Listed below are known citations to the NASA Socioeconomic Data and Applications Center (SEDAC) Poverty Mapping 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.

Abson, D. J., Dougill, A. J., & Stringer, L. C. (2012). Spatial mapping of soci-ecological vulnerability to environmental change in Southern Africa. http://www.cccep.ac.uk/publication/spatial-mapping-of-socio-ecological-vulnerability-to-environmental-change-in-southern-africa/
Gridded Population of the World (GPW) v3 (population density)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Alagan, R., White, R. O., & Aladuwaka, S. (2018). Empowering the disempowered through civil rights geographic information systems: The case of black belt region of Alabama. In R. Alagan & S. Aladuwaka (Eds.), Environment, Politics, and Society (Research in Political Sociology) (Vol. 25, pp. 45-74): Emerald Publishing Ltd.
Poverty Mapping (collection)

Anderson, W., Guikema, S., Zaitchik, B., & Pan, W. (2014). Methods for estimating population density in data-limited areas: Evaluating regression and tree-based models in Peru. PLoS ONE, 9(7), e100037. doi:10.1371/journal.pone.0100037
Gridded Population of the World (GPW) v3 (collection)
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1)

Arango, C. C. S., Calle, C. A., & García-Merchán, V. H. (2023). Human population density influences genetic diversity of two Rattus species worldwide: A macrogenetic approach. Genes, 14(7), 1442. doi:10.3390/genes14071442
Gridded Population of the World (GPW) v4.11 (population density)
Poverty Mapping (Global Gridded Relative Deprivation Index (GRDI), v1)

Arce, M., & Nieto-Matiz, C. (2024). Mining and violence in Latin America: The state’s coercive responses to anti-mining resistance. World Development, 173, 106404. doi:10.1016/j.worlddev.2023.106404
Gridded Population of the World (GPW) v3 (population count) - 10.​7927/​H4639MPP
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
REMOTE SENSING (DMSP-OLS)

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)

Baldi, G., & Jobbágy, E. G. (2012). Land use in the dry subtropics: Vegetation composition and production across contrasting human contexts. Journal of Arid Environments, 76, 115-127. doi:10.1016/j.jaridenv.2011.08.016
Gridded Population of the World (GPW) v3 (population density)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Baldi, G., Verón, S. R., & Jobbágy, E. G. (2013). The imprint of humans on landscape patterns and vegetation functioning in the dry subtropics. Global Change Biology, 19(2), 441-458. doi:10.1111/gcb.12060
Gridded Population of the World (GPW) v3 (population density)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

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., & 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. (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

Barlow, M., Zaitchik, B., Paz, S., Black, E., Evans, J., & Hoell, A. (2016). A review of drought in the Middle East and Southwest Asia. Journal of Climate, 29(23), 8547-8574. doi:10.1175/JCLI-D-13-00692.1
Poverty Mapping (Global Subnational Infant Mortality Rates, v1) - 10.7927/H4PZ56R2

Beyer, A. C., Hernández, A. J., & Mendoza, V. D. C. (2019). Riesgo ante el cambio climático de la pesca artesanal y el turismo comunitario en el Golfo de Montijo, Panamá. UNED Research Journal, 11(1), S62-S70. doi:10.22458/urj.v11i1.2323
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1) - 10.7927/h49p2zkm

Biewald, A., Lotze-Campen, H., Otto, I., Brinckmann, N., Bodirsky, B., Weindl, I., . . . Schellnhuber, H. J. (2015). The Impact of Climate Change on Costs of Food and People Exposed to Hunger at Subnational Scale. Retrieved from Potsdam, Germany: https://www.pik-potsdam.de/research/publications/pikreports/.files/pr128.pdf
Gridded Population of the World (GPW) v3 (population density)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Blom, L., van Niekerk, A., & Laflamme, L. (2011). Epidemiology of fatal burns in rural South Africa: A mortuary register-based study from Mpumalanga Province. Burns, 37(8), 1394-1402. doi:10.1016/j.burns.2011.07.014
Poverty Mapping (Atlas of Poverty)

Briggs, R. C. (2018). Poor targeting: A gridded spatial analysis of the degree to which aid reaches the poor in Africa. World Development, 103(Supplement C), 133-148. doi:10.1016/j.worlddev.2017.10.020
Gridded Population of the World (GPW) v3 (population count)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1) - 10.7927/H4K64G12

