spence, E. So, & C. Scawthorn (Eds.), Human Casualties in Earthquakes (Vol. 29, pp. 83-94): Springer Netherlands.
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Jansen, J., & Hobohm, C. (2021). Urban Habitats: Cities and Their Potential for Nature Protection. In C. Hobohm (Ed.), Perspectives for Biodiversity and Ecosystems (pp. 425-447). Cham: Springer International Publishing.
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Janssens-Maenhout, G., Dentener, F., Van Aardenne, J., Monni, S., Pagliari, V., Oralndini, L., . . . Keating, T. (2012). EDGAR-HTAP: a harmonized gridded air pollution emission dataset based on national inventories. Retrieved from Ispra: http://edgar.jrc.ec.europa.eu/htap/EDGAR-HTAP_v1_final_jan2012.pdf
http://edgar.jrc.ec.europa.eu/national_reported_data/htap.php
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Jayaprakasam, M., Chatterjee, N., Chanda, M. M., Shahabuddin, S. M., Singhai, M., Tiwari, S., & Panda, S. (2023). Human anthrax in India in recent times: A systematic review & risk mapping. One Health, 16, 100564. doi:10.1016/j.onehlt.2023.100564
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006 - pop density)
NASA REMOTE SENSING (MODIS)

Jayne, T., & Muyanga, M. (2012). Land constraints in Kenya’s densely populated rural areas: implications for food policy and institutional reform. Food Security, 4(3), 399-421. doi:10.1007/s12571-012-0174-3
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Jayne, T. S., Chamberlin, J., & Headey, D. D. (2014). Land pressures, the evolution of farming systems, and development strategies in Africa: A synthesis. Food Policy, 48, 1-17. doi:10.1016/j.foodpol.2014.05.014
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353(6301), 790-794. doi:10.1126/science.aaf7894
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
REMOTE SENSING (DMSP-OLS)

Jedwab, R., Barr, J., & Brueckner, J. K. (2020). Cities Without Skylines: Worldwide Building-Height Gaps and Their Implications. Retrieved from https://ssrn.com/abstract=3682010
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Jedwab, R., Pereira, D., & Roberts, M. (2019). Cities of Workers, Children or Seniors? Age Structure and Economic Growth in a Global Cross-Section of Cities. Retrieved from Washington DC: https://iiep.gwu.edu/2019/08/31/cities-of-workers-children-or-seniors-age-structure-and-economic-growth-in-a-global-cross-section-of-cities/
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)
REMOTE SENSING (DMSP-OLS)

Jedwab, R., Pereira, D., & Roberts, M. (2021). Cities of workers, children or seniors? Stylized facts and possible implications for growth in a global sample of cities. Regional Science and Urban Economics, 87, 103610. doi:10.1016/j.regsciurbeco.2020.103610
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Jevrejeva, S., Jackson, L. P., Grinsted, A., Lincke, D., & Marzeion, B. (2018). Flood damage costs under the sea level rise with warming of 1.5 °C and 2 °C. Environmental Research Letters, 13(7), 074014. doi:10.1088/1748-9326/aacc76
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Jia, P., Anderson, J. D., Leitner, M., & Rheingans, R. (2016). High-resolution spatial distribution and estimation of access to improved sanitation in Kenya. PLoS ONE, 11(7), e0158490. doi:10.1371/journal.pone.0158490
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Jia, P., & Gaughan, A. E. (2016). Dasymetric modeling: A hybrid approach using land cover and tax parcel data for mapping population in Alachua County, Florida. Applied Geography, 66, 100-108. doi:10.1016/j.apgeog.2015.11.006
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Jia, P., & Joyner, A. (2015). Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach. BMC Infectious Diseases, 15(36). doi:10.1186/s12879-015-0763-9
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS EVI)

Jia, P., Qiu, Y., & Gaughan, A. E. (2014). A fine-scale spatial population distribution on the High-resolution Gridded Population Surface and application in Alachua County, Florida. Applied Geography, 50, 99-107. doi:10.1016/j.apgeog.2014.02.009
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Jia, P., Sankoh, O., & Tatem, A. J. (2015). Mapping the environmental and socioeconomic coverage of the INDEPTH international health and demographic surveillance system network. Health & Place, 36, 88-96. doi:10.1016/j.healthplace.2015.09.009
Global Rural-Urban Mapping Project (GRUMP) beta (population density)
NASA REMOTE SENSING (MODIS)

Jiang, H., Sun, Z., Guo, H., Weng, Q., Du, W., Xing, Q., & Cai, G. (2021). An assessment of urbanization sustainability in China between 1990 and 2015 using land use efficiency indicators. npj Urban Sustainability, 1(1), 34. doi:10.1038/s42949-021-00032-y
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Jiang, H., Sun, Z., Guo, H., Xing, Q., Du, W., & Cai, G. (2022). A standardized dataset of built-up areas of China’s cities with populations over 300,000 for the period 1990–2015. Big Earth Data, 6(1), 103-126. doi:10.1080/20964471.2021.1950351
Global Rural-Urban Mapping Project (GRUMP) v1.02 (urban extent)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (Landsat)
REMOTE SENSING (Sentinel-1 SAR)

Jiang, Y. (2020). Spatial Dynamics and Driving Forces of Asian Cities. Retrieved from https://doi.org/10.22617/WPS200220-2
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS)

Jiang, Y. (2021). Asian cities: spatial dynamics and driving forces. The Annals of Regional Science, 66, 608-654. doi:10.1007/s00168-020-01031-0
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS NTL)

Johnson, A., & Arrowsmith, C. (2014). Techniques for analysing the relationship between population density and geographical features of interest. Paper presented at the Geospatial Science Research 3 Symposium, Melbourne, Australia.
Gridded Population of the World (GPW) v3 (population count)
Gridded Population of the World (GPW) v3 (population density)
Gridded Population of the World (GPW) v3 (land and geographic unit area grids)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Johnson, M., Benin, S., You, L., Diao, X., Chilonda, P., & Kennedy, A. (2014). Exploring Strategic Priorities for Regional Agricultural Research and Development Investments in Southern Africa. Retrieved from Washington DC: http://www.ifpri.org/sites/default/files/publications/ifpridp01318.pdf
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Johnson, T. R., & Vollrath, D. (2020). The role of land in temperate and tropical agriculture. Economica, 87(348), 901-937. doi:10.1111/ecca.12335
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (DMSP-OLS)

Jones, B. (2014). Assessment of a gravity-based approach to constructing future spatial population scenarios. Journal of Population Research, 31(1), 71-95. doi:10.1007/s12546-013-9122-0
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Jones, B., & O’Neill, B. C. (2013). Historically grounded spatial population projections for the continental United States. Environmental Research Letters, 8(4), 044021. doi:10.1088/1748-9326/8/4/044021
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

Jones, B., & O’Neill, B. C. (2016). Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways. Environmental Research Letters, 11(8), 10 pp. doi:10.1088/1748-9326/11/8/084003
Gridded Population of the World (GPW) v3 (population count)
Gridded Population of the World (GPW) v4 (Doxsey-Whitfield et al. paper)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Jones, P. G., & Thornton, P. K. (2009). Croppers to livestock keepers: livelihood transitions to 2050 in Africa due to climate change. Environmental Science & Policy, 12(4), 427-437. doi:10.1016/j.envsci.2008.08.006
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Joppa, L. N., Loarie, S. R., & Pimm, S. L. (2009). On population growth near protected areas. PLoS ONE, 4(1), e4279. doi:10.1371/journal.pone.0004279
Gridded Population of the World (GPW) v3 (africa population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Joppa, L. N., & Pfaff, A. (2009). High and far: Biases in the location of protected areas. PLoS ONE, 4(12), e8273. doi:10.1371/journal.pone.0008273
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Joppa, L. N., & Pfaff, A. (2011). Global protected area impacts. Proceedings of the Royal Society B: Biological Sciences, 278(1712), 1633-1638. doi:10.1098/rspb.2010.1713
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (SPOT GLC2000)

Jordanova, D., Jordanova, N., & Petrov, P. (2014). Magnetic susceptibility of road deposited sediments at a national scale – Relation to population size and urban pollution. Environmental Pollution, 189, 239-251. doi:10.1016/j.envpol.2014.02.030
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) map

José, R. S., Pérez, J. L., Morant, J. L., & González, R. M. (2008). CFD and Mesoscale Air Quality Modelling Integration: Web Application for Las Palmas (Canary Islands, Spain). In Air Pollution Modeling and Its Application XIX (pp. 37-45).
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Josephson, A. L., Ricker-Gilbert, J., & Florax, R. J. G. M. (2014). How does population density influence agricultural intensification and productivity? Evidence from Ethiopia. Food Policy, 48, 142-152. doi:10.1016/j.foodpol.2014.03.004
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Kabaria, C. W., Gilbert, M., Noor, A. M., Snow, R. W., & Linard, C. (2017). The impact of urbanization and population density on childhood Plasmodium falciparum parasite prevalence rates in Africa. Malaria Journal, 16(1), 49. doi:10.1186/s12936-017-1694-2
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Kahn, M. E., Lozano-Gracia, N., & Soppelsa, M. E. (2021). Pollution's role in reducing urban quality of life in the developing world. Journal of Economic Surveys, 35(1), 330-347. doi:10.1111/joes.12404
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Kang, S., & Eltahir, E. A. B. (2018). North China Plain threatened by deadly heatwaves due to climate change and irrigation. Nature Communications, 9(1), 2894. doi:10.1038/s41467-018-05252-y
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (TRMM)

Karagiannis-Voules, D.-A., Biedermann, P., Ekpo, U. F., Garba, A., Langer, E., Mathieu, E., . . . Vounatsou, P. (2015). Spatial and temporal distribution of soil-transmitted helminth infection in sub-Saharan Africa: a systematic review and geostatistical meta-analysis. The Lancet Infectious Diseases, 15(1), 74-84. doi:10.1016/S1473-3099(14)71004-7
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Karagiannis-Voules, D.-A., Odermatt, P., Biedermann, P., Khieu, V., Schär, F., Muth, S., . . . Vounatsou, P. (2015). Geostatistical modelling of soil-transmitted helminth infection in Cambodia: Do socioeconomic factors improve predictions? Acta Tropica, 141(Part B), 204-212. doi:10.1016/j.actatropica.2014.09.001
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Last of the Wild v2 (Human Influence Index)

Kärcher, O., Frank, K., Walz, A., & Markovic, D. (2019). Scale effects on the performance of niche-based models of freshwater fish distributions. Ecological Modelling, 405, 33-42. doi:10.1016/j.ecolmodel.2019.05.006
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Katsikis, N. (2018). The ‘other’ horizontal metropolis: Landscapes of urban interdependence. In P. Viganò, C. Cavalieri, & M. Barcelloni Corte (Eds.), The Horizontal Metropolis Between Urbanism and Urbanization (pp. 23-45). Cham: Springer International Publishing.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Keirstead, J., & Schulz, N. B. (2010). London and beyond: Taking a closer look at urban energy policy. Energy Policy, 38(9), 4870-4879. doi:10.1016/j.enpol.2009.07.025
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Kelly-Hope, L., & McKenzie, F. E. (2009). The multiplicity of malaria transmission: a review of entomological inoculation rate measurements and methods across sub-Saharan Africa. Malaria Journal, 8(1), 19. doi:10.1186/1475-2875-8-19
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Kennedy, K. (2005). Malaria by the Numbers. NASA: Supporting Earth System Science. Retrieved from https://earthdata.nasa.gov/featured-stories/featured-research/malaria-numbers
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Kerski, J., J., & Clark, J. (2012). Raster Data and Privacy Issues. In The GIS Guide to Public Domain Data (pp. 77-130). Redlands: Esri Press.
GPW (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Keshavarzmohammadian, A. (2018). Impact of Breakthrough Battery Technology on Energy Use and Emissions from the U.S. Transportation Sector. (Ph.D. Ph.D.). University of Colorado Boulder, Retrieved from https://search.proquest.com/docview/2048347770?accountid=10226 
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)

Khan, M. A. H., Morris, W. C., Galloway, M., Shallcross, Beth M. A., Percival, C. J., & Shallcross, D. E. (2017). An estimation of the levels of stabilized Criegee Intermediates in the UK urban and rural atmosphere using the steady-state approximation and the potential effects of these intermediates on tropospheric oxidation cycles. International Journal of Chemical Kinetics, 49(8), 611-621. doi:10.1002/kin.21101
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Khan, S. U., Ogden, N. H., Fazil, A. A., Gachon, P. H., Dueymes, G. U., Greer, A. L., & Ng, V. (2020). Current and Projected Distributions of Aedes aegypti and Ae. albopictus in Canada and the U.S. Environmental Health Perspectives, 128(5), 057007. doi:10.1289/EHP5899
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF

Khosla, R. (2018). Changing India's urban and economic landscape. Economic and Political Weekly, 53(53), 64-72. Retrieved from http://www.epw.in/journal/2018/15/special-articles/changing-indias-urban-and-economic-landscape.html
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points map)

Khubrani, Y. M., Wetton, J. H., & Jobling, M. A. (2018). Extensive geographical and social structure in the paternal lineages of Saudi Arabia revealed by analysis of 27 Y-STRs. Forensic Science International: Genetics, 33, 98-105. doi:10.1016/j.fsigen.2017.11.015
Global Rural-Urban Mapping Project (GRUMP) v1 (map)

Kiesewetter, G., Borken-Kleefeld, J., Schöpp, W., Heyes, C., Thunis, P., Bessagnet, B., . . . Amann, M. (2014). Modelling NO2 concentrations at the street level in the GAINS integrated assessment model: projections under current legislation. Atmospheric Chemistry and Physics, 14(2), 813-829. doi:10.5194/acp-14-813-2014
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Kii, M., & Nakamura, K. (2015). Analysis on Global Urban Expansion and its Sensitivity to the Transportation Cost Variation. Retrieved from Kagawa, Japan: http://www.itec.doshisha-u.jp/03_publication/01_workingpaper/2014/14-06.pdf
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Kii, M., Nakanishi, H., Nakamura, K., & Doi, K. (2016). Transportation and spatial development: An overview and a future direction. Transport Policy, 49, 148-158. doi:10.1016/j.tranpol.2016.04.015
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Socioeconomic Downscaled Projections (collection)

Kim, S.-b., Van Zyl, J., Dunbar, R. S., Njoku, E. G., Johnson, J. T., Moghaddam, M., & Tsang, L. (2016). SMAP L2 Radar Half-Orbit 3 km EASE-Grid Soil Moisture, Version 3 User Guide. Retrieved from Boulder: https://doi.org/10.5067/J8SGO1E0Y9XZ
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SMAP)

Kim, S.-b., van Zyl, J., Dunbar, S., Njoku, E., Johnson, J., Moghaddam, M., . . . Tsang, L. (2014). Algorithm Theoretical Basis Document:  SMAP L2 & L3 Radar Soil Moisture (Active) Data Products. Retrieved from Pasadena: http://smap.jpl.nasa.gov/system/internal_resources/details/original/276_L2_3_SM_A_RevA_web.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
SMAP

Kinyoki, D. K., Berkley, J. A., Moloney, G. M., Odundo, E. O., Kandala, N.-B., & Noor, A. M. (2016). Space-time mapping of wasting among children under the age of five years in Somalia from 2007 to 2010. Spatial and Spatio-temporal Epidemiology, 16, 77-87. doi:10.1016/j.sste.2015.12.002
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Kinyoki, D. K., Kandala, N.-B., Manda, S. O., Krainski, E. T., Fuglstad, G.-A., Moloney, G. M., . . . Noor, A. M. (2016). Assessing comorbidity and correlates of wasting and stunting among children in Somalia using cross-sectional household surveys: 2007 to 2010. BMJ Open, 6(3), 9 pp. doi:10.1136/bmjopen-2015-009854
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Kinyoki, D. K., Manda, S. O., Moloney, G. M., Odundo, E. O., Berkley, J. A., Noor, A. M., & Kandala, N.-B. (2017). Modelling the ecological comorbidity of acute respiratory infection, diarrhoea and stunting among children under the age of 5 years in Somalia. International Statistical Review, 85(1), 164-176. doi:10.1111/insr.12206
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Kinyoki, D. K., Moloney, G. M., Uthman, O. A., Kandala, N.-B., Odundo, E. O., Noor, A. M., & Berkley, J. A. (2017). Conflict in Somalia: impact on child undernutrition. BMJ Global Health, 2(2), 12 pp. doi:10.1136/bmjgh-2016-000262
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Kiselev, S., Romashkin, R., Nelson, G. C., Mason-D'Croz, D., & Palazzo, A. (2013). Russia's food security and climate change: Looking into the future. Economics Discussion Papers, Kiel Institute for the World Economy, 7(2013-16), 54. Retrieved from http://www.economics-ejournal.org/economics/discussionpapers/2013-16
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Klotz, M., Kemper, T., Esch, T., Pesaresi, M., Pittore, M., Weiland, M., . . . Taubenböck, H. (2014). Mapping global exposure from space:  A review of existing products and comparison of two new layers of global urban extent. Paper presented at the Second European Conference on Earthquake Engineering and Seismology, Istanbul. http://elib.dlr.de/91514/1/2ECEES2014_Klotz_et_al.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Klotz, M., Kemper, T., Geiß, C., Esch, T., & Taubenböck, H. (2016). How good is the map? A multi-scale cross-comparison framework for global settlement layers: Evidence from Central Europe. Remote Sensing of Environment, 178, 191-212. doi:10.1016/j.rse.2016.03.001
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS - MOD500)
REMOTE SENSING (MERIS GlobCover)
REMOTE SENSING (TerraSAR-X/TanDEM-X Global Urban Footprint (GUF))
REMOTE SENSING (SPOT-5 Global Human Settlement Layer (GHSL))

Knutsen, C. H., Kotsadam, A., Olsen, E. H., & Wig, T. (2017). Mining and local corruption in Africa. American Journal of Political Science, 61(2), 320-334. doi:10.1111/ajps.12268
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006) population count

Koch, J., Schaldach, R., & Göpel, J. (2019). Can agricultural intensification help to conserve biodiversity? A scenario study for the African continent. Journal of Environmental Management, 247, 29-37. doi:10.1016/j.jenvman.2019.06.015
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (MODIS)

Koch, J., Schaldach, R., & Köchy, M. (2008). Modeling the impacts of grazing land management on land-use change for the Jordan River region. Global and Planetary Change, 64(3-4), 177-187. doi:10.1016/j.gloplacha.2008.09.005
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Koch, J., Wimmer, F., Schaldach, R., & Onigkeit, J. (2012). An Integrated Land-Use System Model for the Jordan River Region. In S. Appiah-Opoku (Ed.), Environmental Land Use Planning (pp. 87-116): InTech.
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Kocornik-Mina, A., McDermott, T. K. J., Michaels, G., & Rauch, F. (2015). Flooded Cities. Retrieved from London: http://cep.lse.ac.uk/pubs/download/dp1398.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

Koo, J., Cox, C. M., Bacou, M., Azzarri, C., Guo, Z., Wood-Sichra, U., . . . You, L. (2016). CELL5M: A geospatial database of agricultural indicators for Africa South of the Sahara. F1000Research, 5(2490), 13pp. doi:10.12688/f1000research.9682.1
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Koralegedara, S. B., Lin, C.-Y., Sheng, Y.-F., & Kuo, C.-H. (2016). Estimation of anthropogenic heat emissions in urban Taiwan and their spatial patterns. Environmental Pollution, 215, 84-95. doi:10.1016/j.envpol.2016.04.055
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Korner, C., Ohsawa, M., Spehn, E., Berge, E., Bugmann, H., Groombridge, B., . . . Yoshino, M. (2005). Mountain systems. In R. Hassan, R. Scholes, & N. Ash (Eds.), Ecosystems and Human Well-being:  Current State and Trends (Vol. 1, pp. 681-716). Washington: Island Press.
Gridded Population of the World (GPW) v3 (unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Koroma, J. B., Peterson, J., Gbakima, A. A., Nylander, F. E., Sahr, F., Soares Magalhães, R. J., . . . Hodges, M. H. (2010). Geographical distribution of intestinal schistosomiasis and soil-transmitted helminthiasis and preventive chemotherapy strategies in Sierra Leone. PLoS Neglected Tropical Diseases, 4(11), e891. doi:10.1371/journal.pntd.0000891
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
NASA REMOTE SENSING (SRTM)

Koufogiannis, F. (2017). Privacy in Multi-Agent and Dynamical Systems. (Ph.D.). University of Pennsylvania, Philadelphia. Retrieved from http://ezproxy.cul.columbia.edu/login?url=https://search.proquest.com/docview/1951775349?accountid=10226 (10606432)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Koufogiannis, F., & Pappas, G. J. (2016, 12-14 Dec. 2016). Location-dependent privacy. Paper presented at the 2016 IEEE 55th Conference on Decision and Control (CDC).
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Kraemer, M. U. G., Hay, S. I., Pigott, D. M., Smith, D. L., Wint, G. R. W., & Golding, N. (2016). Progress and challenges in infectious disease cartography. Trends in Parasitology, 32(1), 19-29. doi:10.1016/j.pt.2015.09.006
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Kraemer, M. U. G., Perkins, T. A., Cummings, D. A. T., Zakar, R., Hay, S., Smith, D. L., & Reiner, R. C. (2015). Big city, small world: density, contact rates, and transmission of dengue across Pakistan. Journal of the Royal Society Interface, 12(111), 20150468. doi:10.1098/rsif.2015.0468
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS - MOD11A2)

Kraemer, M. U. G., Sinka, M. E., Duda, K. A., Mylne, A. Q. N., Shearer, F. M., Barker, C. M., . . . Hay, S. I. (2015). The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. eLife, 4(e08347), 18. doi:10.7554/eLife.08347
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS EVI)

Krey, V., O'Neill, B. C., van Ruijven, B., Chaturvedi, V., Daioglou, V., Eom, J., . . . Ren, X. (2012). Urban and rural energy use and carbon dioxide emissions in Asia. Energy Economics, 34(3), S272-S283. doi:10.1016/j.eneco.2012.04.013
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Kriewald, S., Pradhan, P., Costa, L., Garcia-Cantu, A., & Kropp, J. P. (2019). Hungry Cities: how local food self-sufficiency relates to climate change, diets, and urbanisation. Environmental Research Letters, 14(9), 094007. doi:10.1088/1748-9326/ab2d56
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Kroeker, K. J., Reguero, B. G., Rittelmeyer, P., & Beck, M. W. (2016). Ecosystem service and coastal engineering tools for costal protection and risk reduction. In M. W. Beck & G.-M. Lange (Eds.), Managing Coasts with Natural Solutions: Guidelines for Measuring and Valuing the Coastal Protection Services of Mangroves and Coral Reefs (pp. 75-104). Washington Wealth Accounting and the Valuation of Ecosystem Services Partnership (WAVES), World Bank.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Krummenauer, L., Costa, L., Prahl, B. F., & Kropp, J. P. (2021). Future heat adaptation and exposure among urban populations and why a prospering economy alone won’t save us. Scientific Reports, 11(1), 20309. doi:10.1038/s41598-021-99757-0
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (SRTM)

Krummenauer, L., Prahl, B. F., Costa, L., Holsten, A., Walther, C., & Kropp, J. P. (2019). Global drivers of minimum mortality temperatures in cities. Science of The Total Environment, 695, 133560. doi:10.1016/j.scitotenv.2019.07.366
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
GPW (version unspecified - population density)
NASA REMOTE SENSING (SRTM)

Krunić, N., Bajat, B., & Kilibarda, M. (2015). Dasymetric mapping of population distribution in Serbia based on soil sealing degrees layer. In K. Růžičková & T. Inspektor (Eds.), Surface Models for Geosciences (pp. 137-149): Springer International Publishing.
Gridded Population of the World (GPW) v3 (unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Kuffer, M., Owusu, M., Oliveira, L., Sliuzas, R., & Rijn, F. v. (2022). The missing millions in maps: Exploring causes of uncertainties in global gridded population datasets. ISPRS International Journal of Geo-Information, 11(7), 403. doi:10.3390/ijgi11070403
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Kuhn, S. (2010). Cost-benefit analysis of ultra-low sulfur jet fuel. (S.M.). Massachusetts Institute of Technology, Cambridge. Retrieved from http://hdl.handle.net/1721.1/59683 
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Kulp, S. A., & Strauss, B. H. (2019). New elevation data triple estimates of global vulnerability to sea-level rise and coastal flooding. Nature Communications, 10(1), 4844. doi:10.1038/s41467-019-12808-z
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (SRTM)

Kumar, P., Gupta, K., Karnatak, H. C., Siddiqui, A., & Senthil Kumar, A. (2017). Geo-enabled e-Democracy Tools and Services for Smart Cities. In T. M. Vinod Kumar (Ed.), E-Democracy for Smart Cities (pp. 391-440). Singapore: Springer Singapore.
Gridded Population of the World (GPW) v4 (collection)
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Last of the Wild v2 (collection)
Natural Disaster Hotspots (collection)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (ASTER GDEM)

Kummu, M., de Moel, H., Ward, P. J., & Varis, O. (2011). How close do we live to water? A global analysis of population distance to freshwater bodies. PLoS ONE, 6(6), e20578. doi:10.1371/journal.pone.0020578
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Kundu, D., Debnath, T., & Lahiri, B. (2020). Overview of Urban Policies in China. In D. Kundu, R. Sietchiping, & M. Kinyanjui (Eds.), Developing National Urban Policies: Ways Forward to Green and Smart Cities (pp. 205-230). Singapore: Springer Singapore.
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points map)

Kunwar, B., Simini, F., & Johansson, A. (2014). Large scale pedestrian evacuation modeling framework using volunteered geographical information. Transportation Research Procedia, 2, 813-818. doi:10.1016/j.trpro.2014.09.092
Gridded Population of the World (GPW) v3 (population count future estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Kyalo, D., Amratia, P., Mundia, C. W., Mbogo, C. M., Coetzee, M., & Snow, R. W. (2017). A geo-coded inventory of anophelines in the Afrotropical Region south of the Sahara: 1898-2016 [version 1; referees: 3 approved]. Wellcome Open Research, 2(57), 25pp. doi:10.12688/wellcomeopenres.12187.1
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Lai, Y.-S., Biedermann, P., Shrestha, A., Chammartin, F., à Porta, N., Montresor, A., . . . Vounatsou, P. (2019). Risk profiling of soil-transmitted helminth infection and estimated number of infected people in South Asia: A systematic review and Bayesian geostatistical Analysis. PLoS Neglected Tropical Diseases, 13(8), e0007580. doi:10.1371/journal.pntd.0007580
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Last of the Wild v2 Global Human Influence Index (Geographic)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
NASA REMOTE SENSING (MODIS)

Lai, Y.-S., Zhou, X.-N., Pan, Z.-H., Utzinger, J., & Vounatsou, P. (2017). Risk mapping of clonorchiasis in the People’s Republic of China: A systematic review and Bayesian geostatistical analysis. PLoS Neglected Tropical Diseases, 11(3), e0005239. doi:10.1371/journal.pntd.0005239
Gridded Population of the World (GPW) v3 (population count future estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Last of the Wild v2 Global Human Influence Index (Geographic)
NASA REMOTE SENSING (MODIS)

Lall, S., Lebrand, M., Park, H., Sturm, D., & Venables, A. (2021). Pancakes to Pyramids: City Form to Promote Sustainable Growth. Retrieved from Washington DC: http://hdl.handle.net/10986/35684
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (Landsat)

Larmarange, J., Vallo, R., Yaro, S., Misellati, P., & Méda, N. (2011). Methods for mapping regional trends of HIV prevalence from Demographic and Health Surveys (DHS). Cybergeo: European Journal of Geography(558). doi:10.4000/cybergeo.24606
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Latham, J., Huddleston, B., Cumani, R., Martucci, A., Rosati, I., Salvatore, M., . . . El Nogoumy, N. (2009). The Africover and PMUR Datasets and the Challenge of Human Settlement in Africa. In P. Gamba & M. Herold (Eds.), Global Mapping of Human Settlement:  Experiences, Datasets, and Prospects (pp. 163-189). Boca Raton: CRC Press.
Global Rural-Urban Mapping Project (GRUMP) alpha (unspecified)

Lazer, L. (2019). Rising seas threaten low-lying coastal cities, 10% of world population.  Retrieved from https://blogs.ei.columbia.edu/2019/10/25/rising-seas-low-lying-coastal-cities/
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population and Land Area Estimates, v2)

Lazo, J. K. (2015). Survey of Mozambique Public on Weather, Water, and Climate Information. Retrieved from Boulder: https://doi.org/10.5065/D6B56GS4
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) map

Le Cozannet, G., Kervyn, M., Russo, S., Ifejika Speranza, C., Ferrier, P., Foumelis, M., . . . Modaressi, H. (2020). Space-based earth observations for disaster risk management. Surveys in Geophysics, 41, 1209-1235. doi:10.1007/s10712-020-09586-5
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Leach, M., Bett, B., Said, M., Bukachi, S., Sang, R., Anderson, N., . . . Koninga, J. (2017). Local disease–ecosystem–livelihood dynamics: reflections from comparative case studies in Africa. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1725), 18pp. doi:10.1098/rstb.2016.0163
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Leasure, D. R., Jochem, W. C., Weber, E. M., Seaman, V., & Tatem, A. J. (2020). National population mapping from sparse survey data: A hierarchical Bayesian modeling framework to account for uncertainty. Proceedings of the National Academy of Sciences, 117(39), 24173-24179. doi:10.1073/pnas.1913050117
Gridded Population of the World (GPW) v4 (Doxsey-Whitfield et al. paper - data set unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Leduc, S., Wetterlund, E., Dotzauer, E., & Kindermann, G. (2012). CHP or biofuel production in Europe? Energy Procedia, 20, 40-49. doi:10.1016/j.egypro.2012.03.006
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)

Lee, B. Y., Brown, S. T., Haidari, L. A., Clark, S., Abimbola, T., Pallas, S. E., . . . Ozawa, S. (2019). Economic value of vaccinating geographically hard-to-reach populations with measles vaccine: A modeling application in Kenya. Vaccine, 37(17), 2377-2386. doi:10.1016/j.vaccine.2019.03.007
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Lee, D., & Brenner, T. (2015). Perceived temperature in the course of climate change: an analysis of global heat index from 1979 to 2013. Earth System Science Data, 7(2), 193-202. doi:10.5194/essd-7-193-2015
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Lee, E. H., Olsen, C. H., Koehlmoos, T., Masuoka, P., Stewart, A., Bennett, J. W., & Mancuso, J. (2017). A cross-sectional study of malaria endemicity and health system readiness to deliver services in Kenya, Namibia and Senegal. Health Policy and Planning, 32(suppl_3), iii75-iii87. doi:10.1093/heapol/czx114
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Lehner, B., & Grill, G. (2013). Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems. Hydrological Processes, 15(2171-2186). doi:10.1002/hyp.9740
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Lei, Z., Xie, Y., Cheng, P., & Yang, H. (2023). From auxiliary data to research prospects, a review of gridded population mapping. Transactions in GIS, 27(1), 3-39. doi:10.1111/tgis.13020
Gridded Population of the World (GPW) v4 (collection)
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
POPGRID

Leitzell, K. (2012). Prosperity Shining. Sensing Our Planet: NASA Earth Science Research Features, 28-31. Retrieved from https://earthdata.nasa.gov/featured-stories/featured-research/prosperity-shining
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Levi, L., Cvetkovic, V., & Destouni, G. (2018). Data-driven analysis of nutrient inputs and transfers through nested catchments. Science of The Total Environment, 610, 482-494. doi:10.1016/j.scitotenv.2017.08.003
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Levin, T., & Thomas, V. M. (2012). Least-cost network evaluation of centralized and decentralized contributions to global electrification. Energy Policy, 41, 286-302. doi:10.1016/j.enpol.2011.10.048
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)

Leyk, S., Balk, D., Jones, B., Montgomery, M. R., & Engin, H. (2019). The heterogeneity and change in the urban structure of metropolitan areas in the United States, 1990–2010. Scientific Data, 6(1), 321. doi:10.1038/s41597-019-0329-6
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Leyk, S., Gaughan, A. E., Adamo, S. B., de Sherbinin, A. M., Balk, D., Freire, S., . . . Tatem, A. J. (2019). The spatial allocation of population: A review of large-scale gridded population data products and their fitness for use. Earth System Science Data, 11(3), 1385-1409. doi:10.5194/essd-11-1385-2019
Gridded Population of the World (GPW) v4.11 (population count) - 10.7927/H4JW8BX5
Gridded Population of the World (GPW) v4.11 (population count UN WPP-adjusted) - 10.7927/H4PN93PB
Gridded Population of the World (GPW) v4.11 (population density) - 10.7927/H49C6VHW
Gridded Population of the World (GPW) v4.11 (population density UN WPP-adjusted) - 10.7927/H4F47M65
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
POPGRID

Leyk, S., McCormick, B. J. J., & Nuckols, J. R. (2011). Effects of varying temporal scale on spatial models of mortality patterns attributed to pediatric diarrhea. Spatial and Spatio-temporal Epidemiology, 2(2), 91-101. doi:10.1016/j.sste.2011.03.002
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
NASA REMOTE SENSING (SRTM)

Leyk, S., & Uhl, J. H. (2018). HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years. Scientific Data, 5, 180175. doi:10.1038/sdata.2018.175
Gridded Population of the World (GPW) v4 (population count UN WPP-adjusted) - 10.7927/H4SF2T42
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Leyk, S., Uhl, J. H., Balk, D., & Jones, B. (2018). Assessing the accuracy of multi-temporal built-up land layers across rural-urban trajectories in the United States. Remote Sensing of Environment, 204, 898-917. doi:10.1016/j.rse.2017.08.035
Gridded Population of the World (GPW) v2 (collection)
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Li, M., De Pinto, A., Ulimwengu, J. M., You, L., & Robertson, R. D. (2015). Impacts of road expansion on deforestation and biological carbon loss in the Democratic Republic of Congo. Environmental and Resource Economics, 60(3), 433-469. doi:10.1007/s10640-014-9775-y
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Li, Q., & An, L. (2020). Corruption takes away happiness: Evidence from a cross-national study. Journal of Happiness Studies, 21, 485-504. doi:10.1007/s10902-019-00092-z
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Li, X.-X., Ren, Z.-P., Wang, L.-X., Zhang, H., Jiang, S.-W., Chen, J.-X., . . . Zhou, X.-N. (2016). Co-endemicity of pulmonary tuberculosis and intestinal helminth infection in the People’s Republic of China. PLoS Neglected Tropical Diseases, 10(4), e0004580. doi:10.1371/journal.pntd.0004580
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Satellite-Derived Environmental Indicators (Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth (AOD), v1)

Liang, L., & Gong, P. (2020). Urban and air pollution: a multi-city study of long-term effects of urban landscape patterns on air quality trends. Scientific Reports, 10(1), 18618. doi:10.1038/s41598-020-74524-9
China Dimensions (China Administrative Regions GIS Data: 1:1M, County Level, 1 July 1990) - 10.7927/H4GT5K3V
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF

Liang, S., Schweers, W., & Liu, J. (2008). Final Report Desakota, Part II E2. Regional literature review on ecosystem services and poverty alleviation - China Desakota Assessment. Retrieved from https://www.gov.uk/dfid-research-outputs/final-report-desakota-part-ii-e2-regional-literature-review-on-ecosystem-services-and-poverty-alleviation-china-desakota-assessment
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Lichter, M., Vafeidis, A. T., Nicholls, R. J., & Kaiser, G. (2011). Exploring data-related uncertainties in analyses of land area and population in the “Low-Elevation Coastal Zone” (LECZ). Journal of Coastal Research, 27(4), 757-768. doi:10.2112/jcoastres-d-10-00072.1
Gridded Population of the World (GPW) v1
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
NASA REMOTE SENSING (SRTM)

Lieske, D. J., MacIntosh, M., Millet, L., Bondrup-Nielsen, S., Pollard, J. B., Parsons, G., . . . Banks, L. K. (2018). Modelling the impacts of agriculture in mixed-use landscapes: a review and case study involving two species of dabbling ducks. Landscape Ecology, 33(1), 35-57. doi:10.1007/s10980-017-0579-7
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Limmathurotsakul, D., Golding, N., Dance, D. A. B., Messina, J. P., Pigott, D. M., Moyes, C. L., . . . Hay, S. I. (2016). Predicted global distribution of Burkholderia pseudomallei and burden of melioidosis. Nature Microbiology, 1, 15008. doi:10.1038/nmicrobiol.2015.8
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Lin, J., Liu, X., Li, K., & Li, X. (2014). A maximum entropy method to extract urban land by combining MODIS reflectance, MODIS NDVI, and DMSP-OLS data. International Journal of Remote Sensing, 35(18), 6708-6727. doi:10.1080/01431161.2014.960623
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Linard, C., Alegana, V. A., Noor, A. M., Snow, R. W., & Tatem, A. J. (2010). A high resolution spatial population database of Somalia for disease risk mapping. International Journal of Health Geographics, 9(45). doi:10.1186/1476-072X-9-45
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Linard, C., Gilbert, M., Snow, R. W., Noor, A. M., & Tatem, A. J. (2012). Population distribution, settlement patterns and accessibility across Africa in 2010. PLoS ONE, 7(2), e31743. doi:10.1371/journal.pone.0031743
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (MERIS GlobCover)

Linard, C., Gilbert, M., & Tatem, A. J. (2011). Assessing the use of global land cover data for guiding large area population distribution modelling. GeoJournal, 76(5), 525-538. doi:10.1007/s10708-010-9364-8
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (AVHRR)
REMOTE SENSING (MERIS GlobCover)

Linard, C., Kabaria, C. W., Gilbert, M., Tatem, A. J., Gaughan, A. E., Stevens, F. R., . . . Snow, R. W. (2017). Modelling changing population distributions: an example of the Kenyan Coast, 1979–2009. International Journal of Digital Earth, 10(10), 1017-1029. doi:10.1080/17538947.2016.1275829
Gridded Population of the World (GPW) v3 (collection)
Gridded Population of the World (GPW) v4 (Doxsey-Whitfield et al. paper)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Landsat)

Linard, C., & Tatem, A. J. (2012). Large-scale spatial population databases in infectious disease research. International Journal of Health Geographics, 11(7). doi:10.1186/1476-072X-11-7
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Lincke, D., & Hinkel, J. (2018). Economically robust protection against 21st century sea-level rise. Global Environmental Change, 51, 67-73. doi:10.1016/j.gloenvcha.2018.05.003
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (SRTM)

Lincke, D., Wolff, C., Hinkel, J., Vafeidis, A. T., Blickensdörfer, L., & Povh Skugor, D. (2020). The effectiveness of setback zones for adapting to sea-level rise in Croatia. Regional Environmental Change, 20(2), 46. doi:10.1007/s10113-020-01628-3
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Lind, J., Sabates-Wheeler, R., & Kohnstamm, S. (2016). Changes in the Drylands of Eastern Africa:  Technical Note on the Evidence Synthesis and Data Mapping. Retrieved from Sussex: https://www.gov.uk/dfid-research-outputs/changes-in-the-drylands-of-eastern-africa-technical-note-on-the-evidence-synthesis-and-data-mapping
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Lindberg, F., Grimmond, C. S. B., Yogeswaran, N., Kotthaus, S., & Allen, L. (2013). Impact of city changes and weather on anthropogenic heat flux in Europe 1995–2015. Urban Climate, 4, 1-15. doi:10.1016/j.uclim.2013.03.002
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Liu, J., Kiesewetter, G., Klimont, Z., Cofala, J., Heyes, C., Schöpp, W., . . . Amann, M. (2019). Mitigation pathways of air pollution from residential emissions in the Beijing-Tianjin-Hebei region in China. Environment International, 125, 236-244. doi:10.1016/j.envint.2018.09.059
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Liu, Q., Yu, H., Zhang, P., & Luo, Q. (2023). The spatial-temporal characteristics of PM2.5 concentrations in Chinese cities and the influencing factors. Journal of Resources and Ecology, 14(3), 433-444. doi:10.5814/j.issn.1674-764x.2023.03.001
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Liu, R., Wang, M., & Chen, W. (2018). The influence of urbanization on organic carbon sequestration and cycling in soils of Beijing. Landscape and Urban Planning, 169(Supplement C), 241-249. doi:10.1016/j.landurbplan.2017.09.002
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Liu, X., de Sherbinin, A., & Zhan, Y. (2019). Mapping urban extent at large spatial scales using machine learning methods with VIIRS Nighttime Light and MODIS Daytime NDVI Data. Remote Sensing, 11(10), 1247. doi:10.3390/rs11101247
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)
Global High Resolution Urban Data from Landsat (GMIS)
Global High Resolution Urban Data from Landsat (HBASE)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (VIIRS)

Liu, Z., He, C., Zhou, Y., & Wu, J. (2014). How much of the world’s land has been urbanized, really? A hierarchical framework for avoiding confusion. Landscape Ecology, 29(5), 763-771. doi:10.1007/s10980-014-0034-y
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS Urban Land Cover)
REMOTE SENSING (MERIS GlobCover2009)
REMOTE SENSING (DMSP-OLS)

Lloyd, C. T., Chamberlain, H., Kerr, D., Yetman, G., Pistolesi, L., Stevens, F. R., . . . Tatem, A. J. (2019). Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets. Big Earth Data, 3(2), 108-139. doi:10.1080/20964471.2019.1625151
Gridded Population of the World (GPW) v3 (population density) - 10.7927/H4XK8CG2
Gridded Population of the World (GPW) v4 (data quality indicators) - 10.7927/H49C6VBN
Gridded Population of the World (GPW) v4.11 (national identifier grid)
Gridded Population of the World (GPW) v4 (population density UN WPP-adjusted) - 10.7927/H4HX19NJ
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS Cloud Mask)

Lloyd, C. T., Sorichetta, A., & Tatem, A. J. (2017). High resolution global gridded data for use in population studies. Scientific Data, 4(170001). doi:10.1038/sdata.2017.1
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS NTL)

López-Carr, D., Pricope, N. G., Aukema, J. E., Jankowska, M. M., Funk, C., Husak, G., & Michaelsen, J. (2014). A spatial analysis of population dynamics and climate change in Africa: potential vulnerability hot spots emerge where precipitation declines and demographic pressures coincide. Population and Environment, 35(3), 323-339. doi:10.1007/s11111-014-0209-0
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Loth, L., Gilbert, M., Wu, J., Czarnecki, C., Hidayat, M., & Xiao, X. (2011). Identifying risk factors of highly pathogenic avian influenza (H5N1 subtype) in Indonesia. Preventive Veterinary Medicine, 102(1), 50-58. doi:10.1016/j.prevetmed.2011.06.006
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)

Loughlin, S., Barsotti, S., Bonadonna, C., & Calder, E. (2017). Geophysical risk: Volcanic Activity. In K. Poljanšek, M. Marin Ferrer, T. De Groeve, & I. Clark (Eds.), Science for Disaster Risk Management 2017:  Knowing Better and Losing Less (pp. 151-190): Publications Office of the European Union.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Loumeau, N. (2020). Essays in Economic Geography. (Dr. sc.). ETH Zurich, Retrieved from https://doi.org/10.3929/ethz-b-000424283 
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Løvholt, F., Glimsdal, S., Harbitz, C. B., Zamora, N., Nadim, F., Peduzzi, P., . . . Smebye, H. (2012). Tsunami hazard and exposure on the global scale. Earth-Science Reviews, 110(1–4), 58-73. doi:10.1016/j.earscirev.2011.10.002
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (SRTM)

Lozano-Gracia, N., & Soppelsa, M. E. (2019). Pollution and City Competitiveness: A Descriptive Analysis. Retrieved from Washington DC: http://hdl.handle.net/10986/31278
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Lu, Z., Zhang, Q., & Streets, D. G. (2011). Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996-2010. Atmospheric Chemistry and Physics, 11, 9839-9864. doi:10.5194/acp-11-9839-2011
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (OMI)
REMOTE SENSING (SCIAMACHY)

Luangasanatip, N., Flasche, S., Dance, D. A. B., Limmathurotsakul, D., Currie, B. J., Mukhopadhyay, C., . . . Jit, M. (2019). The global impact and cost-effectiveness of a melioidosis vaccine. BMC Medicine, 17(1), 129. doi:10.1186/s12916-019-1358-x
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Lüdeke, M. K. B., Walther, C., Sterzel, T., Kok, M. T. J., Lucas, P., Janssen, P., & Hilderink, H. (2014). Understanding Change in Patterns of Vulnerability. Retrieved from Potsdam: https://www.pik-potsdam.de/research/publications/pikreports/summary-report-no-127
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Ma, Y., Xu, W., Zhao, X., & Li, Y. (2017). Modeling the hourly distribution of population at a high spatiotemporal resolution using subway smart card data: A case study in the central area of Beijing. ISPRS International Journal of Geo-Information, 6(5), 18pp. doi:10.3390/ijgi6050128
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Machault, V., Vignolles, C., Borchi, F., Vounatsou, P., Pages, F., Briolant, S., . . . Rogier, C. (2011). The use of remotely sensed environmental data in the study of malaria. Geospatial Health, 5(2), 151-168. doi:10.4081/gh.2011.167
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

MacManus, K., Balk, D., Engin, H., McGranahan, G., & Inman, R. (2021). Estimating population and urban areas at risk of coastal hazards, 1990–2015: How data choices matter. Earth System Science Data, 13(12), 5747-5801. doi:10.5194/essd-13-5747-2021
Gridded Population of the World (GPW) v4.11 (national identifier grid) - 10.7927/H4TD9VDP
Global Rural-Urban Mapping Project (GRUMP) v1.02 (urban extent polygons) - 10.7927/np6p-qe61
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1) - 10.7927/H4TM782G
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population and Land Area Estimates, v2) - 10.7927/H4MW2F2J
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population and Land Area Estimates, v3) - 10.7927/d1x1-d702
Satellite-Derived Environmental Indicators (VIIRS Plus DMSP Change in Lights (VIIRS+DMSP dLIGHT), v1) - 10.7927/9ryj-6467
REMOTE SENSING (MERIT)

Magalhães, R. J., Langa, A., Sousa-Figueiredo, J. C., Clements, A. C. A., & Vaz Nery, S. (2012). Finding malaria hot-spots in northern Angola: the role of individual, household and environmental factors within a meso-endemic area. Malaria Journal, 11, 385. doi:10.1186/1475-2875-11-385
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Makboul, Y., Hakdaoui, M., Ghafiri, A., & Elmoutaki, S. (2015). Monitoring urban evolution between 1975 and 2015 using GIS and remote sensing technics: case of Laayoune City (Morocco). International Journal of Advanced Research, 3(10), 331-342. Retrieved from http://www.journalijar.com/article/6322/monitoring-urban-evolution-between-1975-and-2015-using-gis-and-remote-sensing-technics:-case-of-laayoune-city-%28morocco%29/
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Malek, Ž., & Verburg, P. H. (2017). Mediterranean land systems: Representing diversity and intensity of complex land systems in a dynamic region. Landscape and Urban Planning, 165, 102-116. doi:10.1016/j.landurbplan.2017.05.012
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Gridded Population of the World (GPW) v4 (population density)

Malek, Ž., & Verburg, P. H. (2020). Mapping global patterns of land use decision-making. Global Environmental Change, 65, 102170. doi:10.1016/j.gloenvcha.2020.102170
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
Gridded Population of the World (GPW) v4.10 (population density) - 10.7927/H4DZ068D
Last of the Wild v2 Global Human Influence Index (Geographic) - 10.7927/H4BP00QC
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1) - 10.7927/H4K64G12

Manacorda, M., & Tesei, A. (2016). Liberation Technology: Mobile Phones and Political Mobilization in Africa. Retrieved from London: http://cep.lse.ac.uk/pubs/download/dp1419.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)
Gridded Population of the World (GPW) v3 (population count)
Gridded Population of the World (GPW) v3 (population count future estimates)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Manacorda, M., & Tesei, A. (2020). Liberation technology: Mobile phones and political mobilization in Africa. Econometrica, 88(2), 533-567. doi:10.3982/ecta14392
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
NASA REMOTE SENSING (LIS)
NASA REMOTE SENSING (OTD)
REMOTE SENSING (DMSP-OLS)

Mandel, A., Tiggeloven, T., Lincke, D., Koks, E., Ward, P., & Hinkel, J. (2021). Risks on global financial stability induced by climate change: the case of flood risks. Climatic Change, 166(1), 4. doi:10.1007/s10584-021-03092-2
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (SRTM)

Manunta, P., Sharma, V., & Yi, J. (2021). Earth Observation for Planning and Resilience of Livable Cities. In B. Susantoo & R. Guild (Eds.), Creating Livable Asian Cities (pp. 67-88): Asia Development Bank.
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (VIIRS NTL)

Mao, L., Yang, J., & Deng, G. (2018). Mapping rural–urban disparities in late-stage cancer with high-resolution rurality index and GWR. Spatial and Spatio-temporal Epidemiology, 26, 15-23. doi:10.1016/j.sste.2018.04.001
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Marcotullio, P. J., Keßler, C., & Fekete, B. M. (2021). The future urban heat-wave challenge in Africa: Exploratory analysis. Global Environmental Change, 66, 102190. doi:10.1016/j.gloenvcha.2020.102190
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (MERIS GlobCover)

Marcotullio, P. J., Kessler, C., & Fekete, B. M. (2020). Future Megacity-Regions and Heatwave Exposure. In D. Labbé (Ed.), Handbook of Megacities and Megacity-Regions (pp. 309-326): Edward Elgar Publishing.
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Marcotullio, P. J., Sarzynski, A., Albrecht, J., & Schulz, N. (2012). The geography of urban greenhouse gas emissions in Asia: A regional analysis. Global Environmental Change, 22(4), 944-958. doi:10.1016/j.gloenvcha.2012.07.002
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Marcotullio, P. J., Sarzynski, A., Albrecht, J., & Schulz, N. (2014). A top-down regional assessment of urban greenhouse gas emissions in Europe. Ambio, 43(7), 957-968. doi:10.1007/s13280-013-0467-6
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

Marcotullio, P. J., Sarzynski, A., Albrecht, J., Schulz, N., & Garcia, J. (2013). The geography of global urban greenhouse gas emissions: an exploratory analysis. Climatic Change, 121(4), 621-634. doi:10.1007/s10584-013-0977-z
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Markovic, D., Walz, A., & Kärcher, O. (2019). Scale effects on the performance of niche-based models of freshwater fish distributions: Local vs. upstream area influences. Ecological Modelling, 411, 108818. doi:10.1016/j.ecolmodel.2019.108818
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Marlier, M. E., Jina, A. S., Kinney, P. L., & DeFries, R. S. (2016). Extreme air pollution in global megacities. Current Climate Change Reports, 2(1), 15-27. doi:10.1007/s40641-016-0032-z
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Satellite-Derived Environmental Indicators (Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD), v1) - 10.7927/H4028PFS
NASA REMOTE SENSING (MODIS)

Marshall, J. D. (2007). Urban land area and population growth: A new scaling relationship for metropolitan expansion. Urban Studies, 44(10), 1889-1904. doi:10.1080/00420980701471943
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Martin, V., Pfeiffer, D. U., Zhou, X., Xiao, X., Prosser, D. J., Guo, F., & Gilbert, M. (2011). Spatial distribution and risk factors of highly pathogenic avian influenza (HPAI) H5N1 in China. PLOS Pathogens, 7(3), e1001308. doi:10.1371/journal.ppat.1001308
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Martine, G. (2009). Population dynamics and policies in the context of global climate change. In J. M. Guzman, G. Martine, G. McGranahan, D. Schensul, & C. Tacoli (Eds.), Population Dynamics and Climate Change (pp. 9-30). New York: IIED/UNFPA.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