Buhaug, H., Gleditsch, K. S., Holtermann, H., Østby, G., & Tollefsen, A. F. (2011). It’s the local economy, stupid! Geographic wealth dispersion and conflict outbreak location. Journal of Conflict Resolution, 55(5), 814-840. doi:10.1177/0022002711408011
Gridded Population of the World (GPW) v3 (collection)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

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)

Busby, J. W., Cook, K. H., Vizy, E. K., Smith, T. G., & Bekalo, M. (2014). Identifying hot spots of security vulnerability associated with climate change in Africa. Climatic Change, 124(4), 717-731. doi:10.1007/s10584-014-1142-z
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Busby, J. W., Smith, T., G., & White, K. L. (2012). Climate security and East Africa:  A GIS-based analysis of Vulnerability. In M. Gebrehiwot Berhe & J.-B. Butera (Eds.), Climate Change and Pastoralism:  Traditional Coping Mechanisms and Conflict in the Horn of Africa (pp. 56-87). Addis Ababa: Institute for Peace and Security Studies, Addis Ababa University
University for Peace, Africa Programme.
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (percent underweight)

Busby, J. W., Smith, T. G., Krishnan, N., Wight, C., & Vallejo-Gutierrez, S. (2018). In harm's way: Climate security vulnerability in Asia. World Development, 112, 88-118. doi:10.1016/j.worlddev.2018.07.007
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Busby, J. W., Smith, T. G., White, K. L., & Strange, S. M. (2012). Locating Climate Insecurity: Where Are the Most Vulnerable Places in Africa? In J. Scheffran, M. Brzoska, H. G. Brauch, P. M. Link, & J. Schilling (Eds.), Climate Change, Human Security and Violent Conflict (Vol. 8, pp. 463-511): Springer Berlin Heidelberg.
Poverty Mapping (collection)

Cairns, S., & Chen, T. (2019). Cartographic technique and artifice: The case of the Chengdu Plain. In S. Cairns & D. Tunas (Eds.), Future Cities Laboratory: Indicia 02 (pp. 191-199). Zurich: Lars Müller Publishers.
Gridded Population of the World (GPW) v4.10 (population density UN WPP-adjusted) - 10.7927/H49884ZR
Human Appropriation of Net Primary Productivity (HANPP) (collection)
Population Dynamics (Global Estimated Net Migration Grids By Decade, v1)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
REMOTE SENSING (many)

Calil, J., Reguero, B. G., Zamora, A. R., Losada, I. J., & Méndez, F. J. (2017). Comparative Coastal Risk Index (CCRI): A multidisciplinary risk index for Latin America and the Caribbean. PLoS ONE, 12(11), e0187011. doi:10.1371/journal.pone.0187011
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1) - 10.7927/H4K64G12
Poverty Mapping (Global Subnational Infant Mortality Rates, v1) - 10.7927/H4PZ56R2

Carr, E. R., Kettle, N. P., & Hoskins, A. (2009). Evaluating poverty-environment dynamics. International Journal of Sustainable Development & World Ecology, 16(2), 87 - 93. doi:10.1080/13504500902808792 
Poverty Mapping (Atlas of Poverty)

Chammartin, F., Scholte, R. G. C., Malone, J. B., Bavia, M. E., Nieto, P., Utzinger, J., & Vounatsou, P. (2013). Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia. Parasites & Vectors, 6(1), 152. doi:10.1186/1756-3305-6-152
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Last of the Wild v2 (Human Footprint)
NASA REMOTE SENSING (SRTM)
NASA REMOTE SENSING (MODIS)

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)

Clemente Beyer, A., Jiménez Hernández, A., & Del Cid Mendoza, V. (2019). Climate change risk of artisanal fishing and community led tourism in the Gulf of Montijo, Panamá. UNED Research Journal, 11(1), 562-570. doi:10.22458/URJ.V11I1.2323
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1) - 10.7927/H49P2ZKM

Committee on the Earth System Science for Decisions About Human Welfare: Contributions of Remote Sensing, G. S. C., National Research Council. (2007). Contributions of Land Remote Sensing for Decisions About Food Security and Human Health: Workshop Report. Washington DC: National Academies Press.
Gridded Population of the World (GPW) v3 (collection)
Natural Disaster Hotspots (collection)
Poverty Mapping (collection)

de Sherbinin, A. M. (2008). Is poverty more acute near parks? An assessment of infant mortality rates around protected areas in developing countries. Oryx, 42(1), 26-35. doi:10.1017/S0030605308000781
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Atlas of Poverty)