Martínez Arranz, A., Thomson, R., Zech, S., Hegde, G., Arunachalam, D., & Rao, A. B. (2021). The uneven expansion of electricity supply in India: The logics of clientelism, incrementalism and maximin. Energy Research & Social Science, 78, 102126. doi:10.1016/j.erss.2021.102126
Gridded Population of the World (GPW) v4.10 (admin unit center points) - 10.7927/h46h4fct
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF

Marzeion, B., & Levermann, A. (2014). Loss of cultural world heritage and currently inhabited places to sea-level rise. Environmental Research Letters, 9(3), 034001. doi:10.1088/1748-9326/9/3/034001
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (SRTM)

Massoda Tonye, S. G., Kouambeng, C., Wounang, R., & Vounatsou, P. (2018). Challenges of DHS and MIS to capture the entire pattern of malaria parasite risk and intervention effects in countries with different ecological zones: the case of Cameroon. Malaria Journal, 17(1), 14pp. doi:10.1186/s12936-018-2284-7
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Matus, K., Nam, K.-M., Selin, N. E., Lamsal, L. N., Reilly, J. M., & Paltsev, S. (2011). Health Damages from Air Pollution in China. Retrieved from http://hdl.handle.net/1721.1/61774
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Matus, K., Nam, K.-M., Selin, N. E., Lamsal, L. N., Reilly, J. M., & Paltsev, S. (2012). Health damages from air pollution in China. Global Environmental Change, 22(1), 55-66. doi:10.1016/j.gloenvcha.2011.08.006
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Maystadt, J.-F., Calderone, M., & You, L. (2015). Local warming and violent conflict in North and South Sudan. Journal of Economic Geography, 15(3), 649-671. doi:10.1093/jeg/lbu033
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Mazor, T., Friess, D. A., Todd, P. A., Huang, D., Nguyen, N. T. H., Saunders, M. I., . . . Lovelock, C. E. (2021). Large conservation opportunities exist in >90% of tropic-subtropic coastal habitats adjacent to cities. One Earth, 4(7), 1004-1015. doi:10.1016/j.oneear.2021.06.010
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF

Mazor, T., Giakoumi, S., Kark, S., & Possingham, H. P. (2014). Large-scale conservation planning in a multinational marine environment: cost matters. Ecological Applications, 24(5), 1115-1130. doi:10.1890/13-1249.1
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

McDonald, R., Douglas, I., Revenga, C., Hale, R., Grimm, N., Grönwall, J., & Fekete, B. (2011). Global urban growth and the geography of water availability, quality, and delivery. Ambio, 40(5), 437-446. doi:10.1007/s13280-011-0152-6
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

McDonald, R. I., Forman, R. T. T., Kareiva, P., Neugarten, R., Salzer, D., & Fisher, J. (2009). Urban effects, distance, and protected areas in an urbanizing world. Landscape and Urban Planning, 93(1), 63-75. doi:10.1016/j.landurbplan.2009.06.002
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

McDonald, R. I., Green, P., Balk, D., Fekete, B. M., Revenga, C., Todd, M., & Montgomery, M. (2011). Urban growth, climate change, and freshwater availability. Proceedings of the National Academy of Sciences, 108(15), 6312-6317. doi:10.1073/pnas.1011615108
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

McDonald, R. I., Kareiva, P., & Forman, R. T. T. (2008). The implications of current and future urbanization for global protected areas and biodiversity conservation. Biological Conservation, 141(6), 1695-1703. doi:10.1016/j.biocon.2008.04.025
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

McDonald, R. I., Weber, K., Padowski, J., Flörke, M., Schneider, C., Green, P. A., . . . Montgomery, M. (2014). Water on an urban planet: Urbanization and the reach of urban water infrastructure. Global Environmental Change, 27, 96-105. doi:10.1016/j.gloenvcha.2014.04.022
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

McDonald, R. I., Weber, K. F., Padowski, J., Boucher, T., & Shemie, D. (2016). Estimating watershed degradation over the last century and its impact on water-treatment costs for the world’s large cities. Proceedings of the National Academy of Sciences, 113(32), 9117-9122. doi:10.1073/pnas.1605354113
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

McDonough, C. A., Franks, D. G., Hahn, M. E., & Lohmann, R. (2019). Aryl hydrocarbon receptor-mediated activity of gas-phase ambient air derived from passive sampling and an in vitro bioassay. Environmental Toxicology and Chemistry, 38(4), 748-759. doi:10.1002/etc.4361
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

McDonough, C. A., Helm, P. A., Muir, D. C. G., Puggioni, G., & Lohmann, R. (2016). Polycyclic musks in the air and water of the lower Great Lakes: Spatial distribution and volatilization from surface waters. Environmental Science & Technology, 50(21), 11575-11583. doi:10.1021/acs.est.6b03657
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

McDonough, C. A., Puggioni, G., Helm, P. A., Muir, D. C. G., & Lohmann, R. (2016). Spatial distribution and air-water exchange of organic flame retardants in the lower Great Lakes. Environmental Science & Technology, 50(17), 9133-9141. doi:10.1021/acs.est.6b02496
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

McGranahan, G., Balk, D., & Anderson, B. (2006). Low coastal zone settlements. Tiempo(59), 23-26. Retrieved from http://tiempo.sei-international.org/portal/archive/pdf/tiempo59low.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

McGranahan, G., Balk, D., & Anderson, B. (2007). The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones. Environment and Urbanization, 19(1), 17-37. doi:10.1177/0956247807076960
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

McGranahan, G., Balk, D., & Anderson, B. (2008). A summary of the risks of climate change and urban settlement in low elevation coastal areas. In G. Martine, G. McGranahan, M. Montgomery, & R. Fernandez-Castilla (Eds.), The New Global Frontier: Cities, Poverty And Environment In The 21st Century (pp. 165-182). London: Earthscan.
Global Rural-Urban Mapping Project (GRUMP) alpha (unspecified)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

McGranahan, G., & Tacoli, C. (2006). Rural-urban migration in China: policy options for economic growth, environmental sustainability and equity. Retrieved from http://pubs.iied.org/10535IIED/?k=Rural-urban+migration+in+China
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

McGregor, T., Smith, B., & Wills, S. (2019). Measuring inequality. Oxford Review of Economic Policy, 35(3), 368-395. doi:10.1093/oxrep/grz015
Global Rural-Urban Mapping Project (GRUMP) v1 (methodology)

McGregor, T., & Wills, S. (2016). Natural Assets: Surfing a Wave of Economic Growth. Retrieved from http://econ-wpseries.com/2016/201606.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

McGuirk, E., & Burke, M. (2017). The Economic Origins of Conflict in Africa. Retrieved from Cambridge, MA: https://doi.org/10.3386/w23056
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

McKeen, T., Bondarenko, M., Kerr, D., Esch, T., Marconcini, M., Palacios-Lopez, D., . . . Sorichetta, A. (2023). High-resolution gridded population datasets for Latin America and the Caribbean using official statistics. Scientific Data, 10(1), 436. doi:10.1038/s41597-023-02305-w
Gridded Population of the World (GPW) v4.11 (population count UN WPP-adjusted) - 10.7927/H4PN93PB
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
Gridded Population of the World (GPW) v4 (Doxsey-Whitfield et al. paper)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (VIIRS NTL)

McKenzie, G., & Slind, R. T. (2019). A user-generated data based approach to enhancing location prediction of financial services in sub-Saharan Africa. Applied Geography, 105, 25-36. doi:10.1016/j.apgeog.2019.02.005
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

McKinnon, M. (2011). Asian Cities:  Globalization, Urbanization and Nation-Building. Copenhagen: NIAS Press.
Gridded Population of the World (GPW) v3 (unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

McMichael, C., Dasgupta, S., Ayeb-Karlsson, S., & Kelman, I. (2020). A review of estimating population exposure to sea-level rise and the relevance for migration. Environmental Research Letters, 15(12), 123005. doi:10.1088/1748-9326/abb398
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

McNicol, I. M., Ryan, C. M., & Mitchard, E. T. A. (2018). Carbon losses from deforestation and widespread degradation offset by extensive growth in African woodlands. Nature Communications, 9(1), 3045. doi:10.1038/s41467-018-05386-z
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
NASA REMOTE SENSING (ALOS PALSAR)

Meekers, D., & Yukich, J. O. (2016). The association between household bed net ownership and all-cause child mortality in Madagascar. Malaria Journal, 15(1), 1-13. doi:10.1186/s12936-016-1520-2
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Meijden, B. v., Roling, P. C., & Curran, R. (2018). Flexible runway use modeling using pairwise RECAT-EU separation minima. Paper presented at the 2018 Aviation Technology, Integration, and Operations Conference, Atlanta, GA.
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Melchiorri, M., Florczyk, A., Freire, S., Schiavina, M., Pesaresi, M., & Kemper, T. (2018). Unveiling 25 years of planetary urbanization with remote sensing: Perspectives from the Global Human Settlement Layer. Remote Sensing, 10(5), 768. doi:10.3390/rs10050768
Gridded Population of the World (GPW) v4 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Landsat)

Menon, S., Akbari, H., Mahanama, S., Sednev, I., & Levinson, R. (2010). Radiative forcing and temperature response to changes in urban albedos and associated CO2 offsets. Environmental Research Letters, 5(1), 014005. doi:10.1088/1748-9326/5/1/014005
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Menz, A. (2015). A means to alleviate the bushmeat crisis? The feasibility of establishing sustainable grasscutter farms in Kenya. Consilience:  The Journal of Sustainable Development, 13(1), 130-164. Retrieved from http://www.consiliencejournal.org/index.php/consilience/article/viewArticle/407
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Merkens, J.-L., Lincke, D., Hinkel, J., Brown, S., & Vafeidis, A. T. (2018). Regionalisation of population growth projections in coastal exposure analysis. Climatic Change, 151(3-4), 413-426. doi:10.1007/s10584-018-2334-8
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Merkens, J.-L., Reimann, L., Hinkel, J., & Vafeidis, A. T. (2016). Gridded population projections for the coastal zone under the Shared Socioeconomic Pathways. Global and Planetary Change, 145, 57-66. doi:10.1016/j.gloplacha.2016.08.009
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population and Land Area Estimates, v2)

Merkens, J.-L., & Vafeidis, A. (2018). Using information on settlement patterns to improve the spatial distribution of population in coastal impact assessments. Sustainability, 10(9), 3170. doi:10.3390/su10093170
Gridded Population of the World (GPW) v4.10 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Mertes, C. M., Schneider, A., Sulla-Menashe, D., Tatem, A. J., & Tan, B. (2015). Detecting change in urban areas at continental scales with MODIS data. Remote Sensing of Environment, 158, 331-347. doi:10.1016/j.rse.2014.09.023
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (MODIS)

Meschede, H., Holzapfel, P., Kadelbach, F., & Hesselbach, J. (2016). Classification of global island regarding the opportunity of using RES. Applied Energy, 175, 251-258. doi:10.1016/j.apenergy.2016.05.018
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA (Surface meteorology and solar energy: global data sets)

Mesimäki, M., Hauru, K., & Lehvävirta, S. (2019). Do small green roofs have the possibility to offer recreational and experiential benefits in a dense urban area? A case study in Helsinki, Finland. Urban Forestry & Urban Greening, 40, 114-124. doi:10.1016/j.ufug.2018.10.005
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Messina, J. P., Brady, O. J., Pigott, D. M., Golding, N., Kraemer, M. U. G., Scott, T. W., . . . Hay, S. I. (2015). The many projected futures of dengue. Nature Reviews Microbiology, 13(4), 230-239. doi:10.1038/nrmicro3430
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Miao, Q. (2017). Technological innovation, social learning and natural hazard mitigation: evidence on earthquake fatalities. Environment and Development Economics, 22(3), 249-273. doi:10.1017/S1355770X1700002X
Global Rural-Urban Mapping Project (GRUMP) v1 (land and geographic area grids)

Milch, K., Gorokhovich, Y., & Doocy, S. (2010). Effects of seismic intensity and socioeconomic status on injury and displacement after the 2007 Peru earthquake. Disasters, 34(4), 1171-1182. doi:10.1111/j.1467-7717.2010.01188.x
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Miller, D. C., Munos Mora, J. C., & Christiaensen, L. (2016). Prevalence, economic contribution, and determinants of trees on farms across Sub-Saharan Africa. Retrieved from http://documents.worldbank.org/curated/en/819461471962574880/Prevalence-economic-contribution-and-determinants-of-trees-on-farms-across-Sub-Saharan-Africa
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Mishra, V., Ganguly, A. R., Nijssen, B., & Lettenmaier, D. P. (2015). Changes in observed climate extremes in global urban areas. Environmental Research Letters, 10(2), 024005. doi:10.1088/1748-9326/10/2/024005
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Misra, P., Avtar, R., & Takeuchi, W. (2018). Comparison of digital building height models extracted from AW3D, TanDEM-X, ASTER, and SRTM digital surface models over Yangon City. Remote Sensing, 10(12), 2008. doi:10.3390/rs10122008
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Satellite-Derived Environmental Indicators (Global Urban Heat Island (UHI) Data Set, v1)
NASA REMOTE SENSING (ASTER GDEM)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (TanDEM-X)
REMOTE SENSING (ALOS Global Digital Surface Model - ALOS World 3D - 30m (AW3D30))

Mitchard, E. T. A., Saatchi, S. S., Gerard, F. F., Lewis, S. L., & Meir, P. (2009). Measuring woody encroachment along a forest-savanna boundary in Central Africa. Earth Interactions, 13(8), 1-29. doi:10.1175/2009EI278.1
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (ASTER)
REMOTE SENSING (Landsat)
REMOTE SENSING (Quickbird)

Mitchard, E. T. A., Saatchi, S. S., Lewis, S. L., Feldpausch, T. R., Woodhouse, I. H., Sonké, B., . . . Meir, P. (2011). Measuring biomass changes due to woody encroachment and deforestation/degradation in a forest–savanna boundary region of central Africa using multi-temporal L-band radar backscatter. Remote Sensing of Environment, 115(11), 2861-2873. doi:10.1016/j.rse.2010.02.022
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (PALSAR)
REMOTE SENSING (JERS-1)

Miyazaki, H., Iwao, K., & Shibasaki, R. (2011). Development of a new ground truth database for global urban area mapping from a gazetteer. Remote Sensing, 3(6), 1177-1187. doi:10.3390/rs3061177
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (ASTER)
NASA REMOTE SENSING (MODIS)

Miyazaki, H., Shao, X., Iwao, K., & Shibasaki, R. (2013). An automated method for global urban area mapping by integrating ASTER satellite images and GIS data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(2), 1004-1019. doi:10.1109/jstars.2012.2226563
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (ASTER)
NASA REMOTE SENSING (MODIS)

Miyazaki, H., Shao, X., Iwao, K., & Shibasaki, R. (2014). Development of a global built-up area map using ASTER satellite images and existing GIS data. In Q. Weng (Ed.), Global Urban Monitoring and Assessment through Earth Observation (pp. 122-142): CRC Press.
Global Rural-Urban Mapping Project (GRUMP) alpha (unspecified)
NASA REMOTE SENSING (ASTER)
NASA REMOTE SENSING (MODIS)

Miyazaki, H., Shibasaki, R., & Nagai, M. (2016, 10-15 July 2016). An automated method for time-series human settlement mapping using Landsat data and existing land cover maps. Paper presented at the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (Landsat)

Moehl, J. J., Rose, A. N., & Bright, E. A. (2016). Spatializing global urban extent: A source driven approach. Paper presented at the International Conference on GIScience. https://doi.org/10.21433/B3115hp8t2q3
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Mohaghegh, M. S., Dinan, N. M., Vafaeinejad, A., Sobhanardakani, S., & Monavari, S. M. (2022). Carbon sequestration potential as affected by air quality parameters and landscape metrics under urbanization. Arabian Journal of Geosciences, 15(14), 1254. doi:10.1007/s12517-022-10535-2
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (Landsat)

Mohr, M., Edwards, C., & McCarthy, B. (2008). A study of LBS accuracy in the UK and a novel approach to inferring the positioning technology employed. Computer Communications, 31(6), 1148-1159. doi:10.1016/j.comcom.2008.01.039 
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Mondal, P., Jain, M., Zukowski, M., Galford, G., & DeFries, R. (2016). Quantifying fluctuations in winter productive cropped area in the Central Indian Highlands. Regional Environmental Change, 16(Supplement 1), 69-82. doi:10.1007/s10113-016-0946-y
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
NASA REMOTE SENSING (MODIS - MOD11A2)
NASA REMOTE SENSING (TRMM)

Mondal, P., & Tatem, A. J. (2012). Uncertainties in measuring populations potentially impacted by sea level rise and coastal flooding. PLoS ONE, 7(10), e48191. doi:10.1371/journal.pone.0048191
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (SRTM)

Monteiro, J., Martins, B., Costa, M., & Pires, J. M. (2021). Geospatial data disaggregation through self-trained encoder–decoder convolutional models. ISPRS International Journal of Geo-Information, 10(9), 619. doi:10.3390/ijgi10090619
Gridded Population of the World (GPW) v4 (Doxsey-Whitfield et al. paper - data set unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)
REMOTE SENSING (VIIRS DNB)

Montgomery, M., & Balk, D. (2011). The Urban Transition in Developing Countries:  Demography Meets Geography. In E. L. Birch & S. M. Wachter (Eds.), Global Urbanization (pp. 89-106): University of Pennsylvania.
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Montgomery, M. R. (2008). The Demography of the Urban Transition:  What We Know and Don't Know. In G. Martine, G. McGranahan, M. R. Montgomery, & R. Fernandez-Castilla (Eds.), The New Global Frontier:  Urbanization, Poverty and Environment in the 21st Century (pp. 17-36): EarthScan.
Global Rural-Urban Mapping Project (GRUMP) alpha (unspecified)

Montgomery, M. R. (2008). The urban transformation of the developing world. Science, 319(5864), 761-764. doi:10.1126/science.1153012
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Monti, S. (2020). Nature-Inclusive Cities: Concepts and Considerations. In R. Roggema (Ed.), Nature Driven Urbanism (pp. 225-247). Cham: Springer International Publishing.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Moore, N., Alagarswamy, G., Pijanowski, B., Thornton, P., Lofgren, B., Olson, J., . . . Qi, J. (2012). East African food security as influenced by future climate change and land use change at local to regional scales. Climatic Change, 110(3), 823-844. doi:10.1007/s10584-011-0116-7
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Morell, K. D., Regalla, C., Leonard, L. J., Amos, C., & Levson, V. (2017). Quaternary ruptureof a crustal fault beneath Victoria, British Columbia, Canada. GSA Today, 27(3), 4-10. doi:10.1130/GSATG291A.1
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006) map

Morgan, B. J., Abwe, E. E., Dixson, A. F., & Astaras, C. (2013). The distribution, status, and conservation outlook of the Drill (Mandrillus leucophaeus) in Cameroon. International Journal of Primatology, 34(2), 281-302. doi:10.1007/s10764-013-9661-4
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (SRTM)

Moriconi-Ebrard, F., Denis, E., & Marius-Gnanou, K. (2010). Repenser la géographie économique ». Les arrangements du rapport de la Banque Mondiale avec les sciences géographiques urbaines. Cybergeo: European Journal of Geography(569). Retrieved from http://journals.openedition.org/cybergeo/23144
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Morisseau, F. (2011). North Adriatic Sea Marine Protected Areas, assessment of current situation, potential pressures and synergies in an ICZM context. Retrieved from http://www.pegasoproject.eu/images/stories/pegaso.pdf
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)

Morris, J., & Barron, J. (2014). Agricultural Water Management Technology Expansion and Impact on Crop Yields in Northern Burkina Faso (1980-2010): A Review. Retrieved from Pelawatta, Battaramulla, Sri Lanka: http://r4d.dfid.gov.uk/pdf/outputs/WaterfoodCP/CPWF-R4D10.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Moucheraud, C. (2018). Service readiness for noncommunicable diseases was low In five countries In 2013–15. Health Affairs, 37(8), 1321-1330. doi:10.1377/hlthaff.2018.0151
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Mousa, A., Al-Taiar, A., Anstey, N. M., Badaut, C., Barber, B. E., Bassat, Q., . . . Okell, L. C. (2020). The impact of delayed treatment of uncomplicated P. falciparum malaria on progression to severe malaria: A systematic review and a pooled multicentre individual-patient meta-analysis. PLoS Medicine, 17(10), e1003359. doi:10.1371/journal.pmed.1003359
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Mshelbwala, P. P., J. Soares Magalhães, R., Weese, J. S., Ahmed, N. O., Rupprecht, C. E., & Clark, N. J. (2023). Modelling modifiable factors associated with the probability of human rabies deaths among self-reported victims of dog bites in Abuja, Nigeria. PLoS Neglected Tropical Diseases, 17(2), e0011147. doi:10.1371/journal.pntd.0011147
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Mshelbwala, P. P., Weese, J. S., Clark, N. J., Tekki, I., Chakma, S., Shamaki, D., . . . Soares Magalhães, R. J. (2022). Spatiotemporal heterogeneity and determinants of canine rabies evidence at Local Government Area Level in Nigeria: Implications for rabies prevention and control. One Health, 14, 100378. doi:10.1016/j.onehlt.2022.100378
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Muinde, J. M., Chandra Bhanu, D. R., Neumann, R., Oduor, R. O., Kanja, W., Kimani, J. K., . . . Wetton, J. H. (2021). Geographical and linguistic structure in the people of Kenya demonstrated using 21 autosomal STRs. Forensic Science International: Genetics, 53, 102535. doi:10.1016/j.fsigen.2021.102535
Global Rural-Urban Mapping Project (GRUMP) v1 (map)

Muis, S., Güneralp, B., Jongman, B., Aerts, J. C. J. H., & Ward, P. J. (2015). Flood risk and adaptation strategies under climate change and urban expansion: A probabilistic analysis using global data. Science of The Total Environment, 538, 445-457. doi:10.1016/j.scitotenv.2015.08.068
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Muis, S., Verlaan, M., Nicholls, R. J., Brown, S., Hinkel, J., Lincke, D., . . . Ward, P. J. (2017). A comparison of two global datasets of extreme sea levels and resulting flood exposure. Earth's Future, 5(4), 379-392. doi:10.1002/2016EF000430
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Muis, S., Verlaan, M., Winsemius, H. C., Aerts, J. C. J. H., & Ward, P. J. (2016). A global reanalysis of storm surges and extreme sea levels. Nature Communications, 7(11969), 11 pp. doi:10.1038/ncomms11969
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (SRTM)

Müller-Crepon, C., & Hunziker, P. (2018). New spatial data on ethnicity: Introducing SIDE. Journal of Peace Research, 55(5), 687-698. doi:10.1177/0022343318764254
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Mulligan, M., Burke, S., & Douglas, C. (2014). Environmental Change and Migration Between Europe and Its Neighbours. In E. Piguet & F. Laczko (Eds.), People on the Move in a Changing Climate (Vol. 2, pp. 49-79): Springer Netherlands.
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Muntaseer Billah Ibn Azkar, M. A., Chatani, S., & Sudo, K. (2012). Simulation of urban and regional air pollution in Bangladesh. Journal of Geophysical Research: Atmospheres, 117(D7), D07303. doi:10.1029/2011jd016509
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (OMI)
NASA REMOTE SENSING (MODIS)

Muntean, M., Janssens-Maenhout, G., Song, S., Selin, N. E., Olivier, J. G. J., Guizzardi, D., . . . Dentener, F. (2014). Trend analysis from 1970 to 2008 and model evaluation of EDGARv4 global gridded anthropogenic mercury emissions. Science of The Total Environment, 494–495, 337-350. doi:10.1016/j.scitotenv.2014.06.014
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Murakami, D., & Yamagata, Y. (2019). Estimation of gridded population and GDP scenarios with spatially explicit statistical downscaling. Sustainability, 11(7), 2106. doi:10.3390/su11072106
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Murakami, D., & Yamagata, Y. (2020). Chapter Ten - Spatial scenario creation based on downscale methods. In Y. Yamagata & H. Seya (Eds.), Spatial Analysis Using Big Data (pp. 259-270): Academic Press.
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (MODIS)

Mussetti, G., Brunner, D., Henne, S., Allegrini, J., Krayenhoff, E. S., Schubert, S., . . . Carmeliet, J. (2020). COSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees. Geoscientific Model Development, 13, 1685-1710. doi:10.5194/gmd-13-1685-2020
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Global High Resolution Urban Data from Landsat (GMIS)
NASA REMOTE SENSING (ASTER GDEM)

Muyanga, M., & Jayne, T. S. (2014). Effects of rising rural population density on smallholder agriculture in Kenya. Food Policy, 48, 98-113. doi:10.1016/j.foodpol.2014.03.001
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Muzzini, E., & Aparacio, G. (2013). Envisioning the Future: A Competitive Urban Space for Growth. In E. Muzzini & G. Aparacio (Eds.), Bangladesh: The Path to Middle-Income Status from an Urban Perspective (pp. 41-49). Washington: World Bank.
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Myroshnychenko, V., Ray, N., Lehmann, A., Giuliani, G., Kideys, A., Weller, P., & Teodor, D. (2015). Environmental data gaps in Black Sea catchment countries: INSPIRE and GEOSS State of Play. Environmental Science & Policy, 46, 13-25. doi:10.1016/j.envsci.2014.04.001
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (ASTER GDEM)
GEOSS
INSPIRE

Nabuurs, G. J., Thürig, E., Heidema, N., Armolaitis, K., Biber, P., Cienciala, E., . . . Vallet, P. (2008). Hotspots of the European forests carbon cycle. Forest Ecology and Management, 256(3), 194-200. doi:10.1016/j.foreco.2008.04.009
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Naeher, D., Narayanan, R., & Ziulu, V. (2021). Impacts of Energy Efficiency Projects in Developing Countries : Evidence from a Spatial Difference-in-Differences Analysis in Malawi. Retrieved from http://documents.worldbank.org/curated/en/360541636133634224/Impacts-of-Energy-Efficiency-Projects-in-Developing-Countries-Evidence-from-a-Spatial-Difference-in-Differences-Analysis-in-Malawi
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)
REMOTE SENSING (VIIRS DNB)

Naeher, D., Narayanan, R., & Ziulu, V. (2023). Impacts of energy efficiency projects in developing countries: Evidence from a spatial difference-in-differences analysis in Malawi. Energy for Sustainable Development, 73, 365-375. doi:10.1016/j.esd.2023.03.010
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)
REMOTE SENSING (VIIRS NTL)

Nagababu, G., Puppala, H., Pritam, K., & Kantipudi, M. V. V. P. (2022). Two-stage GIS-MCDM based algorithm to identify plausible regions at micro level to install wind farms: A case study of India. Energy, 248, 123594. doi:10.1016/j.energy.2022.123594
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Nagababu, G., Puppala, H., Pritam, K., & Prasad, K. M. V. V. (2022). Two-stage GIS-MCDM based algorithm to identify plausible regions at micro level to install wind farms: A case study of India. Energy, 248, 123594. doi:10.1016/j.energy.2022.123594
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Nam, K.-M., Selin, N. E., Reilly, J. M., & Paltsev, S. (2010). Measuring welfare loss caused by air pollution in Europe: A CGE analysis. Energy Policy, 38(9), 5059-5071. doi:10.1016/j.enpol.2010.04.034
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Nanni, A. S., Sloan, S., Aide, T. M., Graesser, J., Edwards, D., & Grau, H. R. (2019). The neotropical reforestation hotspots: A biophysical and socioeconomic typology of contemporary forest expansion. Global Environmental Change, 54, 148-159. doi:10.1016/j.gloenvcha.2018.12.001
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Nath, S., & Madhoo, Y. N. (2022). Emerging challenges in urban local finance. In Vanishing Borders of Urban Local Finance: Global Developments with Illustrations from Indian Federation (pp. 1-27). Singapore: Springer Nature Singapore.
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)

National Research Council. (2012). Himalayan Glaciers: Climate Change, Water Resources, and Water Security. Washington DC: The National Academies Press.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Naughton, C. C., Lovett, P. N., & Mihelcic, J. R. (2015). Land suitability modeling of shea (Vitellaria paradoxa) distribution across sub-Saharan Africa. Applied Geography, 58, 217-227. doi:10.1016/j.apgeog.2015.02.007
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Nelson, A., & Chomitz, K. M. (2011). Effectiveness of strict vs. multiple use protected areas in reducing tropical forest fires: A global analysis using matching methods. PLoS ONE, 6(8), e22722. doi:10.1371/journal.pone.0022722
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
NASA REMOTE SENSING (MODIS)

Nelson, A., Weiss, D. J., van Etten, J., Cattaneo, A., McMenomy, T. S., & Koo, J. (2019). A suite of global accessibility indicators. Scientific Data, 6(1), 266. doi:10.1038/s41597-019-0265-5
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points) - 10.7927/H4M906KR

Neumann, B., Vafeidis, A. T., Zimmermann, J., & Nicholls, R. J. (2015). Future coastal population growth and exposure to sea-level rise and coastal flooding - a global assessment. PLoS ONE, 10(3), e0118571. doi:10.1371/journal.pone.0118571
Gridded Population of the World (GPW) v3 (land and geographic unit area grids)
Gridded Population of the World (GPW) v3 (national boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
Global Rural-Urban Mapping Project (GRUMP) v1 (land and geographic area grids)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)

New, M., Anderson, K., Fung, F., & Thornton, P. K. (2011). SR8: The possible impacts of high levels of climate change in 2060 and implications for migration. Retrieved from London: http://webarchive.nationalarchives.gov.uk/20121212135622/http://bis.gov.uk/assets/foresight/docs/migration/science-reviews/11-1126-sr8-impact-high-levels-climate-change-2060-for-migration.pdf
http://www.bis.gov.uk/foresight/migration
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Newbold, T. (2018). Future effects of climate and land-use change on terrestrial vertebrate community diversity under different scenarios. Proceedings of the Royal Society B: Biological Sciences, 285(1881), 20180792. doi:10.1098/rspb.2018.0792
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Newbold, T., Hudson, L. N., Arnell, A. P., Contu, S., De Palma, A., Ferrier, S., . . . Purvis, A. (2016). Has land use pushed terrestrial biodiversity beyond the planetary boundary? A global assessment. Science, 353(6296), 288-291. doi:10.1126/science.aaf2201
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Newbold, T., Hudson, L. N., Contu, S., Hill, S. L. L., Beck, J., Liu, Y., . . . Purvis, A. (2018). Widespread winners and narrow-ranged losers: Land use homogenizes biodiversity in local assemblages worldwide. PLoS Biology, 16(12), e2006841. doi:10.1371/journal.pbio.2006841
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Newbold, T., Hudson, L. N., Hill, S. L. L., Contu, S., Lysenko, I., Senior, R. A., . . . Purvis, A. (2015). Global effects of land use on local terrestrial biodiversity. Nature, 520(7545), 45-50. doi:10.1038/nature14324
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Newbold, T., Hudson, L. N., Phillips, H. R. P., Hill, S. L. L., Contu, S., Lysenko, I., . . . Purvis, A. (2014). A global model of the response of tropical and sub-tropical forest biodiversity to anthropogenic pressures. Proceedings of the Royal Society B: Biological Sciences, 281(1792), 20141371. doi:10.1098/rspb.2014.1371
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS land cover (MOD13Q1))
NASA REMOTE SENSING (MODIS Vegetation Continuous Fields)

Nghiem, S. V., Balk, D., Rodriguez, E., Neumann, G., Sorichetta, A., Small, C., & Elvidge, C. D. (2009). Observations of urban and suburban environments with global satellite scatterometer data. ISPRS Journal of Photogrammetry and Remote Sensing, 64(4), 367-380. doi:10.1016/j.isprsjprs.2009.01.004
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
U.S. Census Grids (unspecified)
NASA REMOTE SENSING (QuikSCAT)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (Landsat ETM+)

Ngugi, A. K., Bottomley, C., Kleinschmidt, I., Sander, J. W., & Newton, C. R. (2010). Estimation of the burden of active and life-time epilepsy: A meta-analytic approach. Epilepsia, 51(5), 883-890. doi:10.1111/j.1528-1167.2009.02481.x
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Nicholls, R. J., Lincke, D., Hinkel, J., Brown, S., Vafeidis, A. T., Meyssignac, B., . . . Fang, J. (2021). A global analysis of subsidence, relative sea-level change and coastal flood exposure. Nature Climate Change, 11, 338-342. doi:10.1038/s41558-021-00993-z
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (TOPEX)
REMOTE SENSING (Jason)

Nichols, G., Andersson, Y., Lindgren, E., Devaux, I., & Semenza, J. (2014). European monitoring systems and data for assessing environmental and climate impacts on human infectious diseases. International Journal of Environmental Research and Public Health, 11(4), 3894-3936. doi:10.3390/ijerph110403894
Gridded Population of the World (GPW) v3 (collection)
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Last of the Wild v2 (Global Human Footprint (Geographic))
Socioeconomic Downscaled Projections (collection)
NASA REMOTE SENSING (ASTER)
NASA REMOTE SENSING (ASTER GDEM)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)
NASA REMOTE SENSING (OceanColor Web)
GCMD

Nieves, J. J., Stevens, F. R., Gaughan, A. E., Linard, C., Sorichetta, A., Hornby, G., . . . Tatem, A. J. (2017). Examining the correlates and drivers of human population distributions across low- and middle-income countries. Journal of the Royal Society Interface, 14(137), 20170401. doi:10.1098/rsif.2017.0401
Gridded Population of the World (GPW) v3 (Balk and Yetman)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Nkonya, E., Gerber, N., Baumgartner, P., von Braun, J., De Pinto, A., Graw, V., . . . Walter, T. (2011). The Economics of Desertification, Land Degradation, and Drought: Toward an Integrated Global Assessment. Retrieved from Washington DC: http://www.ifpri.org/publication/economics-desertification-land-degradation-and-drought
Gridded Population of the World (GPW) v1
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Nkonya, E., Johnson, T., Kwon, H. Y., & Kato, E. (2016). Economics of land degradation in Sub-Saharan Africa. In E. Nkonya, A. Mirzabaev, & J. von Braun (Eds.), Economics of Land Degradation and Improvement – A Global Assessment for Sustainable Development (pp. 215-259): Springer International Publishing.
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
NASA REMOTE SENSING (MODIS)

Nkonya, E., Koo, J., Kato, E., & Guo, Z. (2013). Trends and Patterns of Land Use Change and International Aid in Sub-Saharan Africa. Retrieved from Washington DC: http://www.wider.unu.edu/publications/working-papers/2013/en_GB/wp2013-110/
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Nohrstedt, D., Hileman, J., Mazzoleni, M., Di Baldassarre, G., & Parker, C. F. (2022). Exploring disaster impacts on adaptation actions in 549 cities worldwide. Nature Communications, 13(1), 3360. doi:10.1038/s41467-022-31059-z
Global Rural-Urban Mapping Project (GRUMP) v1 (National Administrative Boundaries)

Noor, A. M., Alegana, V. A., Gething, P. W., Tatem, A. J., & Snow, R. W. (2008). Using remotely sensed night-time light as a proxy for poverty in Africa. Population Health Metrics, 6(5), 13. doi:10.1186/1478-7954-6-5
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (DMSP-OLS)

Noor, A. M., Mutheu, J. J., Tatem, A. J., Hay, S. I., & Snow, R. W. (2009). Insecticide-treated net coverage in Africa: mapping progress in 2000-07. The Lancet, 373(9657), 58-67. doi:10.1016/S0140-6736(08)61596-2
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
REMOTE SENSING (DMSP-OLS)

Nori, J., Carrasco, P. A., & Leynaud, G. C. (2014). Venomous snakes and climate change: ophidism as a dynamic problem. Climatic Change, 122(1-2), 67-80. doi:10.1007/s10584-013-1019-6
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Notenbaert, A., Herrero, M., De Groote, H., You, L., Gonzalez-Estrada, E., & Blummel, M. (2013). Identifying recommendation domains for targeting dual-purpose maize-based interventions in crop-livestock systems in East Africa. Land Use Policy, 30(1), 834-846. doi:10.1016/j.landusepol.2012.06.016
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Notenbaert, A., Massawe, S., & Herrero, M. (2010). Mapping risk and vulnerability hotspots in the COMESA region: Technical Report. Retrieved from Nairobi: http://www.resakss.org/sites/default/files/pdfs/mapping-risk-and-vulnerability-hotspots-in-the-com-45171.pdf
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Nowak Da Costa, J., Calka, B., & Bielecka, E. (2021). Urban population flood impact applied to a Warsaw scenario. Resources, 10(6), 62. doi:10.3390/resources10060062
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Nsoesie, E. O., Kraemer, M. U. G., Golding, N., Pigott, D. M., Brady, O. J., Moyes, C. L., . . . Brownstein, J. S. (2016). Global distribution and environmental suitability for chikungunya virus, 1952 to 2015. Eurosurveillance, 21(20), 12 pp. doi:10.2807/1560-7917.ES.2016.21.20.30234
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Nunes, M. R. T., Faria, N. R., de Vasconcelos, J. M., Golding, N., Kraemer, M. U. G., de Oliveira, L. F., . . . Vasconcelos, P. F. d. C. (2015). Emergence and potential for spread of Chikungunya virus in Brazil. BMC Medicine, 13(102). doi:10.1186/s12916-015-0348-x
Gridded Population of the World (GPW) v3 (unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

O’Hanlon, S. J., Slater, H. C., Cheke, R. A., Boatin, B. A., Coffeng, L. E., Pion, S. D. S., . . . Basáñez, M.-G. (2016). Model-based geostatistical mapping of the prevalence of Onchocerca volvulus in West Africa. PLoS Neglected Tropical Diseases, 10(1), e0004328. doi:10.1371/journal.pntd.0004328
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS EVI)

Oh, E.-Y., Ansell, C., Nawaz, H., Yang, C.-H., Wood, P., & Hrushesky, W. (2010). Global breast cancer seasonality. Breast Cancer Research and Treatment, 123(1), 233-243. doi:10.1007/s10549-009-0676-7
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Oh, S.-G., Han, J.-Y., Min, S.-K., & Son, S.-W. (2023). Impact of urban heat island on daily and sub-daily monsoon rainfall variabilities in East Asian megacities. Climate Dynamics, 61, 19-32. doi:10.1007/s00382-022-06556-y
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

Oh, S.-G., Son, S.-W., & Min, S.-K. (2021). Possible impact of urbanization on extreme precipitation–temperature relationship in East Asian megacities. Weather and Climate Extremes, 34, 100401. doi:10.1016/j.wace.2021.100401
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

O'Higgins, T., Farmer, A., Daskalov, G., Knudsen, S., & Mee, L. (2014). Achieving good environmental status in the Black Sea: Scale mismatches in environmental management. Ecology and Society, 19(3). doi:10.5751/es-06707-190354
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Olén, N. B., & Lehsten, V. (2022). High-resolution global population projections dataset developed with CMIP6 RCP and SSP scenarios for year 2010–2100. Data in Brief, 40, 107804. doi:10.1016/j.dib.2022.107804
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (National Administrative Boundaries)

Oliveira, E. A., Andrade, J. S., & Makse, H. A. (2014). Large cities are less green. Scientific Reports, 4(4235), 12. doi:10.1038/srep04235
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Oliveira, E. A., Furtado, V., Andrade, J. S., & Makse, H. A. (2018). A worldwide model for boundaries of urban settlements. Royal Society Open Science, 5(5), 180468. doi:10.1098/rsos.180468
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Olivero, J., Fa, J. E., Real, R., Márquez, A. L., Farfán, M. A., Vargas, J. M., . . . Nasi, R. (2017). Recent loss of closed forests is associated with Ebola virus disease outbreaks. Scientific Reports, 7(14291), 9pp. doi:10.1038/s41598-017-14727-9
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points) - 10.7927/H4M906KR
NASA REMOTE SENSING (MODIS)

O'Loughlin, J., Witmer, F., & Linke, A. (2010). The Afghanistan-Pakistan wars, 2008-2009: Micro-geographies, conflict diffusion, and clusters of violence. Eurasian Geography and Economics, 51(4), 437-471. doi:10.2747/1539-7216.51.4.437
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Oluwole, A. S., Ekpo, U. F., Karagiannis-Voules, D.-A., Abe, E. M., Olamiju, F. O., Isiyaku, S., . . . Vounatsou, P. (2015). Bayesian geostatistical model-based estimates of soil-transmitted helminth infection in Nigeria, including annual deworming requirements. PLoS Neglected Tropical Diseases, 9(4), e0003740. doi:10.1371/journal.pntd.0003740
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Omumbo, J. A., Guerra, C. A., Hay, S. I., & Snow, R. W. (2005). The influence of urbanisation on measures of Plasmodium falciparum infection prevalence in East Africa. Acta Tropica, 93(1), 11-21. doi:10.1016/j.actatropica.2004.08.010
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

O'Neill, D. W., & Abson, D. J. (2009). To settle or protect? A global analysis of net primary production in parks and urban areas. Ecological Economics, 69(2), 319-327. doi:10.1016/j.ecolecon.2009.08.028
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Oro, D., Genovart, M., Tavecchia, G., Fowler, M. S., & Martínez-Abraín, A. (2013). Ecological and evolutionary implications of food subsidies from humans. Ecology Letters, 16(12), 1501-1514. doi:10.1111/ele.12187
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Ortega, A. A., Acielo, J. M. A. E., & Hermida, M. C. H. (2015). Mega-regions in the Philippines: Accounting for special economic zones and global-local dynamics. Cities, 48, 130-139. doi:10.1016/j.cities.2015.07.002
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Ouyang, Z., Fan, P., & Chen, J. (2016). Urban built-up areas in transitional economies of Southeast Asia: Spatial extent and dynamics. Remote Sensing, 8(10), 19 pp. doi:10.3390/rs8100819
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (Landsat)
REMOTE SENSING (DMSP-OLS)

Ouyang, Z., Fan, P., Chen, J., Lafortezza, R., Messina, J. P., Giannico, V., & John, R. (2019). A Bayesian approach to mapping the uncertainties of global urban lands. Landscape and Urban Planning, 187, 210-218. doi:10.1016/j.landurbplan.2018.07.016
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population and Land Area Estimates, v2)

Owusu, S., Mul, M. L., Ghansah, B., Osei-Owusu, P. K., Awotwe-Pratt, V., & Kadyampakeni, D. (2017). Assessing land suitability for aquifer storage and recharge in northern Ghana using remote sensing and GIS multi-criteria decision analysis technique. Modeling Earth Systems and Environment, 3(4), 1383-1393. doi:10.1007/s40808-017-0360-6
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006) population count

Padowski, J. C., Carrera, L., & Jawitz, J. W. (2016). Overcoming urban water insecurity with infrastructure and institutions. Water Resources Management, 30(13), 4913-4926. doi:10.1007/s11269-016-1461-0
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Palacios-Lopez, D., Bachofer, F., Esch, T., Heldens, W., Hirner, A., Marconcini, M., . . . Reinartz, P. (2019). New perspectives for mapping global population distribution using world settlement footprint products. Sustainability, 11(21), 6056. doi:10.3390/su11216056
Gridded Population of the World (GPW) v4.11 (population count UN WPP-adjusted)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (Sentinel-1 SAR)
REMOTE SENSING (Landsat 8)

Palacios-Lopez, D., Bachofer, F., Esch, T., Marconcini, M., MacManus, K., Sorichetta, A., . . . Reinartz, P. (2021). High-resolution gridded population datasets: Exploring the capabilities of the World Settlement Footprint 2019 imperviousness layer for the African continent. Remote Sensing, 13(6), 1142. doi:10.3390/rs13061142
Gridded Population of the World (GPW) v4 (documentation)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Sentinel-1)
REMOTE SENSING (Sentinel-2)

Palmas, S., & Chamberlin, J. (2020). Fertilizer profitability for smallholder maize farmers in Tanzania: A spatially-explicit ex ante analysis. PLoS ONE, 15(9), e0239149. doi:10.1371/journal.pone.0239149
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points)

Pandey, B., Joshi, P. K., & Seto, K. C. (2013). Monitoring urbanization dynamics in India using DMSP/OLS night time lights and SPOT-VGT data. International Journal of Applied Earth Observation and Geoinformation, 23, 49-61. doi:10.1016/j.jag.2012.11.005
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (SPOT-VGT)

Paredes-Beltran, B., Sordo-Ward, A., & Garrote, L. (2021). Dataset of Georeferenced Dams in South America (DDSA). Earth System Science Data, 13, 213-229. doi:10.5194/essd-13-213-2021
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Parrado, R., Bosello, F., Delpiazzo, E., Hinkel, J., Lincke, D., & Brown, S. (2020). Fiscal effects and the potential implications on economic growth of sea-level rise impacts and coastal zone protection. Climatic Change, 160, 283-302. doi:10.1007/s10584-020-02664-y
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Parshall, L., Gurney, K., Hammer, S. A., Mendoza, D., Zhou, Y., & Geethakumar, S. (2010). Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States. Energy Policy, 38(9), 4765-4782. doi:10.1016/j.enpol.2009.07.006
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Patel, N. N., Angiuli, E., Gamba, P., Gaughan, A. E., Lisini, G., Stevens, F. R., . . . Trianni, G. (2015). Multitemporal settlement and population mapping from Landsat using Google Earth Engine. International Journal of Applied Earth Observation and Geoinformation, 35, Part B, 199-208. doi:10.1016/j.jag.2014.09.005
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (Landsat)

Patel, N. N., Stevens, F. R., Huang, Z., Gaughan, A. E., Elyazar, I., & Tatem, A. J. (2017). Improving large area population mapping using geotweet densities. Transactions in GIS, 21(2), 317-331. doi:10.1111/tgis.12214
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Patouillard, E., Griffin, J., Bhatt, S., Ghani, A., & Cibulskis, R. (2017). Global investment targets for malaria control and elimination between 2016 and 2030. BMJ Global Health, 2(2), 12 pp. doi:10.1136/bmjgh-2016-000176
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Pedersen, U. B., Karagiannis-Voules, D.-A., Midzi, N., Mduluza, T., Mukaratirwa, S., Fensholt, R., . . . Stensgaard, A.-S. (2017). Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: Is climate variability of importance? Geospatial Health, 12(1), 59-66. doi:10.4081/gh.2017.505
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Last of the Wild v2 (Global Human Footprint (Geographic))
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (AVHRR GIMMS NDVI)

Pedersen Zari, M. (2019). Devising urban biodiversity habitat provision goals: Ecosystem services analysis. Forests, 10(5), 391. doi:10.3390/f10050391
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Pedersen Zari, M., MacKinnon, M., Varshney, K., & Bakshi, N. (2022). Regenerative living cities and the urban climate–biodiversity–wellbeing nexus. Nature Climate Change, 12(7), 601-604. doi:10.1038/s41558-022-01390-w
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Pekin, B. K. (2016). Anthropogenic and topographic correlates of natural vegetation cover within agricultural landscape mosaics in Turkey. Land Use Policy, 54, 313-320. doi:10.1016/j.landusepol.2016.02.029
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Penny, M., Maire, N., Bever, C., Pemberton-Ross, P., Briet, O., Smith, D. L., . . . Smith, T. (2015). Distribution of malaria exposure in endemic countries in Africa considering country levels of effective treatment. Malaria Journal, 14(1), 384. doi:10.1186/s12936-015-0864-3
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Penny, M., Pemberton-Ross, P., & Smith, T. (2015). The time-course of protection of the RTS,S vaccine against malaria infections and clinical disease. Malaria Journal, 14(1), 437. doi:10.1186/s12936-015-0969-8
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Perez, M., & Perez, R. (2015). A fundamental look at supply side energy reserves for the planet. Solar Update - Newsletter of the International Energy Agency Solar Heating and Cooling Programme, 62(November), 4-6. Retrieved from http://www.iea-shc.org/data/sites/1/publications/2015-11-Solar-Update-Newsletter.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Perra, N., & Gonçalves, B. (2015). Modeling and predicting human infectious diseases. In B. Gonçalves & N. Perra (Eds.), Social Phenomena (pp. 59-83): Springer International Publishing.
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Perry, C. (2013). Machine learning and conflict prediction: A use case. Stability: International Journal of Security and Development, 2(3), 56. doi:10.5334/sta.cr
Global Agricultural Lands (Cropland)
Global Agricultural Lands (Pasture)
Gridded Population of the World (GPW) v3 (population count future estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (National Administrative Boundaries)
Natural Disaster Hotspots (multihazard frequency and distribution)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled GDP Based on the SRES B2 Scenario, v1)

Petrozzi, F., Hema, E. M., Hoinsoudé Ségniagbeto, G., Amadi, N., Akani, G. C., Burke, R. L., . . . Luiselli, L. (2019). Correlates of African Spurred Tortoise, Centrochelys sulcata, occurrence in the West African Sahel. Chelonian Conservation and Biology, 18(1), 19-23. doi:10.2744/ccb-1302.1
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points) - 10.7927/H4BC3WG1

Petrozzi, F., Hema, E. M., Sirima, D., Segniagbeto, G. H., Akani, G. C., Eniang, E. A., . . . Luiselli, L. (2020). Tortoise ecology in the West African savannah: Multi-scale habitat selection and activity patterns of a threatened giant species, and its ecological relationships with a smaller-sized species. Acta Oecologica, 105, 103572. doi:10.1016/j.actao.2020.103572
Gridded Population of the World (GPW) v3 (population density) - 10.7927/H4XK8CG2
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points) - 10.7927/H4M906KR

Pfaff, A., Santiago-Ávila, F., & Joppa, L. N. (2017). Evolving protected-area impacts in Mexico: Political shifts as suggested by impact evaluations. Forests, 8(1), 17. doi:10.3390/f8010017
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Piel, F. B., Howes, R. E., Patil, A. P., Nyangiri, O. A., Gething, P. W., Bhatt, S., . . . Hay, S. I. (2013). The distribution of haemoglobin C and its prevalence in newborns in Africa. Scientific Reports, 3(1671). doi:10.1038/srep01671
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Piel, F. B., Patil, A. P., Howes, R. E., Nyangiri, O. A., Gething, P. W., Dewi, M., . . . Hay, S. I. (2013). Global epidemiology of sickle haemoglobin in neonates: a contemporary geostatistical model-based map and population estimates. The Lancet, 381(9861), 142-151. doi:10.1016/S0140-6736(12)61229-X
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Pigott, D. M., Deshpande, A., Letourneau, I., Morozoff, C., Reiner, R. C., Kraemer, M. U. G., . . . Hay, S. I. (2017). Local, national, and regional viral haemorrhagic fever pandemic potential in Africa: a multistage analysis. The Lancet, 390(10113), 2662-2672. doi:10.1016/S0140-6736(17)32092-5
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Pitman, J. P., Wilkinson, R., Basavaraju, S. V., von Finckenstein, B., Smit Sibinga, C., Marfin, A. A., . . . Lowrance, D. W. (2014). Investments in blood safety improve the availability of blood to underserved areas in a sub-Saharan African country. ISBT Science Series, 9(2), 325-333. doi:10.1111/voxs.12107
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Pittore, M., Wieland, M., & Fleming, K. (2014). Perspectives of a Global, Dynamic Exposure Model for Geo-risk Assessment from Remote Sensing to Crowd-Sourcing - Input paper prepared for the Global Assessment Report on Disaster Risk Reduction 2015. Retrieved from Potsdam, Germany: http://www.preventionweb.net/english/hyogo/gar/2015/en/bgdocs/inputs/Pittore%20et%20al.,%202014.%20Perspectives%20of%20a%20global,%20dynamic%20exposure%20model%20for%20geo-risk%20assessment.pdf
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Pleßmann, G., Erdmann, M., Hlusiak, M., & Breyer, C. (2014). Global energy storage demand for a 100% renewable electricity supply. Energy Procedia, 46, 22-31. doi:10.1016/j.egypro.2014.01.154
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Podschwit, H., Jolly, W., Alvarado, E., Markos, A., Verma, S., Barreto-Rivera, S., . . . Ponce-Vigo, B. (2023). Estimating the effects of meteorology and land cover on fire growth in Peru using a novel difference equation model. Natural Hazards and Earth System Sciences, 23(7), 2607-2624. doi:10.5194/nhess-23-2607-2023
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Potere, D., & Schneider, A. (2007). A critical look at representations of urban areas in global maps. GeoJournal, 69(1), 55-80. doi:10.1007/s10708-007-9102-z
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
NASA REMOTE SENSING (MODIS)