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., 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)

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)

DiLorenzo, M. (2023). International politics and the subnational allocation of World Bank development projects. Political Studies Review, 21(2), 400-411. doi:10.1177/14789299231153821
Gridded Population of the World (GPW) v4 (population count UN WPP-adjusted)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Dimico, A. (2014). Poverty Trap and Educational Shock:  Evidence From Missionary Fields. Retrieved from Belfast: http://www.quceh.org.uk/uploads/1/0/5/5/10558478/wp14-07.pdf
Gridded Population of the World (GPW) v3 (population density)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Dowd, C. (2015). Cultural and religious demography and violent Islamist groups in Africa. Political Geography, 45, 11-21. doi:10.1016/j.polgeo.2014.09.006
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Dowd, C. (2019). Fragmentation, conflict, and competition: Islamist anti-civilian violence in sub-Saharan Africa. Terrorism and Political Violence, 31(3), 433-453. doi:10.1080/09546553.2016.1233870
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Duarte-Guardia, S., Peri, P., Amelung, W., Thomas, E., Borchard, N., Baldi, G., . . . Ladd, B. (2020). Biophysical and socioeconomic factors influencing soil carbon stocks: a global assessment. Mitigation and Adaptation Strategies for Global Change, 25, 1129-1148. doi:10.1007/s11027-020-09926-1
Spatial Economic Data (Global Gridded Geographically Based Economic Data (G-Econ), v4)
Last of the Wild v2 Global Human Influence Index (Geographic) - 10.7927/H4BP00QC
Poverty Mapping (Global Subnational Infant Mortality Rates, v1) - 10.7927/H4PZ56R2

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)

Elvidge, C. D., Sutton, P. C., Ghosh, T., Tuttle, B. T., Baugh, K. E., Bhaduri, B., & Bright, E. (2009). A global poverty map derived from satellite data. Computers & Geosciences, 35(8), 1652-1660. doi:10.1016/j.cageo.2009.01.009
Poverty Mapping (Atlas of Poverty)
REMOTE SENSING (DMSP-OLS)

Erenstein, O., Hellin, J., & Chandna, P. (2010). Poverty mapping based on livelihood assets: A meso-level application in the Indo-Gangetic Plains, India. Applied Geography, 30(1), 112-125. doi:10.1016/j.apgeog.2009.05.001
Poverty Mapping (Atlas of Poverty)

Faurès, J.-M., & Santini, G. (2008). Water and the Rural Poor:  Interventions for Improving Livelihoods in Sub-Saharan Africa. Retrieved from Rome: http://www.fao.org/docrep/010/i0132e/i0132e00.htm
ftp://ftp.fao.org/docrep/fao/010/i0132e/i0132e.pdf
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Feldacker, C., Ennett, S. T., & Speizer, I. (2011). It's not just who you are but where you live: An exploration of community influences on individual HIV status in rural Malawi. Social Science & Medicine, 72(5), 717-725. doi:10.1016/j.socscimed.2011.01.003
Poverty Mapping (collection)

Feyrer, J. (2009). Trade and Income - Exploiting Time Series in Geography. Retrieved from Cambridge: https://doi.org/10.3386/w14910
Poverty Mapping (collection)

Fist, T., Adesanya, A. A., Denkenberger, D., & Pearce, J. M. (2021). Global distribution of forest classes and leaf biomass for use as alternative foods to minimize malnutrition. World Food Policy, 7(2), 128-146. doi:10.1002/wfp2.12030
Gridded Population of the World (GPW) v4.11 (population count)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1) - 10.7927/H4K64G12

Gamble, M. V., Liu, X., Slavkovich, V., Pilsner, J. R., Ilievski, V., Factor-Litvak, P., . . . Graziano, J. H. (2007). Folic acid supplementation lowers blood arsenic. American Journal of Clinical Nutrition, 86(4), 1202-1209. doi:10.1093/ajcn/86.4.1202
Poverty Mapping (collection)

Gerber, N., Nkonya, E., & Braun, J. (2014). Land Degradation, Poverty and Marginality. In J. von Braun & F. W. Gatzweiler (Eds.), Marginality (pp. 181-202): Springer Netherlands.
Poverty Mapping (collection)
NASA REMOTE SENSING (MODIS NDVI)