Potere, D., & Schneider, A. (2009). Comparison of Global Urban Maps. In P. Gamba & M. Herold (Eds.), Global Mapping of Human Settlement: Experiences, Datasets, and Prospects (pp. 269-308). Boca Raton: CRC Press.
Global Rural-Urban Mapping Project (GRUMP) alpha (unspecified)

Potere, D., Schneider, A., Angel, S., & Civco, D. L. (2009). Mapping urban areas on a global scale: which of the eight maps now available is more accurate? International Journal of Remote Sensing, 30(24), 6531-6558. doi:10.1080/01431160903121134
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Pradhan, P., Fischer, G., van Velthuizen, H., Reusser, D. E., & Kropp, J. P. (2015). Closing yield gaps: How sustainable can we be? PLoS ONE, 10(6), e0129487. doi:10.1371/journal.pone.0129487
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Prain, G. (2022). Potential of Urban and Peri-urban Agriculture in the Global South: Priority Investments for Innovation. Retrieved from Colombo, Sri Lanka: https://wle.cgiar.org/cosai/sites/default/files/CoSAI_Urban_peri-urban_agriculture_0.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points) - 10.7927/H4M906KR

Prayitno, A., Taurel, A.-F., Nealon, J., Satari, H. I., Karyanti, M. R., Sekartini, R., . . . Hadinegoro, S. R. (2017). Dengue seroprevalence and force of primary infection in a representative population of urban dwelling Indonesian children. PLoS Neglected Tropical Diseases, 11(6), e0005621. doi:10.1371/journal.pntd.0005621
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Prestele, R., Hirsch, A. L., Davin, E. L., Seneviratne, S. I., & Verburg, P. H. (2018). A spatially explicit representation of conservation agriculture for application in global change studies. Global Change Biology, 24(9), 4038-4053. doi:10.1111/gcb.14307
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Pricope, N. G., Daldegan, G. A., Zvoleff, A., Mwenda, K. M., Noon, M., & Lopez-Carr, D. (2023). Operationalizing an integrative socio-ecological framework in support of global monitoring of land degradation. Land Degradation & Development, 34(1), 109-124. doi:10.1002/ldr.4447
Anthropogenic Biomes of the World (collection)
Food Security (Food Insecurity Hotspots Data Set, v1)
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Satellite-Derived Environmental Indicators (Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE), v1)
NASA REMOTE SENSING (AVHRR GIMMS)
NASA REMOTE SENSING (MODIS)

Pricope, N. G., Husak, G., Lopez-Carr, D., Funk, C., & Michaelsen, J. (2013). The climate-population nexus in the East African Horn: Emerging degradation trends in rangeland and pastoral livelihood zones. Global Environmental Change, 23(6), 1525-1541. doi:10.1016/j.gloenvcha.2013.10.002
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
NASA REMOTE SENSING (MODIS - MOD12Q1)
REMOTE SENSING (AVHRR NDVI)

Prosser, D. J., Wu, J., Ellis, E. C., Gale, F., Van Boeckel, T. P., Wint, G. R. W., . . . Gilbert, M. (2011). Modelling the distribution of chickens, ducks, and geese in China. Agriculture, Ecosystems & Environment, 141(3-4), 381-389. doi:10.1016/j.agee.2011.04.002
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
NASA REMOTE SENSING (MODIS)

Pullan, R. L., & Brooker, S. J. (2012). The global limits and population at risk of soil-transmitted helminth infections in 2010. Parasites & Vectors, 5(81). doi:10.1186/1756-3305-5-81
Gridded Population of the World (GPW) v3
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
REMOTE SENSING (MERIS GlobCover)

Purohit, P., Amann, M., Kiesewetter, G., Rafaj, P., Chaturvedi, V., Dholakia, H. H., . . . Sander, R. (2019). Mitigation pathways towards national ambient air quality standards in India. Environment International, 133, 105147. doi:10.1016/j.envint.2019.105147
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Purvis, A., Newbold, T., De Palma, A., Contu, S., Hill, S. L. L., Sanchez-Ortiz, K., . . . Scharlemann, J. P. W. (2018). Modelling and Projecting the Response of Local Terrestrial Biodiversity Worldwide to Land Use and Related Pressures: The PREDICTS Project. In D. A. Bohan, A. J. Dumbrell, G. Woodward, & M. Jackson (Eds.), Advances in Ecological Research (Vol. 58, pp. 201-241): Academic Press.
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT

Qader, S., Lefebvre, V., Tatem, A., Pape, U., Himelein, K., Ninneman, A., . . . Bird, T. (2021). Semi-automatic mapping of pre-census enumeration areas and population sampling frames. Humanities and Social Sciences Communications, 8(1), 3. doi:10.1057/s41599-020-00670-0
Gridded Population of the World (GPW) v4.10 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Qader, S. H., Lefebvre, V., Tatem, A. J., Pape, U., Jochem, W., Himelein, K., . . . Bird, T. (2020). Using gridded population and quadtree sampling units to support survey sample design in low-income settings. International Journal of Health Geographics, 19(1), 10. doi:10.1186/s12942-020-00205-5
Gridded Population of the World (GPW) v4 (admin unit center points with population estimates) - 10.7927/H4F47M2C
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Qi, Q., Guerra, C. A., Moyes, C., Elyazar, I., Gething, P. W., Hay, S. I., & Tatem, A. J. (2012). The effects of urbanization on global Plasmodium vivax malaria transmission. Malaria Journal, 11(1), 403. doi:10.1186/1475-2875-11-403
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS land cover)
REMOTE SENSING (AVHRR)
REMOTE SENSING (DMSP-OLS)

Qin, H., & Liao, T. F. (2016). The association between rural–urban migration flows and urban air quality in China. Regional Environmental Change, 16(5), 1375-1387. doi:10.1007/s10113-015-0865-3
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Qin, H., Romero-Lankao, P., Hardoy, J., & Rosas-Huerta, A. (2015). Household responses to climate-related hazards in four Latin American cities: A conceptual framework and exploratory analysis. Urban Climate, 14(Part 1), 94-110. doi:10.1016/j.uclim.2015.05.003
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points map)

Qiu, T., Song, C., Zhang, Y., Liu, H., & Vose, J. M. (2020). Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities. Remote Sensing of Environment, 236, 111477. doi:10.1016/j.rse.2019.111477
Gridded Population of the World (GPW) v4.10 (population count) - 10.7927/H4PG1PPM
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF
NASA (MEaSUREs Vegetation Index and Phenology (VIP))
REMOTE SENSING (Landsat)

Qiu, Y., Zhao, X., Fan, D., Li, S., & Zhao, Y. (2022). Disaggregating population data for assessing progress of SDGs: methods and applications. International Journal of Digital Earth, 15(1), 2-29. doi:10.1080/17538947.2021.2013553
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Quax, R., Bader, D. A., & Sloot, P. M. A. (2011). SEECN: Simulating complex systems using dynamic complex networks. International Journal for Multiscale Computational Engineering, 9(2), 201-214. doi:10.1615/IntJMultCompEng.v9.i2.50
Global Rural-Urban Mapping Project (GRUMP) alpha (unspecified)

Querini, F., Morel, S., Boch, V., & Rousseaux, P. (2011). USEtox relevance as an impact indicator for automotive fuels. Application on diesel fuel, gasoline and hard coal electricity. The International Journal of Life Cycle Assessment, 16(8), 829-840. doi:10.1007/s11367-011-0319-1
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Quiros, C., Thornton, P. K., Herrero, M., Notenbaert, A., & Gonzalez-Estrada, E. (2009). GOBLET: An open-source geographic overlaying database and query module for spatial targeting in agricultural systems. Computers and Electronics in Agriculture, 68(1), 114-128. doi:10.1016/j.compag.2009.05.001
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Raciti, S. M., Hutyra, L., Rao, P., & Finzi, A. C. (2012). Inconsistent definitions of 'urban' result in different conclusions about the size of urban carbon and nitrogen stocks. Ecological Applications, 22(3), 1015-1035. doi:10.1890/11-1250.1
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Rafaj, P., Kiesewetter, G., Gül, T., Schöpp, W., Cofala, J., Klimont, Z., . . . Cozzi, L. (2018). Outlook for clean air in the context of sustainable development goals. Global Environmental Change, 53, 1-11. doi:10.1016/j.gloenvcha.2018.08.008
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF

Raleigh, C., & Urdal, H. (2007). Climate change, environmental degradation and armed conflict. Political Geography, 26(6), 674-694. doi:10.1016/j.polgeo.2007.06.005
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Ramankutty, N. (2004). Croplands in West Africa: A geographically explicit dataset for use in models. Earth Interactions, 8(23), 1-22. doi:10.1175/1087-3562(2004)8%3C1:CIWAAG%3E2.0.CO;2
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Ramieri, E., Hartley, A., Barbanti, A., Duarte Santos, F., Laihonen, P., Marinova, N., & Santini, M. (2011). Methods for assessing coastal vulnerability to climate change. Retrieved from Bologna, Italy: http://climate-adapt.eea.europa.eu/metadata/publications/methods-for-assessing-coastal-vulnerability-to-climate-change-etc-cca-technical-paper-1-2011
Gridded Population of the World (GPW) v3
Global Rural-Urban Mapping Project (GRUMP) v1
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)

Ramírez, C. D., Orrego, S. A., & Schneider, L. C. (2018). Identifying drivers and spatial patterns of deforestation in the Rio Grande Basin, Colombia. Journal of Latin American Geography, 17(1), 108-138. doi:10.1353/lag.2018.0005
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (Landsat)

Ramirez-Reyes, C., Brauman, K. A., Chaplin-Kramer, R., Galford, G. L., Adamo, S. B., Anderson, C. B., . . . Wright, T. M. (2019). Reimagining the potential of earth observations for ecosystem services assessments. Science of The Total Environment, 665, 1053-1063. doi:10.1016/j.scitotenv.2019.02.150
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (many)

Rankin, B. (2008). Population histograms.  Retrieved from http://www.radicalcartography.net/index.html?your-hemisphere
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Rankin, B. (2015). How much of humanity is in  your hemisphere?  Retrieved from http://www.radicalcartography.net/index.html?your-hemisphere
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Rasquinha, D. N., & Sankaran, M. (2016). Modelling biome shifts in the Indian subcontinent under scenarios of future climate change. Current Science, 111, 147-156. Retrieved from http://www.currentscience.ac.in/cs/php/toc.php?vol=111&issue=01
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Ray, N., & Ebener, S. (2008). AccessMod 3.0: computing geographic coverage and accessibility to health care services using anisotropic movement of patients. International Journal of Health Geographics, 7(1), 63. doi:10.1186/1476-072X-7-63
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Reba, M., & Seto, K. C. (2020). A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change. Remote Sensing of Environment, 242, 111739. doi:10.1016/j.rse.2020.111739
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)

Reed, F., Gaughan, A., Stevens, F., Yetman, G., Sorichetta, A., & Tatem, A. (2018). Gridded population maps informed by different built settlement products. Data, 3(3), 33. doi:10.3390/data3030033
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Reibel, M. (2007). Geographic information systems and spatial data processing in demography: a review. Population Research and Policy Review, 26(5), 601-618. doi:10.1007/s11113-007-9046-5
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Reid, H., Haque, U., Clements, A. C. A., Tatem, A. J., Vallely, A., Ahmed, S. M., . . . Haque, R. (2010). Mapping malaria risk in Bangladesh using bayesian geostatistical models. American Journal of Tropical Medicine and Hygiene, 83(4), 861-867. doi:10.4269/ajtmh.2010.10-0154
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Reid, M. C., Guan, K., Wagner, F., & Mauzerall, D. L. (2014). Global methane emissions from pit latrines. Environmental Science & Technology, 48(15), 8727-8734. doi:10.1021/es501549h
Gridded Population of the World (GPW) v3 (population density future estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Reid, R., Galvin, K., & Kruska, R. (2008). Global Significance of Extensive Grazing Lands and Pastoral Societies: An Introduction. In K. A. Galvin, R. S. Reid, R. H. Behnke Jr., & N. T. Hobbs (Eds.), Fragmentation in Semi-Arid and Arid Landscapes (pp. 1-24): Springer.
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Reimann, L., Merkens, J.-L., & Vafeidis, A. T. (2018). Regionalized Shared Socioeconomic Pathways: narratives and spatial population projections for the Mediterranean coastal zone. Regional Environmental Change, 18(1), 235-245. doi:10.1007/s10113-017-1189-2
Gridded Population of the World (GPW) v4 (population count UN WPP-adjusted) - 10.7927/H4SF2T42
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Reimann, L., Vafeidis, A. T., & Honsel, L. E. (2023). Population development as a driver of coastal risk: Current trends and future pathways. Cambridge Prisms: Coastal Futures, 1-23. doi:10.1017/cft.2023.3
Gridded Population of the World (GPW) v2
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
POPGRID
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)

Reimann, L., Vollstedt, B., Koerth, J., Tsakiris, M., Beer, M., & Vafeidis, A. T. (2021). Extending the Shared Socioeconomic Pathways (SSPs) to support local adaptation planning—A climate service for Flensburg, Germany. Futures, 127, 102691. doi:10.1016/j.futures.2020.102691
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points)

Reis, R. E., Albert, J. S., Di Dario, F., Mincarone, M. M., Petry, P., & Rocha, L. A. (2016). Fish biodiversity and conservation in South America. Journal of Fish Biology, 89(1), 12-47. doi:10.1111/jfb.13016
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)
NASA REMOTE SENSING (MODIS)

Réjou-Méchain, M., Mortier, F., Bastin, J.-F., Cornu, G., Barbier, N., Bayol, N., . . . Gourlet-Fleury, S. (2021). Unveiling African rainforest composition and vulnerability to global change. Nature, 593, 90-94. doi:10.1038/s41586-021-03483-6
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (MODIS)

Renner, K., Schneiderbauer, S., Pruß, F., Kofler, C., Martin, D., & Cockings, S. (2018). Spatio-temporal population modelling as improved exposure information for risk assessments tested in the Autonomous Province of Bolzano. International Journal of Disaster Risk Reduction, 27, 470-479. doi:10.1016/j.ijdrr.2017.11.011
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Reuß, M., Grube, T., Robinius, M., & Stolten, D. (2019). A hydrogen supply chain with spatial resolution: Comparative analysis of infrastructure technologies in Germany. Applied Energy, 247, 438-453. doi:10.1016/j.apenergy.2019.04.064
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Rey-Pommier, A., Chevallier, F., Ciais, P., Broquet, G., Christoudias, T., Kushta, J., . . . Sciare, J. (2022). Quantifying NOx emissions in Egypt using TROPOMI observations. Atmospheric Chemistry and Physics, 22, 11505–11527. doi:10.5194/acp-22-11505-2022
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (TROPOMI)

Rhebergen, T., Fairhurst, T., Zingore, S., Fisher, M., Oberthür, T., & Whitbread, A. (2016). Climate, soil and land-use based land suitability evaluation for oil palm production in Ghana. European Journal of Agronomy, 81, 1-14. doi:10.1016/j.eja.2016.08.004
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Richter, B. D., Postel, S., Revenga, C., Scudder, T., Lehner, B., Churchill, A., & Chow, M. (2010). Lost in development’s shadow: The downstream human consequences of dams Water Alternatives, 3(2), 14-42. Retrieved from http://www.water-alternatives.org/index.php/alldoc/articles/vol3/v3issue2/80-a3-2-3
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Ricker-Gilbert, J., Jumbe, C., & Chamberlin, J. (2014). How does population density influence agricultural intensification and productivity? Evidence from Malawi. Food Policy, 48, 114-128. doi:10.1016/j.foodpol.2014.02.006
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (SRTM)

Rigaud, K. K., de Sherbinin, A., Jones, B., Adamo, S., Maleki, D., Abu-Ata, N. E., . . . Mills, B. (2021). Groundswell Africa: Internal Climate Migration in West African Countries. Retrieved from Washington DC: https://openknowledge.worldbank.org/handle/10986/36404
Anthropogenic Biomes of the World v2 (2000) - 10.7927/H4D798B9
Food Security (Food Insecurity Hotspots Data Set, v1) - 10.7927/cx02-2587
Gridded Population of the World (GPW) v3 (population count) - 10.​7927/​H4639MPP
Gridded Population of the World (GPW) v4.10 (basic demographic characteristics) - 10.7927/H45H7D7F
Gridded Population of the World (GPW) v4.11 (population density UN WPP-adjusted) - 10.7927/H4F47M65
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population and Land Area Estimates, v2) - 10.7927/H4MW2F2J
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population and Land Area Estimates, v3) - 10.7927/d1x1-d702
Population Dynamics (Global One-Eighth Degree Population Projection Grids for the SSPs, v1) - 10.7927/H4RF5S0P
Population Estimation Service v3 - 10.7927/H4DR2SK5
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ

Rizzo, A. J., Sirmons, S., Mohatt, D. F., & Phillips, S. M. (2019). Brief Report - "Rural is...": Toward a Working Definition. The Community Psychologist, 52(Summer 2019), 38-41. Retrieved from https://scra27.org/files/7715/6389/5535/TCP_Summer_2019_Volume_52_Number_3_FINAL.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Roberts, M. (2018). The many dimensions of urbanization and the productivity of cities in Latin America and the Caribbean. In M. M. Ferreyra & M. Roberts (Eds.), Raising the Bar for Productive Cities in Latin America and the Caribbean (pp. 49-85). Washington: World Bank.
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points)

Roberts, M., Blankespoor, B., Deuskar, C., & Stewart, B. P. (2017). Urbanization and development : is Latin America and the Caribbean different from the rest of the world? Retrieved from Washington: https://doi.org/10.1596/1813-9450-8019
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Roberts, M., & Deichmann, U. (2011). International growth spillovers, geography and infrastructure. The World Economy, 34(9), 1507-1533. doi:10.1111/j.1467-9701.2011.01392.x
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)

Robinson, T. P., Wint, G. R. W., Conchedda, G., Van Boeckel, T. P., Ercoli, V., Palamara, E., . . . Gilbert, M. (2014). Mapping the global distribution of livestock. PLoS ONE, 9(5), e96084. doi:10.1371/journal.pone.0096084
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Rodriguez, D., Potgieter, A., Hoffman, A., Davis, P., Fekybelu, S., & Ward, A. (2010). Enhancing Food Security in Eastern Africa. Retrieved from Canberra: http://aciar.gov.au/files/node/12960/fr2010_18_final_report_cse_2009_043_18504.pdf
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)

Rogers, D. J., Suk, J. E., & Semenza, J. C. (2014). Using global maps to predict the risk of dengue in Europe. Acta Tropica, 129, 1-14. doi:10.1016/j.actatropica.2013.08.008
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Rogers, D. J., Wilson, A. J., Hay, S. I., & Graham, A. (2006). The global distribution of yellow fever and dengue. In Advances in Parasitology (Vol. 62, pp. 181-220): Academic Press.
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Rohat, G., Flacke, J., Dosio, A., Dao, H., & van Maarseveen, M. (2019). Projections of human exposure to dangerous heat in African cities under multiple socioeconomic and climate scenarios. Earth's Future, 7(5), 528-546. doi:10.1029/2018ef001020
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Roman-Colon, M. O., & Strahler, A. H. (2007). Land observation from geosynchronous earth orbit (LOGEO): Mission concept and preliminary engineering analysis. Acta Astronautica, 61(1-6), 101-114. doi:10.1016/j.actaastro.2007.01.025
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Roni, R., & Jia, P. (2020). An optimal population modeling approach using geographically weighted regression based on high-resolution remote sensing data: A case study in Dhaka City, Bangladesh. Remote Sensing, 12(7), 1184. doi:10.3390/rs12071184
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
REMOTE SENSING (WorldView-2)

Rosales Carreón, J., & Worrell, E. (2018). Urban energy systems within the transition to sustainable development. A research agenda for urban metabolism. Resources, Conservation and Recycling, 132, 258-266. doi:10.1016/j.resconrec.2017.08.004
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Rosenzweig, C., & Solecki, W. (2018). The Future We Don't Want:  How Climate Change Could Impact the World's Greatest Cities. Retrieved from https://www.c40.org/wp-content/uploads/2021/08/1789_Future_We_Dont_Want_Report_1.4_hi-res_120618.original.pdf
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Rova, S., Pastres, R., Zucchetta, M., & Pranovi, F. (2018). Ecosystem services' mapping in data-poor coastal areas: Which are the monitoring priorities? Ocean & Coastal Management, 153, 168-175. doi:10.1016/j.ocecoaman.2017.11.021
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Roy Chowdhury, P. K., Bhaduri, B. L., & McKee, J. J. (2018). Estimating urban areas: New insights from very high-resolution human settlement data. Remote Sensing Applications: Society and Environment, 10, 93-103. doi:10.1016/j.rsase.2018.03.002
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
NASA REMOTE SENSING (MODIS)

Roy, D. C., & Blaschke, T. (2014). A grid-based approach for refining population data in rural areas. Journal of Geography and Regional Planning, 7(3), 47-57. doi:10.5897/JGRP2013.0409
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Ruiz de Ybáñez, R., del Río, L., Martínez-Carrasco, C., Segovia, M., Cox, J., Davies, C., & Berriatua, E. (2009). Questionnaire survey on Canine Leishmaniosis in southeastern Spain. Veterinary Parasitology, 164(2-4), 124-133. doi:10.1016/j.vetpar.2009.06.013
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Ruiz-Linares, A., Adhikari, K., Acuña-Alonzo, V., Quinto-Sanchez, M., Jaramillo, C., Arias, W., . . . Gonzalez-José, R. (2014). Admixture in Latin America: Geographic structure, phenotypic diversity and self-perception of ancestry based on 7,342 individuals. PLoS Genetics, 10(9), e1004572. doi:10.1371/journal.pgen.1004572
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Ryan, C. M., Pritchard, R., McNicol, I., Owen, M., Fisher, J. A., & Lehmann, C. (2016). Ecosystem services from southern African woodlands and their future under global change. Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1703), 16 pp. doi:10.1098/rstb.2015.0312
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

Ryan, S. J., McNally, A., Johnson, L. R., Mordecai, E. A., Ben-Horin, T., Paaijmans, K., & Lafferty, K. D. (2015). Mapping physiological suitability limits for malaria in Africa under climate change. Vector-Borne and Zoonotic Diseases, 15(12), 718-725. doi:10.1089/vbz.2015.1822
Gridded Population of the World (GPW) v3 (population density future estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Rynhoud, H., Meier, E., Gibson, J. S., Price, R., Maguire, T., Farry, T., . . . Soares Magalhães, R. J. (2021). Epidemiology of methicillin resistant Staphylococcus species carriage in companion animals in the Greater Brisbane Area, Australia. Research in Veterinary Science, 136, 138-142. doi:10.1016/j.rvsc.2021.02.012
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Sabesan, A., Abercrombie, K., Ganguly, A., Bhaduri, B., Bright, E., & Coleman, P. (2007). Metrics for the comparative analysis of geospatial datasets with applications to high-resolution grid-based population data. GeoJournal, 69(1), 81-91. doi:10.1007/s10708-007-9103-y
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Sadik-Zada, E. R., & Gatto, A. (2022). Chapter 2 - Vulnerability to the urban heat islands effect in the Global North and the Global South: assessment of the drivers and mitigation strategies. In A. Khan, H. Akbari, F. Fiorito, S. Mithun, & D. Niyogi (Eds.), Global Urban Heat Island Mitigation (pp. 29-45): Elsevier.
Global Rural-Urban Mapping Project (GRUMP) v1.02 (urban extent polygons) - 10.7927/np6p-qe61
Satellite-Derived Environmental Indicators (Global Urban Heat Island (UHI) Data Set, v1)- 10.7927/H4H70CRF
Satellite-Derived Environmental Indicators (Global Summer Land Surface Temperature (LST) Grids, v1) - 10.7927/H408638T

Salmon, O. E., Shepson, P. B., Ren, X., Marquardt Collow, A. B., Miller, M. A., Carlton, A. G., . . . Dickerson, R. R. (2017). Urban emissions of water vapor in winter. Journal of Geophysical Research: Atmospheres, 122(17), 9467-9484. doi:10.1002/2016JD026074
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Salvatore, M., Pozzi, F., Ataman, E., Huddleston, B., & Bloise, M. (2005). Mapping global urban and rural population estimates. Retrieved from Rome: http://www.fao.org/docrep/009/a0310e/a0310e00.htm
Gridded Population of the World (GPW) v1
Gridded Population of the World (GPW) v2
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Samberg, L. H., Gerber, J. S., Ramankutty, N., Herrero, M., & West, P. C. (2016). Subnational distribution of average farm size and smallholder contributions to global food production. Environmental Research Letters, 11(12), 124010. doi:10.1088/1748-9326/11/12/124010
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

San José, R., Pérez, J., Morant, J., & González Barras, R. (2009). The Use of Modern Third-Generation Air Quality Models (MM5-EMIMO-CMAQ) for Real-Time Operational Air Quality Impact Assessment of Industrial Plants. Water, Air, & Soil Pollution: Focus, 9(1), 27-37. doi:10.1007/s11267-008-9196-4
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Sánchez, D., Bortkiewicz, A., Rodríguez, J. M., Martínez, G. S., Gavagnin, G., & Sánchez, T. (2016). A methodology to identify potential markets for small-scale solar thermal power generators. Applied Energy, 169, 287-300. doi:10.1016/j.apenergy.2016.01.114
Global Rural-Urban Mapping Project (GRUMP) v1 (population density map)

Sanderson, E. W., Moy, J., Rose, C., Fisher, K., Jones, B., Balk, D., . . . Walston, J. (2019). Implications of the shared socioeconomic pathways for tiger (Panthera tigris) conservation. Biological Conservation, 231, 13-23. doi:10.1016/j.biocon.2018.12.017
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) Balk et al 2006

Saraswat, S. K., Digalwar, A. K., Yadav, S. S., & Kumar, G. (2021). MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India. Renewable Energy, 169, 865-884. doi:10.1016/j.renene.2021.01.056
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF

Sarfraz, M. S., Tripathi, N. K., Faruque, F. S., Bajawa, U. I., Kitamoto, A., & Souris, M. (2014). Mapping urban and peri-urban breeding habitats of Aedes mosquitoes using a fuzzy analytical hierarchical process based on climatic and physical parameters. Geospatial Health, 8(3), S685-S697. doi:10.4081/gh.2014.297
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)

Sarzynski, A. (2012). Bigger is not always better: A comparative analysis of cities and their air pollution impact. Urban Studies, 49(14), 3121-3138. doi:10.1177/0042098011432557
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Sasahara, A. (2017). Essays on Regional and International Economics. (Ph.D.). University of California, Davis, Davis CA. Retrieved from https://search.proquest.com/docview/1948877960/ 
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Population Dynamics (Global Estimated Net Migration Grids By Decade, v1)

Satterthwaite, D. (2011). How urban societies can adapt to resource shortage and climate change. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1942), 1762-1783. doi:10.1098/rsta.2010.0350
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Schaffner, F., Versteirt, V., Van Bortel, W., Zeller, H., Wint, G. R. W., & Alexander, N. S. (2016). VBORNET gap analysis: Mosquito vector distribution models utilised to identify areas of potential species distribution in areas lacking records. Open Health Data, 4(1), e6. doi:10.5334/ohd.27
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (MODIS)

Schaldach, R., Wimmer, F., Koch, J., Volland, J., Geißler, K., & Köchy, M. (2013). Model-based analysis of the environmental impacts of grazing management on Eastern Mediterranean ecosystems in Jordan. Journal of Environmental Management, 127(Supplement), S84-S95. doi:10.1016/j.jenvman.2012.11.024
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
NASA REMOTE SENSING (MODIS)

Schapira, A., & Boutsika, K. (2012). Malaria Ecotypes and Stratification. In D. Rollinson & S. I. Hay (Eds.), Advances in Parasitology (Vol. 78, pp. 97-167): Academic Press.
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Schinko, T., Drouet, L., Vrontisi, Z., Hof, A., F., Hinkel, J., Mochizuki, J., . . . Lincke, D. (2020). Economy-wide effects of coastal flooding due to sea level rise: A multi-model simultaneous treatment of mitigation, adaptation, and residual impacts. Environmental Research Communications, 2(1), 015002. doi:10.1088/2515-7620/ab6368
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Schirber, M. (2005). Cities Cover More of Earth than Realized. Retrieved from http://www.livescience.com/6893-cities-cover-earth-realized.html
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Schmidt, E., Dorosh, P. A., Kedir Jemal, M., & Smart, J. (2020). Urbanization and structural transformation. In P. A. Dorosh & B. Minten (Eds.), Ethiopia's Agrifood System: Past Trends, Present Challenges, and Future Scenarios (pp. 379-422). Washington DC: International Food Policy Research Institute (IFRPI).
Gridded Population of the World (GPW) v4 (population density UN WPP-adjusted) - 10.7927/H4HX19NJ
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Schmidt, E., & Kedir, M. (2009). Urbanization and Spatial Connectivity in Ethiopia:  Urban Growth Analysis Using GIS. Retrieved from http://dspace.africaportal.org/jspui/bitstream/123456789/31829/1/ESSP2%20Discussion%20Paper%20003.pdf?1
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
NASA REMOTE SENSING (MODIS)

Schneider, A., Friedl, M. A., & Potere, D. (2009). A new map of global urban extent from MODIS remote sensing data based on an urban ecoregion approach. In P. Gamba & M. Herold (Eds.), Global Mapping of Human Settlement:  Experiences, Datasets, and Prospects (pp. 107-125). Boca Raton: CRC Press.
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)
NASA REMOTE SENSING (MODIS)

Schneider, A., Friedl, M. A., & Potere, D. (2009). A new map of global urban extent from MODIS satellite data. Environmental Research Letters, 4(4), 044003. doi:10.1088/1748-9326/4/4/044003
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)

Schneider, A., Friedl, M. A., & Potere, D. (2010). Mapping global urban areas using MODIS 500-m data: New methods and datasets based on 'urban ecoregions'. Remote Sensing of Environment, 114(8), 1733-1746. doi:10.1016/j.rse.2010.03.003
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)

Scholes, R. J., & Biggs, R. (2005). A biodiversity intactness index. Nature, 434(7029), 45-49. doi:10.1038/nature03289
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Human Footprint (Sanderson)

Schöpp, W., & Gomez Sanabria, A. (2018). High Resolution Urban Population for Asian Cities. Retrieved from: http://pure.iiasa.ac.at/15563
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Schreier, S. F., Richter, A., Kaiser, J. W., & Burrows, J. P. (2014). The empirical relationship between satellite-derived tropospheric NO2 and fire radiative power and possible implications for fire emission rates of NOx. Atmospheric Chemistry and Physics, 14(5), 2447-2466. doi:10.5194/acp-14-2447-2014
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (OMI)
REMOTE SENSING (GOME)

Schug, F., Frantz, D., van der Linden, S., & Hostert, P. (2021). Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. PLoS ONE, 16(3), e0249044. doi:10.1371/journal.pone.0249044
Gridded Population of the World (GPW) v4.10 (population density UN WPP-adjusted)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Sentinel-1)
REMOTE SENSING (Sentinel-2)

Schuh, A. E., Otte, M., Lauvaux, T., & Oda, T. (2021). Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing. Remote Sensing of Environment, 262, 112473. doi:10.1016/j.rse.2021.112473
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
NASA REMOTE SENSING (OCO-2)

Schulte, F., & Trinn, C. (2022). Self-rule and intrastate conflict risk in divided societies: A configurational analysis of consociational institutions. Swiss Political Science Review, 28(3), 413-432. doi:10.1111/spsr.12514
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (DMSP-OLS)

Sebastian, K. (2014). Atlas of African Agriculture Research and Development: Revealing Agriculture's Place in Africa: IFPRI.
Gridded Population of the World (GPW) v3 (centroids)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Seto, K. C., Fragkias, M., Güneralp, B., & Reilly, M. K. (2011). A meta-analysis of global urban land expansion. PLoS ONE, 6(8), e23777. doi:10.1371/journal.pone.0023777
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (SPOT GLC2000)

Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012). Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences, 109(40), 16083-16088. doi:10.1073/pnas.1211658109
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Sharma, S. (2015). Correlating urban system and hydrological system in context of physical planning. International Journal of Scientific and Engineering Research, 6(4), 1337-1347. Retrieved from http://www.ijser.org/researchpaper%5CCorrelating-Urban-System-and-Hydrological-system-in-context-of-Physical-planning.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Sharma, S. (2016). Surface water flow of urban areas and sustainable urban planning. International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, 10(4), 425-440. Retrieved from http://waset.org/publications/10004817
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Sharma, S. (2017). Water challenges of an urbanizing world. In V. Bobek (Ed.), Management of Cities and Regions: InTech.
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Sherub, S., Fiedler, W., Duriez, O., & Wikelski, M. (2017). Bio-logging, new technologies to study conservation physiology on the move: a case study on annual survival of Himalayan vultures. Journal of Comparative Physiology A, 203(6-7), 531-542. doi:10.1007/s00359-017-1180-x
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Shevade, V. S., & Loboda, T. V. (2019). Oil palm plantations in Peninsular Malaysia: Determinants and constraints on expansion. PLoS ONE, 14(2), e0210628. doi:10.1371/journal.pone.0210628
Gridded Population of the World (GPW) v4 (population density) - 10.7927/H4NP22DQ
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (Landsat)

Shi, Q.-q., Cheng, P., Zhang, C.-x., Guo, X.-x., Liu, L.-j., Wang, H.-f., . . . Gong, M.-q. (2017). Epidemiological analysis of 133 malaria cases in Shanxian county, Shandong Province, China. Asian Pacific Journal of Tropical Medicine, 10(8), 802-807. doi:10.1016/j.apjtm.2017.08.004
Global Rural-Urban Mapping Project (GRUMP) alpha (unspecified)

Shifa, M., & Borel-Saladin, J. (2019). African urbanisation and poverty. In J. Battersby & V. Watson (Eds.), Urban Food Systems Governance and Poverty in African Cities (pp. 29-41): Routledge.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Shrime, M. G., Sekidde, S., Linden, A., Cohen, J. L., Weinstein, M. C., & Salomon, J. A. (2016). Sustainable development in surgery: The health, poverty, and equity impacts of charitable surgery in Uganda. PLoS ONE, 11(12), e0168867. doi:10.1371/journal.pone.0168867
Global Rural-Urban Mapping Project (GRUMP) v1 (population density map)

Shu, Y., Li, H., Wagner, F., Zhang, S., Yang, T., Klimont, Z., . . . Binh, N. (2023). Pathways toward PM2.5 air quality attainment and its CO2 mitigation co-benefits in China's northern cities by 2030. Urban Climate, 50, 101584. doi:10.1016/j.uclim.2023.101584
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Shumba, T., De Vos, A., Biggs, R., Esler, K. J., & Clements, H. S. (2021). The influence of biophysical and socio-economic factors on the effectiveness of private land conservation areas in preventing natural land cover loss across South Africa. Global Ecology and Conservation, 28, e01670. doi:10.1016/j.gecco.2021.e01670
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)
REMOTE SENSING (Landsat)

Siikamäki, J., Santiago-Ávila, F. J., & Vail, P. (2015). Global Assessment of Nonwood Forest Ecosystem Services: Spatially Explicit Meta-Analysis and Benefit Transfer to Improve the World Bank's Forest Wealth Database. Retrieved from Washington DC: https://www.wavespartnership.org/en/knowledge-center/global-assessment-non-wood-forest-ecosystem-services-spatially-explicit-meta
Gridded Population of the World (GPW) v3 (population density)
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Siler, C. D., Lira-Noriega, A., & Brown, R. M. (2014). Conservation genetics of Australasian sailfin lizards: Flagship species threatened by coastal development and insufficient protected area coverage. Biological Conservation, 169, 100-108. doi:10.1016/j.biocon.2013.10.014
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS NDVI)

Simini, F., & James, C. (2019). Testing Heaps’ law for cities using administrative and gridded population data sets. EPJ Data Science, 8(1), 24. doi:10.1140/epjds/s13688-019-0203-y
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Siraj, A. S., Oidtman, R. J., Huber, J. H., Kraemer, M. U. G., Brady, O. J., Johansson, M. A., & Perkins, T. A. (2017). Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals. PLoS Neglected Tropical Diseases, 11(7), e0005797. doi:10.1371/journal.pntd.0005797
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006) population count

Siri, J. G., Lindblade, K. A., Rosen, D. H., Onyango, B., Vulule, J., Slutsker, L., & Wilson, M. L. (2008). Quantitative urban classification for malaria epidemiology in sub-Saharan Africa. Malaria Journal, 7(34), 9pp. doi:10.1186/1475-2875-7-34
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Quickbird)

Sitko, N. J., & Chamberlin, J. (2016). The geography of Zambia’s customary land: Assessing the prospects for smallholder development. Land Use Policy, 55, 49-60. doi:10.1016/j.landusepol.2016.03.026
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Sitko, N. J., Chamberlin, J., & Hichaambwa, M. (2015). The Geography of Customary Land in Zambia: Is Development Strategy Engaging with the Facts? Retrieved from Lukasa, Zambia: http://www.iapri.org.zm/images/WorkingPapers/wp98.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (SRTM)

Sitko, N. J., & Jayne, T. S. (2012). The Rising Class of Emergent Farmers:  An Effective Model for Achieving Agricultural Growth and Poverty Reduction in Africa? Retrieved from Lusaka: http://www.aec.msu.edu/fs2/zambia/wp69.pdf
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Skoufias, E., Strobl, E., & Tveit, T. (2021). Constructing damage indices based on publicly available spatial data: Exemplified by earthquakes and volcanic eruptions in Indonesia. International Journal of Disaster Risk Science, 12, 410-427. doi:10.1007/s13753-021-00348-4
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (OMI)
REMOTE SENSING (DMSP-OLS)

Skoufias, E., Strobl, E., & Tveit, T. B. (2017). Natural Disaster Damage Indices Based on Remotely Sensed Data: An Application to Indonesia. Retrieved from Washington: http://documents.worldbank.org/curated/en/533341504882194154/Natural-disaster-damage-indices-based-on-remotely-sensed-data-an-application-to-Indonesia
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
NASA REMOTE SENSING (OMI)
REMOTE SENSING (DMSP-OLS)

Sloan, S., Locatelli, B., Wooster, M. J., & Gaveau, D. L. A. (2017). Fire activity in Borneo driven by industrial land conversion and drought during El Niño periods, 1982–2010. Global Environmental Change, 47, 95-109. doi:10.1016/j.gloenvcha.2017.10.001
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (AVHRR GIMMS)
NASA REMOTE SENSING (MODIS - MOD16A2)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (DMSP-OLS)

Small, C., Elvidge, C. D., Balk, D., & Montgomery, M. (2011). Spatial scaling of stable night lights. Remote Sensing of Environment, 115(2), 269-280. doi:10.1016/j.rse.2010.08.021
Gridded Population of the World (GPW) v1
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)
REMOTE SENSING (Landsat)

Small, C., & Sousa, D. (2016). Humans on Earth; Global extents of anthropogenic land cover from remote sensing. Anthropocene, 14, 1-33. doi:10.1016/j.ancene.2016.04.003
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (VIIRS)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (IKONOS)
REMOTE SENSING (MERIS)
REMOTE SENSING (MODIS Global Cropland)
REMOTE SENSING (ALOS PALSAR)
REMOTE SENSING (Landsat Vegetation Continuous Fields)
REMOTE SENSING (TanDEM-X (TDX))

Smith, F. M. (2019). Economics of a Crowded Planet: Palgrave Macmillan.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Snow, R. W., Amratia, P., Kabaria, C. W., Noor, A. M., & Marsh, K. (2012). The Changing Limits and Incidence of Malaria in Africa: 1939–2009. In D. Rollinson & S. I. Hay (Eds.), Advances in Parasitology (Vol. 78, pp. 169-262): Academic Press.
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Snow, R. W., Guerra, C. A., Mutheu, J. J., & Hay, S. I. (2008). International funding for malaria control in relation to populations at risk of stable Plasmodium falciparum transmission. PLoS Medicine, 5(7), e142. doi:10.1371/journal.pmed.0050142
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Snow, R. W., Hay, S. I., & Marsh, K. (2006). Malaria in Africa:  sources, risks, drivers and the disease burden 2005-2030. Retrieved from http://webarchive.nationalarchives.gov.uk/20140108134321/http://www.bis.gov.uk/assets/foresight/docs/infectious-diseases/t5_8.pdf
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Snow, R. W., Okiro, E. A., Gething, P. W., Atun, R., & Hay, S. I. (2010). Equity and adequacy of international donor assistance for global malaria control: an analysis of populations at risk and external funding commitments. The Lancet, 376(9750), 1409-1416. doi:10.1016/s0140-6736(10)61340-2
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Soares Magalhães, R. J., Barnett, A. G., & Clements, A. C. A. (2011). Geographical analysis of the role of water supply and sanitation in the risk of helminth infections of children in West Africa. Proceedings of the National Academy of Sciences, 108(50), 20084-20089. doi:10.1073/pnas.1106784108
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (AVHRR)

Soares Magalhães, R. J., & Clements, A. C. A. (2011). Mapping the risk of anaemia in preschool-age children: The contribution of malnutrition, malaria, and Helminth infections in West Africa. PLoS Medicine, 8(6), e1000438. doi:10.1371/journal.pmed.1000438
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Soares Magalhães, R. J., Clements, A. C. A., Patil, A. P., Gething, P. W., & Brooker, S. J. (2011). The Applications of Model-Based Geostatistics in Helminth Epidemiology and Control. In D. Rollinson & S. I. Hay (Eds.), Advances in Parasitology (Vol. 74, pp. 267-296): Academic Press.
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Song, G., Yu, M., Liu, S., & Zhang, S. (2015). A dynamic model for population mapping: a methodology integrating a Monte Carlo simulation with vegetation-adjusted night-time light images. International Journal of Remote Sensing, 36(15), 4054-4068. doi:10.1080/01431161.2015.1073862
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (DMSP-OLS)

Sordo-Ward, A., Granados, A., Iglesias, A., Garrote, L., & Bejarano, M. D. (2019). Adaptation effort and performance of water management strategies to face climate change impacts in six representative basins of southern Europe. Water, 11(5), 1078. doi:10.3390/w11051078
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Sordo-Ward, A., Granados, I., Iglesias, A., & Garrote, L. (2019). Blue water in Europe: Estimates of current and future availability and analysis of uncertainty. Water, 11(3), 420. doi:10.3390/w11030420
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Intergovernmental Panel on Climate Change (IPCC) (Emissions Scenarios, v1.01)

Sorichetta, A., Hornby, G. M., Stevens, F. R., Gaughan, A. E., Linard, C., & Tatem, A. J. (2015). High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020. Scientific Data, 2, 150045. doi:10.1038/sdata.2015.45
Gridded Population of the World (GPW) v1
Gridded Population of the World (GPW) v2
Gridded Population of the World (GPW) v3 (collection)
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS NPP)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (VIIRS)
REMOTE SENSING (MERIS GlobCover)

Spanedda, F. (2013). Bigness or Vastness? In S. Serreli (Ed.), City Project and Public Space (Vol. 14, pp. 125-139): Springer Netherlands.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) map

Ssempiira, J., Nambuusi, B., Kissa, J., Agaba, B., Makumbi, F., Kasasa, S., & Vounatsou, P. (2017). The contribution of malaria control interventions on spatio-temporal changes of parasitaemia risk in Uganda during 2009–2014. Parasites & Vectors, 10(1), 13pp. doi:10.1186/s13071-017-2393-0
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Stanton, M. C., Bockarie, M. J., & Kelly-Hope, L. A. (2013). Geographical factors affecting bed net ownership, a tool for the elimination of Anopheles-transmitted Lymphatic Filariasis in hard-to-reach communities. PLoS ONE, 8(1), e53755. doi:10.1371/journal.pone.0053755
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Stevens, F. R., Gaughan, A. E., Linard, C., & Tatem, A. J. (2015). Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data. PLoS ONE, 10(2), e0107042. doi:10.1371/journal.pone.0107042
Gridded Population of the World (GPW) v2
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (SRTM - HydroSheds)
NASA REMOTE SENSING (MODIS NPP)
REMOTE SENSING (EarthSat GeoCover Land Cover TM)
REMOTE SENSING (VIIRS)

Stevens, F. R., Reed, F., Gaughan, A. E., Sinha, P., Sorichetta, A., Yetman, G., & Tatem, A. J. (2019). How remotely sensed built areas and their realizations inform and constrain gridded population models. Paper presented at the IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan.
GPW (version not specified)
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)

Stevens, K. B., Costard, S., Métras, R., Theuri, W., Hendrickx, S., & Pfeiffer, D. U. (2010). Risk Mapping for HPAI H5N1 in Africa – Improving Surveillance for Virulent Bird Flu: Final Report and Maps. Retrieved from http://hdl.handle.net/10568/2420
Global Rural-Urban Mapping Project (GRUMP) alpha (settlement points)

Stojanovic, T. A., & Farmer, C. J. Q. (2013). The development of world oceans & coasts and concepts of sustainability. Marine Policy, 42, 157-165. doi:10.1016/j.marpol.2013.02.005
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Stolar, J., & Nielsen, S. E. (2015). Accounting for spatially biased sampling effort in presence-only species distribution modelling. Diversity and Distributions, 21(5), 595-608. doi:10.1111/ddi.12279
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Strader, S. M., Ashley, W. S., & Walker, J. (2015). Changes in volcanic hazard exposure in the Northwest USA from 1940 to 2100. Natural Hazards, 77(2), 1365-1392. doi:10.1007/s11069-015-1658-1
Gridded Population of the World (GPW) v2
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)

Strimas‐Mackey, M., & Brodie, J. F. (2018). Reserve design to optimize the long‐term persistence of multiple species. Ecological Applications, 28(5), 1354-1361. doi:10.1002/eap.1739
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Stuch, B. (2016). Food Security and Biodiversity Conservation under Global Change. (Dr. rer. nat). University of Kassel, Kassel. Retrieved from https://doi.org/10.19211/KUP9783737602013 
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Su, M.-D., Lin, M.-C., Hsieh, H.-I., Tsai, B.-W., & Lin, C.-H. (2010). Multi-layer multi-class dasymetric mapping to estimate population distribution. Science of The Total Environment, 408(20), 4807-4816. doi:10.1016/j.scitotenv.2010.06.032
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Suet, M., Lozano-Arango, J. G., Defos Du Rau, P., Deschamps, C., Abdalgader Mohammed, M. A., Elbashary Adam, E., . . . Mondain-Monval, J.-Y. (2021). Improving waterbird monitoring and conservation in the Sahel using remote sensing: a case study with the International Waterbird Census in Sudan. Ibis, 163(2), 607-622. doi:10.1111/ibi.12911
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
REMOTE SENSING (Landsat)

Sulochanan, B., Veena, S., Ratheesh, L., Padua, S., Rohit, P., Kaladharan, P., & Kripa, V. (2019). Temporal and spatial variability of beach litter in Mangaluru, India. Marine Pollution Bulletin, 149, 110541. doi:10.1016/j.marpolbul.2019.110541
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Svobodova, K., Owen, J. R., Kemp, D., Moudrý, V., Lèbre, É., Stringer, M., & Sovacool, B. K. (2022). Decarbonization, population disruption and resource inventories in the global energy transition. Nature Communications, 13(1), 7674. doi:10.1038/s41467-022-35391-2
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points)

Swanson, A. (2016). Fascinating maps show just how empty one half of the world is.  Retrieved from https://www.washingtonpost.com/news/wonk/wp/2016/03/07/fascinating-maps-show-just-how-empty-one-half-of-the-world-is/
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Szabó, S., Moner-Girona, M., Kougias, I., Bailis, R., & Bódis, K. (2016). Identification of advantageous electricity generation options in sub-Saharan Africa integrating existing resources. Nature Energy, 1(16140), 8 pp. doi:10.1038/nenergy.2016.140
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (VIIRS)

Szulkin, M., Garroway, C. J., Corsini, M., Kotarba, A. Z., & Dominoni, D. M. (2020). How to quantify urbanization when testing for urban evolution? In M. Szulkin, J. Munshi-South, & A. Charmantier (Eds.), Urban Evolutionary Biology (pp. 13-34). New York: Oxford University Press.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Szulkin, M., Munshi-South, J., & Charmantier, A. (2020). Introduction. In M. Szulkin, J. Munshi-South, & A. Charmantier (Eds.), Urban Evolutionary Biology (pp. 1-12). New York: Oxford University Press.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Taguchi, R., Tanoue, M., Yamazaki, D., & Hirabayashi, Y. (2022). Global-scale assessment of economic losses caused by flood-related business interruption. Water, 14(6), 967. doi:10.3390/w14060967
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Takle, E. S., Gustafson, D., Beachy, R., Nelson, G. C., Mason-D'Croz, D., & Palazzo, A. (2013). US food security and climate change: Agricultural futures. Economics Discussion Papers, Kiel Institute for the World Economy(2013-17). Retrieved from http://www.economics-ejournal.org/economics/discussionpapers/2013-17
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Tallis, H. T., Ricketts, T., Guerry, A. D., Nelson, E. J., Ennaanay, D., Wolny, S., . . . Bernhardt, J. (2011). InVEST 2.0 Beta User’s Guide. The Natural Capital Project. Retrieved from Palo Alto: http://www.naturalcapitalproject.org/pubs/InVEST_2.0beta_Users_Guide.pdf
http://stanford.edu/~woodsp/natcap/invest/docs/21/
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Tamburello, L., Benedetti-Cecchi, L., Ghedini, G., Alestra, T., & Bulleri, F. (2012). Variation in the structure of subtidal landscapes in the NW Mediterranean Sea. Marine Ecology Progress Series, 457, 29-41. doi:10.3354/meps09703
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Tanoue, M., Hirabayashi, Y., & Ikeuchi, H. (2016). Global-scale river flood vulnerability in the last 50 years. Scientific Reports, 6(36021). doi:10.1038/srep36021
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Tanoue, M., Taguchi, R., Alifu, H., & Hirabayashi, Y. (2021). Residual flood damage under intensive adaptation. Nature Climate Change, 11, 823-826. doi:10.1038/s41558-021-01158-8
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Tanser, F., Gething, P. W., & Atkinson, P. (2009). Location-allocation Planning. In A Companion to Health and Medical Geography (pp. 540-566): Wiley-Blackwell.
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Tatem, A. J., Adamo, S. B., Bharti, N., Burgert, C., Castro, M., Dorelien, A., . . . Balk, D. (2012). Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivation. Population Health Metrics, 10(8), 1-14. doi:10.1186/1478-7954-10-8
Gridded Population of the World (GPW) v3 (collection)
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Tatem, A. J., Campiz, N., Gething, P. W., Snow, R. W., & Linard, C. (2011). The effects of spatial population dataset choice on estimate of population at risk of disease. Population Health Metrics, 9(4), 14. doi:10.1186/1478-7954-9-4
Gridded Population of the World (GPW) v3 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Tatem, A. J., Guerra, C. A., Kabaria, C. W., Noor, A. M., & Hay, S. I. (2008). Human population, urban settlement patterns and their impact on Plasmodium falciparum malaria endemicity. Malaria Journal, 7, 17pp. doi:10.1186/1475-2875-7-218
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (AVHRR)
NASA REMOTE SENSING (MODIS)

Tatem, A. J., Jia, P., Ordanovich, D., Falkner, M., Huang, Z., Howes, R., . . . Smith, D. L. (2017). The geography of imported malaria to non-endemic countries: a meta-analysis of nationally reported statistics. The Lancet Infectious Diseases, 17(1), 98-107. doi:10.1016/S1473-3099(16)30326-7
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Tatem, A. J., Noor, A. M., & Hay, S. I. (2005). Assessing the accuracy of satellite derived global and national urban maps in Kenya. Remote Sensing of Environment, 96(1), 87-97. doi:10.1016/j.rse.2005.02.001
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)
REMOTE SENSING (Landsat)
REMOTE SENSING (RADARSAT)

Tatem, A. J., Noor, A. M., von Hagen, C., Di Gregorio, A., & Hay, S. I. (2007). High resolution population maps for low income nations: Combining land cover and census in East Africa. PLoS ONE, 2(12), e1298. doi:10.1371/journal.pone.0001298
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (RADARSAT-1)
REMOTE SENSING (Landsat ETM)

Tatem, A. J., & Smith, D. L. (2010). International population movements and regional Plasmodium falciparum malaria elimination strategies. Proceedings of the National Academy of Sciences, 107(27), 12222-12227. doi:10.1073/pnas.1002971107
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Tatem, A. J., Smith, D. L., Gething, P. W., Kabaria, C. W., Snow, R. W., & Hay, S. I. (2010). Ranking of elimination feasibility between malaria-endemic countries. The Lancet, 376(9752), 1579-1591. doi:10.1016/s0140-6736(10)61301-3
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Tatem, A. J., Snow, R. W., & Hay, S. I. (2006). Mapping the environmental coverage of the INDEPTH demographic surveillance system network in rural Africa. Tropical Medicine & International Health, 11(8), 1318-1326. doi:10.1111/j.1365-3156.2006.01681.x
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
REMOTE SENSING (AVHRR)

Taubenböck, H., Droin, A., Standfuß, I., Dosch, F., Sander, N., Milbert, A., . . . Wurm, M. (2022). To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization. Computers, Environment and Urban Systems, 95, 101830. doi:10.1016/j.compenvurbsys.2022.101830
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Taubenböck, H., & Wiesner, M. (2015). The spatial network of megaregions - Types of connectivity between cities based on settlement patterns derived from EO-data. Computers, Environment and Urban Systems, 54, 165-180. doi:10.1016/j.compenvurbsys.2015.07.001
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Terra SAR-X (TSX))
REMOTE SENSING (TanDEM-X (TDX))

Tchinguilou, A., Jalloh, A., Thomas, T. S., & Nelson, G. C. (2013). Togo. In A. Jalloh, G. C. Nelson, T. S. Thomas, R. Zougmoré, & H. Roy-Macauley (Eds.), West African Agriculture and Climate Change (pp. 353-382). Washington DC: International Food Policy Research Institute.
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Teklehaimanot, A., McCord, G. C., & Sachs, J. D. (2007). Scaling up malaria control in Africa: An economic and epidemiological assessment. American Journal of Tropical Medicine and Hygiene, 77(6_Suppl), 138-144. doi:10.4269/ajtmh.2007.77.138
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Tellman, B., McDonald, R. I., Goldstein, J. H., Vogl, A. L., Flörke, M., Shemie, D., . . . Veiga, F. (2018). Opportunities for natural infrastructure to improve urban water security in Latin America. PLoS ONE, 13(12), e0209470. doi:10.1371/journal.pone.0209470
Global Agricultural Inputs (phosphorous in manure production) - 10.7927/H49Z92TD
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Tellman, B., Sesnie, S. E., Magliocca, N. R., Nielsen, E. A., Devine, J. A., McSweeney, K., . . . Aguilar-Gonzalez, B. (2020). Illicit drivers of land use change: Narcotrafficking and forest loss in Central America. Global Environmental Change, 63, 102092. doi:10.1016/j.gloenvcha.2020.102092
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS - MCD64A1)

Tessler, Z. D., Vörösmarty, C. J., Grossberg, M., Gladkova, I., & Aizenman, H. (2016). A global empirical typology of anthropogenic drivers of environmental change in deltas. Sustainability Science, 11(4), 525-537. doi:10.1007/s11625-016-0357-5
Gridded Population of the World (GPW) v3 (population density) - 10.7927/H4XK8CG2
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Texier, G., Machault, V., Barragti, M., Boutin, J.-P., & Rogier, C. (2013). Environmental determinant of malaria cases among travellers. Malaria Journal, 12(1), 87. doi:10.1186/1475-2875-12-87
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Thebo, A. L., Drechsel, P., & Lambin, E. F. (2014). Global assessment of urban and peri-urban agriculture: irrigated and rainfed croplands. Environmental Research Letters, 9(11), 114002. doi:10.1088/1748-9326/9/11/114002
Gridded Population of the World (GPW) v3 (national boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Thebo, A. L., Drechsel, P., Lambin, E. F., & Nelson, K. L. (2017). A global, spatially-explicit assessment of irrigated croplands influenced by urban wastewater flows. Environmental Research Letters, 12(7), 12pp. doi:10.1088/1748-9326/aa75d1
Gridded Population of the World (GPW) v3 (national boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Thomas, T., Christiaensen, L., Do, Q. T., & Trung, L. D. (2010). Natural Disasters and Household Welfare: Evidence from Vietnam  WPS5491. Retrieved from Washington DC: http://hdl.handle.net/10986/3974
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Thomassen, H. A., Fuller, T., Asefi-Najafabady, S., Shiplacoff, J. A. G., Mulembakani, P. M., Blumberg, S., . . . Rimoin, A. W. (2013). Pathogen-host associations and predicted range shifts of human monkeypox in response to climate change in Central Africa. PLoS ONE, 8(7), e66071. doi:10.1371/journal.pone.0066071
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Thomson, D. R., Stevens, F. R., Ruktanonchai, N. W., Tatem, A. J., & Castro, M. C. (2017). GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population data. International Journal of Health Geographics, 16(1), 25. doi:10.1186/s12942-017-0098-4
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Thornton, P. K., & Herrero, M. (2010). Potential for reduced methane and carbon dioxide emissions from livestock and pasture management in the tropics. Proceedings of the National Academy of Sciences, 107(46), 19667-19672. doi:10.1073/pnas.0912890107
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

Tian, H., Banger, K., Bo, T., & Dadhwal, V. K. (2014). History of land use in India during 1880–2010: Large-scale land transformations reconstructed from satellite data and historical archives. Global and Planetary Change, 121, 78-88. doi:10.1016/j.gloplacha.2014.07.005
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (Advanced Wide Field Sensor - Resourcesat-1)

Tingley, R., Hitchmough, R. A., & Chapple, D. G. (2013). Life-history traits and extrinsic threats determine extinction risk in New Zealand lizards. Biological Conservation, 165, 62-68. doi:10.1016/j.biocon.2013.05.028
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Last of the Wild v2 (Human Footprint)

Tlili, O., Mansilla, C., Linβen, J., Reuß, M., Grube, T., Robinius, M., . . . Stolten, D. (2020). Geospatial modelling of the hydrogen infrastructure in France in order to identify the most suited supply chains. International Journal of Hydrogen Energy, 45(4), 3053-3072. doi:10.1016/j.ijhydene.2019.11.006
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)

Tracewski, Ł., Butchart, S. H. M., Donald, P. F., Evans, M., Fishpool, L. D. C., & Buchanan, G. M. (2016). Patterns of twenty-first century forest loss across a global network of important sites for biodiversity. Remote Sensing in Ecology and Conservation, 2(1), 37-44. doi:10.1002/rse2.13
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
REMOTE SENSING (Landsat)

Trombetti, M., Thunis, P., Bessagnet, B., Clappier, A., Couvidat, F., Guevara, M., . . . Lopez-Aparicio, S. (2018). Spatial inter-comparison of top-down emission inventories in European urban areas. Atmospheric Environment, 173, 142-156. doi:10.1016/j.atmosenv.2017.10.032
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Tu, W., Liu, Z., Du, Y., Yi, J., Liang, F., Wang, N., . . . Wang, H. (2022). An ensemble method to generate high-resolution gridded population data for China from digital footprint and ancillary geospatial data. International Journal of Applied Earth Observation and Geoinformation, 107, 102709. doi:10.1016/j.jag.2022.102709
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Twine, R., & Njehu, A. (2020). Uganda Smallholder Pig Value Chain Development: Situation Analysis and Trends. Retrieved from Nairobi, Kenya: https://www.ilri.org/publications/uganda-smallholder-pig-value-chain-development-situation-analysis-and-trends
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Uchida, H., & Nelson, A. (2010). Agglomeration Index:  Towards a new measure of urban concentration. Retrieved from http://www.wider.unu.edu/publications/working-papers/2010/en_GB/wp2010-29/
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global Roads (catalog)

Uchiyama, Y., & Mori, K. (2017). Methods for specifying spatial boundaries of cities in the world: The impacts of delineation methods on city sustainability indices. Science of The Total Environment, 592, 345-356. doi:10.1016/j.scitotenv.2017.03.014
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Uhl, J. H., & Leyk, S. (2022). Assessing the relationship between morphology and mapping accuracy of built-up areas derived from global human settlement data. GIScience & Remote Sensing, 59(1), 1722-1748. doi:10.1080/15481603.2022.2131192
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Uhl, J. H., Leyk, S., McShane, C. M., Braswell, A. E., Connor, D. S., & Balk, D. (2021). Fine-grained, spatio-temporal datasets measuring 200 years of land development in the United States. Earth System Science Data, 13, 119-153. doi:10.5194/essd-13-119-2021
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Unfried, K., Kis-Katos, K., & Poser, T. (2021). Water Scarcity and Social Conflict. Retrieved from Bonn: https://www.iza.org/publications/dp/14707/water-scarcity-and-social-conflict
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Satellite-Derived Environmental Indicators (Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, v1)
NASA REMOTE SENSING (GRACE)

Unfried, K., Kis-Katos, K., & Poser, T. (2022). Water scarcity and social conflict. Journal of Environmental Economics and Management, 113, 102633. doi:10.1016/j.jeem.2022.102633
Gridded Population of the World (GPW) v4 (admin unit center points with population estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Satellite-Derived Environmental Indicators (Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, v1)
NASA REMOTE SENSING (GRACE)

United Nations International Strategy for Disaster Reduction Secretariat. (2009). 2009 Global assessment report on disaster risk reduction: risk and poverty in a changing climate. Retrieved from Manama, Bahrain: http://www.preventionweb.net/english/hyogo/gar/2009/?pid:34&pih:2
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)
Natural Disaster Hotspots (collection)

Ustaoglu, E., & Kabadayı, M. E. (2021). Reconstruction of residential land cover and spatial analysis of population in Bursa Region (Turkey) in the mid-nineteenth century. Land, 10(10), 1077. doi:10.3390/land10101077
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Vaccari, F. P., Gioli, B., Toscano, P., & Perrone, C. (2013). Carbon dioxide balance assessment of the city of Florence (Italy), and implications for urban planning. Landscape and Urban Planning, 120, 138-146. doi:10.1016/j.landurbplan.2013.08.004
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Vafeidis, A., Neumann, B., Zimmermann, J., & Nicholls, R. J. (2011). MR9: Analysis of land area and population in the low-elevation coastal zone (LECZ). Retrieved from London: http://webarchive.nationalarchives.gov.uk/20121212135622/http://bis.gov.uk/assets/foresight/docs/migration/modelling/11-1169-mr9-land-and-population-in-the-low-elevation-coastal-zone.pdf
Gridded Population of the World (GPW) v3 (land and geographic unit area grids)
Gridded Population of the World (GPW) v3 (national boundaries)
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (land and geographic area grids)
NASA REMOTE SENSING (MODIS)

Van Boeckel, T. P., Prosser, D. J., Franceschini, G., Biradar, C., Wint, G. R. W., Robinson, T. P., & Gilbert, M. (2011). Modelling the distribution of domestic ducks in Monsoon Asia. Agriculture, Ecosystems & Environment, 141(3-4), 373-380. doi:10.1016/j.agee.2011.04.013
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)

Van Boeckel, T. P., Thanapongtharm, W., Robinson, T. P., Biradar, C. M., Xiao, X., & Gilbert, M. (2012). Improving risk models for Avian Influenza: The role of intensive poultry farming and flooded land during the 2004 Thailand epidemic. PLoS ONE, 7(11), e49528. doi:10.1371/journal.pone.0049528
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

Van Boeckel, T. P., Thanapongtharm, W., Robinson, T. P., D’Aietti, L., & Gilbert, M. (2012). Predicting the distribution of intensive poultry farming in Thailand. Agriculture, Ecosystems & Environment, 149, 144-153. doi:10.1016/j.agee.2011.12.019
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

van Breugel, P., Herrero, M., van de Steeg, J., & Peden, D. (2010). Livestock water use and productivity in the Nile Basin. Ecosystems, 13(2), 205-221. doi:10.1007/s10021-009-9311-z
Global Rural-Urban Mapping Project (GRUMP) alpha (land and geographic area grids)

van de Sande, B., Lansen, J., & Hoyng, C. (2012). Sensitivity of coastal flood risk assessments to digital elevation models. Water, 4(3), 568-579. doi:10.3390/w4030568
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)
NASA REMOTE SENSING (ASTER GDEM)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (LIDAR)

Van Den Eeckhaut, M., Hervás, J., Jaedicke, C., Malet, J. P., Montanarella, L., & Nadim, F. (2012). Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data. Landslides, 9(3), 357-369. doi:10.1007/s10346-011-0299-z
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (MERIS GlobCover)

Van der Laan, C., Verweij, P., Quinones, M., & Faaij, A. (2014). Analysis of biophysical and anthropogenic variables and their relation to the regional spatial variation of aboveground biomass illustrated for North and East Kalimantan, Borneo. Carbon Balance and Management, 9(1), 8. doi:10.1186/s13021-014-0008-z
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)
NASA REMOTE SENSING (GLAS LIDAR)
REMOTE SENSING (ALOS PALSAR)

van Eijk, A. M., Hill, J., Alegana, V. A., Kirui, V., Gething, P. W., ter Kuile, F. O., & Snow, R. W. (2011). Coverage of malaria protection in pregnant women in sub-Saharan Africa: a synthesis and analysis of national survey data. The Lancet Infectious Diseases, 11(3), 190-207. doi:10.1016/s1473-3099(10)70295-4
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

van Geen, A. (2008). Environmental science: Arsenic meets dense populations. Nature Geoscience, 1(8), 494-496. doi:10.1038/ngeo268 
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

van Huijstee, J., van Bemmel, B., Bouwman, A., & van Rijn, F. (2018). Towards an Urban Preview: Modelling Future Urban Growth with 2UP. Retrieved from The Hague: http://www.pbl.nl/en/publications/towards-an-urban-preview
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

van Kleunen, M., Essl, F., Pergl, J., Brundu, G., Carboni, M., Dullinger, S., . . . Dehnen‐Schmutz, K. (2018). The changing role of ornamental horticulture in alien plant invasions. Biological Reviews, 93(3), 1421-1437. doi:10.1111/brv.12402
Global Rural-Urban Mapping Project (GRUMP) v1 (land and geographic area grids)

van Ruijven, B. J., Schers, J., & van Vuuren, D. P. (2012). Model-based scenarios for rural electrification in developing countries. Energy, 38(1), 386-397. doi:10.1016/j.energy.2011.11.037
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)

van Soesbergen, A., Arnell, A. P., Sassen, M., Stuch, B., Schaldach, R., Göpel, J., . . . Palazzo, A. (2017). Exploring future agricultural development and biodiversity in Uganda, Rwanda and Burundi: a spatially explicit scenario-based assessment. Regional Environmental Change, 17(5), 1409-1420. doi:10.1007/s10113-016-0983-6
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93

van Weezel, S. (2019). On climate and conflict: Precipitation decline and communal conflict in Ethiopia and Kenya. Journal of Peace Research, 56(4), 514–528. doi:10.1177/0022343319826409
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Vandermeulen, I., Guay, M., & McLellan, P. J. (2016, 6-8 July 2016). Formation control of high-altitude balloons by distributed extremum seeking control. Paper presented at the 2016 American Control Conference (ACC).
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Vandermeulen, I., Guay, M., & McLellan, P. J. (2017). Distributed control of high-altitude balloon formation by extremum-seeking control. IEEE Transactions on Control Systems Technology, 26(3), 857-873. doi:10.1109/TCST.2017.2692742
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Varis, O., Kummu, M., & Salmivaara, A. (2012). Ten major rivers in monsoon Asia-Pacific: An assessment of vulnerability. Applied Geography, 32(2), 441-454. doi:10.1016/j.apgeog.2011.05.003
Environmental Sustainability Index (ESI) (2005)
Gridded Population of the World (GPW) v3 (population count future estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Last of the Wild v2 (Global Human Footprint (Geographic))
Natural Disaster Hotspots (collection)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Venter, O., Sanderson, E. W., Magrach, A., Allan, J. R., Beher, J., Jones, K. R., . . . Watson, J. E. M. (2016). Data Descriptor: Global terrestrial Human Footprint maps for 1993 and 2009. Scientific Data, 3(160067), 10 pp. doi:10.1038/sdata.2016.67
Gridded Population of the World (GPW) v3 (population density) - 10.7927/H4XK8CG2
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG
NASA REMOTE SENSING (ISLSCP-II) - 10.3334/ORNLDAAC/969
REMOTE SENSING (DMSP-OLS)

Verzano, K., Bärlund, I., Flörke, M., Lehner, B., Kynast, E., Voß, F., & Alcamo, J. (2012). Modeling variable river flow velocity on continental scale: Current situation and climate change impacts in Europe. Journal of Hydrology, 424–425, 238-251. doi:10.1016/j.jhydrol.2012.01.005
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Vetter-Gindele, J., Braun, A., Warth, G., Bui, T. T. Q., Bachofer, F., & Eltrop, L. (2019). Assessment of household solid waste generation and composition by building type in Da Nang, Vietnam. Resources, 8(4), 171. doi:10.3390/resources8040171
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Vianna, G. M. S., Meekan, M. G., Ruppert, J. L. W., Bornovski, T. H., & Meeuwig, J. J. (2016). Indicators of fishing mortality on reef-shark populations in the world’s first shark sanctuary: the need for surveillance and enforcement. Coral Reefs, 35(3), 973-977. doi:10.1007/s00338-016-1437-9
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Vicarelli, M., Kamal, R., & Fernandez, M. (2016). Cost benefit analysis for ecosystem-based disaster risk reduction interventions: A review of best practices and existing studies. In G. F. Renaud, K. Sudmeier-Rieux, M. Estrella, & U. Nehren (Eds.), Ecosystem-Based Disaster Risk Reduction and Adaptation in Practice (pp. 45-73). Cham: Springer International Publishing.
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H

Villena, O. C., Ryan, S. J., Murdock, C. C., & Johnson, L. R. (2022). Temperature impacts the environmental suitability for malaria transmission by Anopheles gambiae and Anopheles stephensi. Ecology, 103(8), e3685. doi:10.1002/ecy.3685
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Vinet, F., Bigot, V., Petrucci, O., Papagiannaki, K., Llasat, M. C., Kotroni, V., . . . Tramblay, Y. (2019). Mapping flood-related mortality in the Mediterranean Basin. Results from the MEFF v2.0 DB. Water, 11(10), 2196. doi:10.3390/w11102196
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Vizcarra, N. (2013). Crazy bad air. Sensing Our Planet: NASA Earth Science Research Features. Retrieved from https://earthdata.nasa.gov/featured-stories/featured-research/crazy-bad-air#datatable
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS Level 2 Aerosol)
NASA REMOTE SENSING (MISR Level 2 Aerosol)

Vizcarra, N. (2018). Leaving dry lands behind. Sensing Our Planet: NASA Earth Science Research Features. Retrieved from https://earthdata.nasa.gov/user-resources/sensing-our-planet/leaving-dry-lands-behind
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H
NASA REMOTE SENSING (TRMM)

Vogt, J., & Cortez, C. (2020). Urban Social-Ecological Systems. In M. I. Goldstein & D. A. DellaSala (Eds.), Encyclopedia of the World's Biomes (pp. 35-47). Oxford: Elsevier.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Vollmer, D., & Grêt-Regamey, A. (2013). Rivers as municipal infrastructure: Demand for environmental services in informal settlements along an Indonesian river. Global Environmental Change, 23(6), 1542-1555. doi:10.1016/j.gloenvcha.2013.10.001
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Vollmer, D., Pribadi, D. O., Remondi, F., Rustiadi, E., & Grêt-Regamey, A. (2016). Prioritizing ecosystem services in rapidly urbanizing river basins: A spatial multi-criteria analytic approach. Sustainable Cities and Society, 20, 237-252. doi:10.1016/j.scs.2015.10.004
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Walsh, M. G., & Haseeb, M. A. (2015). The landscape configuration of zoonotic transmission of Ebola virus disease in West and Central Africa: interaction between population density and vegetation cover. PeerJ, 3, e735. doi:10.7717/peerj.735
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Walsh, M. G., Wiethoelter, A., & Haseeb, M. A. (2017). The impact of human population pressure on flying fox niches and the potential consequences for Hendra virus spillover. Scientific Reports, 7(8226), 13pp. doi:10.1038/s41598-017-08065-z
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Population Dynamics (Global Estimated Net Migration Grids By Decade, v1)
Last of the Wild v2 (Global Human Footprint (Geographic))
NASA REMOTE SENSING (MODIS)

Wan, B., Guo, Q., Fang, F., Su, Y., & Wang, R. (2015). Mapping US urban extents from MODIS data using one-class classification method. Remote Sensing, 7(8), 10143-10163. doi:10.3390/rs70810143
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Wan, G., & Kahn, M. (2014). Urbanization and the environment: An Asian perspective. In K. S. Sridhar & G. Wan (Eds.), Urbanization in Asia (pp. 249-287): Springer India.
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Wang, J., Jia, P., Cuadros, D. F., Xu, M., Wang, X., Guo, W., . . . Stein, A. (2017). A remote sensing data based artificial neural network approach for predicting climate-sensitive infectious disease outbreaks: A case study of human brucellosis. Remote Sensing, 9(10), 17pp. doi:10.3390/rs9101018
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)

Wang, M., Madden, M., Hendy, I., Estradivari, & Ahmadia, G. N. (2017). Modeling projected changes of mangrove biomass in different climatic scenarios in the Sunda Banda Seascapes. International Journal of Digital Earth, 10(4), 457-468. doi:10.1080/17538947.2016.1190411
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Wang, M., Wang, Y., Li, B., Cai, Z., & Kang, M. (2022). A population spatialization model at the building scale using random forest. Remote Sensing, 14(8), 1811. doi:10.3390/rs14081811
Gridded Population of the World (GPW) v2
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

Wang, N., Zhang, X., Yao, S., Wu, J., & Xia, H. (2022). How good are global layers for mapping rural settlements? Evidence from China. Land, 11(8), 1308. doi:10.3390/land11081308
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)
Global High Resolution Urban Data from Landsat (GMIS)
Global High Resolution Urban Data from Landsat (HBASE)
NASA REMOTE SENSING (MODIS)

Wang, P., Huang, C., & Brown de Colstoun, E. (2017). Mapping 2000–2010 impervious surface change in India using global land survey Landsat data. Remote Sensing, 9(4), 18pp. doi:10.3390/rs9040366
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (Landsat)

Wang, P., Huang, C., Tilton, J. C., Tan, B., & de Colstoun, E. C. B. (2017, 23-28 July 2017). HOTEX: An approach for global mapping of human built-up and settlement extent. Paper presented at the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (VIIRS)
REMOTE SENSING (Landsat)

Wang, R., Tao, S., Wang, W., Liu, J., Shen, H., Shen, G., . . . Ma, J. (2012). Black carbon emissions in China from 1949 to 2050. Environmental Science & Technology, 46(14), 7595-7603. doi:10.1021/es3003684
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Wang, T., & Sun, F. (2022). Global gridded GDP data set consistent with the shared socioeconomic pathways. Scientific Data, 9(1), 221. doi:10.1038/s41597-022-01300-x
Gridded Population of the World (GPW) v4.11 (unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Wang, W., Alva, S., Winter, R., & Burgert, C. (2013). Contextual Influences of Modern Contraceptive Use among Rural Women in Rwanda and Nepal. Retrieved from Calverton, MD: http://pdf.usaid.gov/pdf_docs/pnaec676.pdf
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Wang, X., Liu, J., Che, H., Ji, F., & Liu, J. (2018). Spatial and temporal evolution of natural and anthropogenic dust events over northern China. Scientific Reports, 8(1), 9pp. doi:10.1038/s41598-018-20382-5
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (CALIPSO)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (OMI)

Wang, X., Meng, X., & Long, Y. (2022). Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways. Scientific Data, 9(1), 563. doi:10.1038/s41597-022-01675-x
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Ward, A., Yin, K.-s., Dargusch, P., Fulton, E. A., & Aziz, A. A. (2017). The impact of land use change on carbon stored in mountain grasslands and shrublands. Ecological Economics, 135, 114-124. doi:10.1016/j.ecolecon.2016.12.023
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
NASA REMOTE SENSING (MODIS)

Warner, K., van der Geest, K., & Kreft, S. (2013). Pushed to the limit: Evidence of climate change-related loss and damage when people face constraints and limits to adaptation. Retrieved from Bonn: http://collections.unu.edu/view/UNU:1849
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS EVI)
REMOTE SENSING (MERIS GlobCover)

Warren, T. C. (2015). Explosive connections? Mass media, social media, and the geography of collective violence in African states. Journal of Peace Research, 52(3), 297-311. doi:10.1177/0022343314558102
Gridded Population of the World (GPW) v3 (population density) - 10.7927/H4XK8CG2
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Weber, E. M., Seaman, V. Y., Stewart, R. N., Bird, T. J., Tatem, A. J., McKee, J. J., . . . Reith, A. E. (2018). Census-independent population mapping in northern Nigeria. Remote Sensing of Environment, 204, 786-798. doi:10.1016/j.rse.2017.09.024
Gridded Population of the World (GPW) v4 (Doxsey-Whitfield et al. paper)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count) - 10.7927/H4VT1Q1H
REMOTE SENSING (DigitalGlobe)

Wei, Y., Wu, J., Huang, J., Liu, X., Han, D., An, L., . . . Huang, J. (2021). Declining oxygen level as an emerging concern to global cities. Environmental Science & Technology, 55(12), 7808-7817. doi:10.1021/acs.est.1c00553
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (GRACE)

Weibull, J., & Phillips, J. (2020). Swedish crop wild relatives: Towards a national strategy for in situ conservation of CWR. Genetic Resources, 1(1), 17-23. doi:10.46265/genresj.2020.1.17-24
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) map

Weidmann, N. B., Benitez-Baleato, S., Hunziker, P., Glatz, E., & Dimitropoulos, X. (2016). Digital discrimination: Political bias in Internet service provision across ethnic groups. Science, 353(6304), 1151-1155. doi:10.1126/science.aaf5062
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Weiss, D., Nelson, A., Gibson, H. S., Temperley, W., Peedell, S., Lieber, A., . . . Gething, P. W. (2018). A global map of travel time to cities to assess inequalities in accessibility in 2015. Nature, 553, 333-336. doi:10.1038/nature25181
Gridded Population of the World (GPW) v3 (population density future estimates) - 10.7927/H4ST7MRB
Global Rural-Urban Mapping Project (GRUMP) v1.01 (settlement points) - 10.7927/H4BC3WG1
NASA REMOTE SENSING (MODIS - MCD12Q1)
NASA REMOTE SENSING (SRTM)

Wetterlund, E., Leduc, S., Dotzauer, E., & Kindermann, G. (2012). Optimal localisation of biofuel production on a European scale. Energy, 41(1), 462-472. doi:10.1016/j.energy.2012.02.051
Global Rural-Urban Mapping Project (GRUMP) v1 (settelment points)

Wetzel, F. T., Kissling, W. D., Beissmann, H., & Penn, D. J. (2012). Future climate change driven sea-level rise: secondary consequences from human displacement for island biodiversity. Global Change Biology, 18(9), 2707-2719. doi:10.1111/j.1365-2486.2012.02736.x
Global Rural-Urban Mapping Project (GRUMP) alpha (population density)
REMOTE SENSING (MERIS GlobCover)

Whiteson, D., Mulhearn, M., Shimmin, C., Cranmer, K., Brodie, K., & Burns, D. (2016). Searching for ultra-high energy cosmic rays with smartphones. Astroparticle Physics, 79, 1-9. doi:10.1016/j.astropartphys.2016.02.002
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Wimberly, M. C. (2023). Geospatial Environmental Data for Planetary Health Applications. In T.-H. Wen, T.-W. Chuang, & M. Tipayamongkholgul (Eds.), Earth Data Analytics for Planetary Health (pp. 123-141). Singapore: Springer Nature Singapore.
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Winijkul, E., Fierce, L., & Bond, T. C. (2016). Emissions from residential combustion considering end-uses and spatial constraints: Part I, methods and spatial distribution. Atmospheric Environment, 125(Part A), 126-139. doi:10.1016/j.atmosenv.2015.10.013
Gridded Population of the World (GPW) v3 (admin boundaries)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Winsemius, H. C., Van Beek, L. P. H., Jongman, B., Ward, P. J., & Bouwman, A. (2013). A framework for global river flood risk assessments. Hydrology and Earth System Sciences, 17, 1871-1892. doi:10.5194/hess-17-1871-2013
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Wint, G. R. W., Morley, D., & Alexander, N. S. (2013). Four rodent and vole biodiversity models for Europe. Journal of Open Public Health Data, 1(1), e3. doi:10.5334/jophd.ac
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (SRTM)
NASA REMOTE SENSING (MODIS)

Wint, W., Petric, D., Bortel, W., Alexander, N., & Schaffner, F. (2020). RVF vector spatial distribution models: Vector abundance. EFSA Supporting Publications, 17(4), 1847E. doi:10.2903/sp.efsa.2020.EN-1847
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)

Wolff, C., Vafeidis, A. T., Lincke, D., Marasmi, C., & Hinkel, J. (2016). Effects of scale and input data on assessing the future impacts of coastal flooding: An application of DIVA for the Emilia-Romagna coast. Frontiers in Marine Science, 3(41), 15pp. doi:10.3389/fmars.2016.00041
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)

Wolff, C., Vafeidis, A. T., Muis, S., Lincke, D., Satta, A., Lionello, P., . . . Hinkel, J. (2018). A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards. Scientific Data, 5, 180044. doi:10.1038/sdata.2018.44
Gridded Population of the World (GPW) v4 (population count UN WPP-adjusted)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (SRTM)

Wolff, S., Schulp, C. J. E., & Verburg, P. H. (2017). Quantifying spatial variation in ecosystem services demand: A global mapping approach. Ecological Economics, 136, 14-29. doi:10.1016/j.ecolecon.2017.02.005
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Wood, S., Guo, Z., & Wood-Sichra, U. (2016). Spatial patterns of agricultural productivity. In S. Benin (Ed.), Agricultural Productivity in Africa: Trends, Patterns, and Determinants (pp. 105-132). Washington: IFPRI.
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Woodroffe, C. D., Nicholls, R. J., Saito, Y., Chen, Z., & Goodbred, S. (2006). Landscape variability and the response of Asian megadeltas to environmental change. In N. Harvey (Ed.), Global Change and Integrated Coastal Management (pp. 277-314): Springer.
Gridded Population of the World (GPW) v3 beta (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Woodruff, S., Vitro, K. A., & BenDor, T. K. (2018). GIS and Coastal Vulnerability to Climate Change. In B. Huang (Ed.), Comprehensive Geographic Information Systems (pp. 236-257). Oxford: Elsevier.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Wouyou, H. G., Lokonon, B. E., Idohou, R., Zossou-Akete, A. G., Assogbadjo, A. E., & Kakaï, R. G. (2022). Predicting the potential impacts of climate change on the endangered Caesalpinia bonduc (L.) Roxb in Benin (West Africa). Heliyon, 8(3), e09022. doi:10.1016/j.heliyon.2022.e09022
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Wright, J. A., Yang, H., & Walker, K. (2012). Do international surveys and censuses exhibit ‘Dry Season’ bias? Population, Space and Place, 18(1), 116-126. doi:10.1002/psp.681
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Wright, W. C. C., & Eppink, F. V. (2016). Drivers of heritage value: A meta-analysis of monetary valuation studies of cultural heritage. Ecological Economics, 130, 277-284. doi:10.1016/j.ecolecon.2016.08.001
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Wu, J., Li, Y., Li, N., & Shi, P. (2018). Development of an asset value map for disaster risk assessment in China by spatial disaggregation using ancillary remote sensing data. Risk Analysis, 38(1), 17-30. doi:10.1111/risa.12806
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (DMSP-OLS)

Wu, S., Huang, B., Wang, J., He, L., Wang, Z., Yan, Z., . . . Du, Z. (2021). Spatiotemporal mapping and assessment of daily ground NO2 concentrations in China using high-resolution TROPOMI retrievals. Environmental Pollution, 273, 116456. doi:10.1016/j.envpol.2021.116456
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
REMOTE SENSING (TROPOMI)

Wu, S., Liang, Z., & Li, S. (2019). Relationships between urban development level and urban vegetation states: a global perspective. Urban Forestry & Urban Greening, 38, 215-222. doi:10.1016/j.ufug.2018.12.010
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF

Xie, Y., & Weng, Q. (2016). Updating urban extents with nighttime light imagery by using an object-based thresholding method. Remote Sensing of Environment, 187, 1-13. doi:10.1016/j.rse.2016.10.002
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (Landsat)

Xie, Y., & Weng, Q. (2017). Spatiotemporally enhancing time-series DMSP/OLS nighttime light imagery for assessing large-scale urban dynamics. ISPRS Journal of Photogrammetry and Remote Sensing, 128, 1-15. doi:10.1016/j.isprsjprs.2017.03.003
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (AVHRR)
REMOTE SENSING (DMSP-OLS)

Xu, F., Zhang, P., & Li, Y. (2016). Context-aware real-time population estimation for metropolis. Paper presented at the Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany. https://doi.org/10.1145/2971648.2971673
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Xu, R. (2021). Mapping rural settlements from Landsat and Sentinel time series by integrating pixel- and object-based methods. Land, 10(3), 244. doi:10.3390/land10030244
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (Landsat)
REMOTE SENSING (Sentinel-1A)

Xu, Z., Jiao, L., Lan, T., Zhou, Z., Cui, H., Li, C., . . . Liu, Y. (2021). Mapping hierarchical urban boundaries for global urban settlements. International Journal of Applied Earth Observation and Geoinformation, 103, 102480. doi:10.1016/j.jag.2021.102480
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
Global High Resolution Urban Data from Landsat (GMIS)

Yamaji, K., Ikeda, K., Irie, H., Kurokawa, J. i., & Ohara, T. (2014). Influence of model grid resolution on NO2 vertical column densities over East Asia. Journal of the Air & Waste Management Association, 64(4), 436-444. doi:10.1080/10962247.2013.827603
Gridded Population of the World (GPW) v3 (population count future estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)
NASA REMOTE SENSING (OMI)
REMOTE SENSING (GOME-2)
REMOTE SENSING (SCIAMACHY)

Yang, J., La Sorte, F. A., Pyšek, P., Yan, P., Nowak, D., & Joe, M. (2015). The compositional similarity of urban forests among the world's cities is scale dependent. Global Ecology and Biogeography, 24(12), 1413-1423. doi:10.1111/geb.12376
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Yang, X., Huang, Y., Dong, P., Jiang, D., & Liu, H. (2009). An updating system for the Gridded Population Database of China based on remote sensing, GIS and spatial database technologies. Sensors, 9(2), 1128-1140. doi:10.3390/s90201128
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)

Yang, X., & Yao, L. (2022). Reexamining the relationship between surface urban heat island intensity and annual precipitation: Effects of reference rural land cover. Urban Climate, 41, 101074. doi:10.1016/j.uclim.2021.101074
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent) - 10.7927/H4Z31WKF
NASA REMOTE SENSING (MODIS - MYD11A2)

Yang, Z.-L., & Wang, L. (2020). Changes in Land Use Influenced by Anthropogenic Activity. In Oxford Research Encyclopedia of Environmental Science: Oxford Research Encyclopedias.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Yao, Y., Liu, X., Li, X., Zhang, J., Liang, Z., Mai, K., & Zhang, Y. (2017). Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data. International Journal of Geographical Information Science, 31(6), 1220-1244. doi:10.1080/13658816.2017.1290252
Gridded Population of the World (GPW) v2
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Yapi, R. B., Chammartin, F., Hürlimann, E., Houngbedji, C. A., N’Dri, P. B., Silué, K. D., . . . Raso, G. (2016). Bayesian risk profiling of soil-transmitted helminth infections and estimates of preventive chemotherapy for school-aged children in Côte d'Ivoire. Parasites & Vectors, 9(1), 1-9. doi:10.1186/s13071-016-1446-0
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)

Yates, A., Pedersen Zari, M., Bloomfield, S., Burgess, A., Walker, C., Waghorn, K., . . . Palmer, F. (2023). A transformative architectural pedagogy and tool for a time of converging crises. Urban Science, 7(1), 1. doi:10.3390/urbansci7010001
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Ye, N., Walker, J. P., Rüdiger, C., Ryu, D., & Gurney, R. J. (2019). Impact of urban cover fraction on SMOS and SMAP surface soil moisture retrieval accuracy. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(9), 3338-3350. doi:10.1109/JSTARS.2019.2929482
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
NASA REMOTE SENSING (SMAP)
REMOTE SENSING (SMOS)

Yengoh, G. T., Dent, D., Olsson, L., Tengberg, A. E., & Tucker, C. J. I. (2015). Development of land degradation assessments. In Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales (pp. 37-39): Springer International Publishing.
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)

Yepes-Estrada, C., Silva, V., Valcárcel, J., Acevedo, A. B., Tarque, N., Hube, M. A., . . . María, H. S. (2017). Modeling the residential building inventory in South America for seismic risk assessment. Earthquake Spectra, 33(1), 299-322. doi:10.1193/101915EQS155DP
Gridded Population of the World (GPW) v3 (unspecified)
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Yim, S. H. L., Lee, G. L., Lee, I. H., Allroggen, F., Ashok, A., Caiazzo, F., . . . Barrett, S. R. H. (2015). Global, regional and local health impacts of civil aviation emissions. Environmental Research Letters, 10(3), 034001. doi:10.1088/1748-9326/10/3/034001
Global Rural-Urban Mapping Project (GRUMP) v1 (population count)

Yin, J., Dong, J., Hamm, N. A. S., Li, Z., Wang, J., Xing, H., & Fu, P. (2021). Integrating remote sensing and geospatial big data for urban land use mapping: A review. International Journal of Applied Earth Observation and Geoinformation, 103, 102514. doi:10.1016/j.jag.2021.102514
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Global High Resolution Urban Data from Landsat (GMIS)
Global High Resolution Urban Data from Landsat (HBASE)
NASA REMOTE SENSING (AVHRR)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Yoshimura, C., Zhou, M., Kiem, A. S., Fukami, K., Prasantha, H. H. A., Ishidaira, H., & Takeuchi, K. (2009). 2020s scenario analysis of nutrient load in the Mekong River Basin using a distributed hydrological model. Science of The Total Environment, 407(20), 5356-5366. doi:10.1016/j.scitotenv.2009.06.026
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

You, L., & Diao, X. (2007). Assessing the potential impact of Avian influenza on poultry in West Africa: A spatial equilibrium analysis. Journal of Agricultural Economics, 58(2), 348-367. doi:10.1111/j.1477-9552.2007.00099.x
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)

You, L., & Sun, Z. (2022). Mapping global cropping system: challenges, opportunities and future perspectives. Crop and Environment, 1(1), 68-73. doi:10.1016/j.crope.2022.03.006
Global Rural-Urban Mapping Project (GRUMP) alpha (collection)

You, Z., Shi, H., Feng, Z., & Yang, Y. (2020). Creation and validation of a socioeconomic development index: a case study on the countries in the Belt and Road Initiative. Journal of Cleaner Production, 258, 120634. doi:10.1016/j.jclepro.2020.120634
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)

Yu, B., & Guo, Z. (2015). Measurement of Agricultural Productivity in Africa South of the Sahara:  A Spatial Typology Application. Retrieved from Washington DC: http://www.ifpri.org/publication/measurement-agricultural-productivity-africa-south-sahara-spatial-typology-application
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) map
NASA REMOTE SENSING (MODIS NDVI)

Yu, B., & Guo, Z. (2016). Typology of agricultural productivity zones. In S. Benin (Ed.), Agricultural Productivity in Africa:  Trends, Patterns and Determinants (pp. 133-198). Washington: IFPRI.
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
NASA REMOTE SENSING (MODIS - NDVI)

Yuan, M., Leirvik, T., & Wild, M. (2021). Global trends in downward surface solar radiation from spatial interpolated ground observations during 1961-2019. Journal of Climate, 34(23), 9501-9521. doi:10.1175/jcli-d-21-0165.1
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Yunus, F. M., Khan, S., Akter, T., Jhohura, F. T., Reja, S., Islam, A., & Rahman, M. (2016). How many hours do people sleep in Bangladesh? A country-representative survey. Journal of Sleep Research, 25(3), 365-376. doi:10.1111/jsr.12381
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Zagaria, C., Schulp, C. J. E., Malek, Ž., & Verburg, P. H. (2023). Potential for land and water management adaptations in Mediterranean croplands under climate change. Agricultural Systems, 205, 103586. doi:10.1016/j.agsy.2022.103586
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Zalasiewicz, J., Waters, C. N., & Williams, M. (2014). Human bioturbation, and the subterranean landscape of the Anthropocene. Anthropocene, 6, 3-9. doi:10.1016/j.ancene.2014.07.002
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Zapata-Caldas, E., Hyman, G., Pachón, H., Montserrate, F. A., & Varela, L. V. (2009). Identifying candidate sites for crop biofortification in Latin America: case studies in Colombia, Nicaragua and Bolivia. International Journal of Health Geographics, 8(29). doi:10.1186/1476-072X-8-29
Global Rural-Urban Mapping Project (GRUMP) alpha (population count)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)

Zeyringer, M., Pachauri, S., Schmid, E., Schmidt, J., Worrell, E., & Morawetz, U. B. (2015). Analyzing grid extension and stand-alone photovoltaic systems for the cost-effective electrification of Kenya. Energy for Sustainable Development, 25, 75-86. doi:10.1016/j.esd.2015.01.003
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)

Zhang, C., Tian, H., Chen, G., Chappelka, A., Xu, X., Ren, W., . . . Lockaby, G. (2012). Impacts of urbanization on carbon balance in terrestrial ecosystems of the Southern United States. Environmental Pollution, 164, 89-101. doi:10.1016/j.envpol.2012.01.020
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Zhang, M., Weng, S., Gao, H., Liu, L., Li, J., & Zhou, X. (2021). Urbanization degree rather than methanotrophic abundance decreases soil CH4 uptake. Geoderma, 404, 115368. Retrieved from https://doi.org/10.1016/j.geoderma.2021.115368
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Zhang, R., Wang, Y., He, Q., Chen, L., Zhang, Y., Qu, H., . . . Burrows, J. P. (2017). Enhanced trans-Himalaya pollution transport to the Tibetan Plateau by cut-off low systems. Atmospheric Chemistry and Physics, 17(4), 3083-3095. doi:10.5194/acp-17-3083-2017
Gridded Population of the World (GPW) v4 (population density UN WPP-adjusted) - 10.7927/H4HX19NJ
Global Rural-Urban Mapping Project (GRUMP) v1 (population density) - 10.7927/H4R20Z93
REMOTE SENSING (SCIAMACHY)

Zhang, Z., Liu, F., Zhao, X., Wang, X., Shi, L., Xu, J., . . . Liu, B. (2018). Urban expansion in China based on remote sensing technology: A review. Chinese Geographical Science, 28(5), 727-743. doi:10.1007/s11769-018-0988-9
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (Landsat)
REMOTE SENSING (DMSP-OLS)

Zhao, N., Samson, E. L., & Currit, N. A. (2015). Nighttime-Lights-Derived Fossil Fuel Carbon Dioxide Emission Maps and Their Limitations. Photogrammetric Engineering & Remote Sensing, 81(12), 935-943. doi:10.14358/PERS.81.12.935
Global Rural-Urban Mapping Project (GRUMP) v1 (unspecified)

Zhao, S., Zhu, C., Zhou, D., Huang, D., & Werner, J. (2013). Organic carbon storage in China's urban areas. PLoS ONE, 8(8), e71975. doi:10.1371/journal.pone.0071975
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Zhao, X., Thanapongtharm, W., Lawawirojwong, S., Wei, C., Tang, Y., Zhou, Y., . . . Kaewkungwal, J. (2020). Malaria risk map using spatial multi-criteria decision analysis along Yunnan border during the pre-elimination period. The American Journal of Tropical Medicine and Hygiene, 103(2), 793-809. doi:10.4269/ajtmh.19-0854
Global Rural-Urban Mapping Project (GRUMP) v1.01 (urban extent)
NASA REMOTE SENSING (SRTM)

Zhong, C., Guo, H., Swan, I., Gao, P., Yao, Q., & Li, H. (2023). Evaluating trends, profits, and risks of global cities in recent urban expansion for advancing sustainable development. Habitat International, 138, 102869. doi:10.1016/j.habitatint.2023.102869
Gridded Population of the World (GPW) v4 (population density) - 10.7927//H4NP22DQ
Global Rural-Urban Mapping Project (GRUMP) v1.02 (urban extent polygons) - 10.7927/np6p-qe61
Global High Resolution Urban Data from Landsat (GMIS) - 10.7927/H4P55KKF

Zhou, X., Feng, X. B., Dai, W., Li, P., Ju, C. Y., Bao, Z. D., & Han, Y. L. (2017). NPP-VIIRS DNB-based reallocating subpopulations to mercury in Urumqi city cluster, central Asia. IOP Conference Series: Earth and Environmental Science, 57(1), 7pp. doi:10.1088/1755-1315/57/1/012021
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (VIIRS NTL)
REMOTE SENSING (DMSP-OLS)

Zhou, Y., Li, X., Asrar, G. R., Smith, S. J., & Imhoff, M. (2018). A global record of annual urban dynamics (1992–2013) from nighttime lights. Remote Sensing of Environment, 219, 206-220. doi:10.1016/j.rse.2018.10.015
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)
REMOTE SENSING (DMSP-OLS)

Zhou, Y., Ma, M., Shi, K., & Peng, Z. (2020). Estimating and interpreting fine-scale gridded population using random forest regression and multisource data. ISPRS International Journal of Geo-Information, 9(6), 369. doi:10.3390/ijgi9060369
Gridded Population of the World (GPW) v1
Gridded Population of the World (GPW) v4 (Doxsey-Whitfield et al. paper)
Global Rural-Urban Mapping Project (GRUMP) v1

Zhou, Y., Smith, S. J., Elvidge, C. D., Zhao, K., Thomson, A., & Imhoff, M. (2014). A cluster-based method to map urban area from DMSP/OLS nightlights. Remote Sensing of Environment, 147, 173-185. doi:10.1016/j.rse.2014.03.004
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
REMOTE SENSING (DMSP-OLS)

Zhou, Y., Smith, S. J., Zhao, K., Imhoff, M., Thomson, A., Bond-Lamberty, B., . . . Elvidge, C. D. (2015). A global map of urban extent from nightlights. Environmental Research Letters, 10(5), 054011. doi:10.1088/1748-9326/10/5/054011
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (DMSP-OLS)

Zhu, S., Dai, Q., Zhao, B., & Shao, J. (2020). Assessment of population exposure to urban flood at the building scale. Water, 12(11), 3253. doi:10.3390/w12113253
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)

Zhu, Y., Price, O. R., Kilgallon, J., Qi, Y., Tao, S., Jones, K. C., & Sweetman, A. J. (2018). Drivers of contaminant levels in surface water of China during 2000–2030: Relative importance for illustrative home and personal care product chemicals. Environment International, 115, 161-169. doi:10.1016/j.envint.2018.03.013
Gridded Population of the World (GPW) v4 (population count UN WPP-adjusted)
Gridded Population of the World (GPW) v4 (population density) - 10.7927/H4NP22DQ
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)

Zhuang, H., Liu, X., Yan, Y., Ou, J., He, J., & Wu, C. (2021). Mapping multi-temporal population distribution in China from 1985 to 2010 using Landsat images via deep learning. Remote Sensing, 13(17), 3533. doi:10.3390/rs13173533
Gridded Population of the World (GPW) v4 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
REMOTE SENSING (Landsat)

Zilli, M. T., Carvalho, L. M. V., Liebmann, B., & Silva Dias, M. A. (2017). A comprehensive analysis of trends in extreme precipitation over southeastern coast of Brazil. International Journal of Climatology, 37(5), 2269-2279. doi:10.1002/joc.4840
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent) - 10.7927/H4GH9FVG

Zomer, R. J., Trabucco, A., Coe, R., Place, F., van Noordwijk, M., & Xu, J. (2014). Trees On Farms: An Update and Reanalysis of Agroforestry’s Global Extent and Socio-ecological Characteristics. Retrieved from Bogor, Indonesia: https://doi.org/10.5716/WP14064.PDF
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
NASA REMOTE SENSING (MODIS)

Zoraghein, H., & O'Neill, B. C. (2020). A spatial population downscaling model for integrated human-environment analysis in the United States. Demographic Research, 43(54), 1563-1606. doi:10.4054/DemRes.2020.43.54
Gridded Population of the World (GPW) v4.11 (population count)
Global Rural-Urban Mapping Project (GRUMP) v1 (Balk et al 2006)

Zucca, C., Peruta, R. D., Salvia, R., Sommer, S., & Cherlet, M. (2012). Towards a World Desertification Atlas. Relating and selecting indicators and data sets to represent complex issues. Ecological Indicators, 15(1), 157-170. doi:10.1016/j.ecolind.2011.09.012
Gridded Population of the World (GPW) v3 (population density)
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)