Hall, O., Duit, A., & Caballero, L. N. C. (2008). World poverty, environmental vulnerability and population at risk for natural hazards. Journal of Maps, 2008, 151-160. doi:10.4113/jom.2008.95
Gridded Population of the World (GPW) v3 (population count)
Gridded Population of the World (GPW) v3 (population density)
Natural Disaster Hotspots (collection)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Harou, A., Liu, Y., Barrett, C. B., & You, L. (2014). Variable Returns to Fertilizer Use and Its Relationship to Poverty:  Experimental and Simulation Evidence from Malawi. Retrieved from Washington DC: http://www.ifpri.org/sites/default/files/publications/ifpridp01373.pdf
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1)

Hauenstein, S., Kshatriya, M., Blanc, J., Dormann, C. F., & Beale, C. M. (2019). African elephant poaching rates correlate with local poverty, national corruption and global ivory price. Nature Communications, 10(1), 2242. doi:10.1038/s41467-019-09993-2
Poverty Mapping (Global Subnational Infant Mortality Rates, v1) - 10.7927/H4PZ56R2

Helman, D., & Zaitchik, B. F. (2020). Temperature anomalies affect violent conflicts in African and Middle Eastern warm regions. Global Environmental Change, 63, 102118. doi:10.1016/j.gloenvcha.2020.102118
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Hennig, B. D. (2013). Rediscovering the World: Springer Berlin Heidelberg.
Gridded Population of the World (GPW) v3 (collection)
Poverty Mapping (collection)

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)

Hodson, D. P., & White, J. W. (2007). Use of spatial analyses for global characterization of wheat-based production systems. The Journal of Agricultural Science, 145(2), 115-125. doi:10.1017/S0021859607006855
Poverty Mapping (collection)

Hotez, P. J. (2013). NTDs V.2.0: “Blue Marble Health”—Neglected Tropical Disease Control and Elimination in a Shifting Health Policy Landscape. PLoS Neglected Tropical Diseases, 7(11), e2570. doi:10.1371/journal.pntd.0002570
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1)
NASA REMOTE SENSING (Blue Marble)

Hummel, M., Hallahan, B. F., Brychkova, G., Ramirez-Villegas, J., Guwela, V., Chataika, B., . . . Spillane, C. (2018). Reduction in nutritional quality and growing area suitability of common bean under climate change induced drought stress in Africa. Scientific Reports, 8(1), 16187. doi:10.1038/s41598-018-33952-4
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Hyman, G., Barona, E., Biradar, C. M., Guevara, E., Dixon, J., Beebe, S., . . . Cardona, J. (2016). Priority regions for research on dryland cereals and legumes. F1000Research, 5(885), 20pp. doi:10.12688/f1000research.8657.2
Gridded Population of the World (GPW) v3 (population count)
Gridded Population of the World (GPW) v4 Preliminary release 2 (population count)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Hyman, G., Fujisaka, S., Jones, P., Wood, S., de Vicente, M. C., & Dixon, J. (2008). Strategic approaches to targeting technology generation: Assessing the coincidence of poverty and drought-prone crop production. Agricultural Systems, 98(1), 50-61. doi:10.1016/j.agsy.2008.04.001
Gridded Population of the World (GPW) v3 (population count)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Jones, H. P., Nickel, B., Srebotnjak, T., Turner, W., Gonzalez-Roglich, M., Zavaleta, E., & Hole, D. G. (2020). Global hotspots for coastal ecosystem-based adaptation. PLoS ONE, 15(5), e0233005. doi:10.1371/journal.pone.0233005
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

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)

Karagiannis-Voules, D.-A., Scholte, R. G. C., Guimarães, L. H., Utzinger, J., & Vounatsou, P. (2013). Bayesian geostatistical modeling of Leishmaniasis incidence in Brazil. PLoS Neglected Tropical Diseases, 7(5), e2213. doi:10.1371/journal.pntd.0002213
Gridded Population of the World (GPW) v3 (population density)
Last of the Wild v2 (Global Human Footprint (Geographic))
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Katariya, V., & Chanson, J. (2008). Amphibians and humans sharing only one planet. In S. Stuart, M. Hoffman, J. Chanson, N. Cox, R. Berridge, P. Ramani, & B. Young (Eds.), Threatened Amphibians of the World (pp. 46). Barcelona: IUCN and Conservation International.
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Keys, P., W., & Wang-Erlandsson, L. (2018). On the social dynamics of moisture recycling. Earth System Dynamics, 9, 829-847. doi:10.5194/esd-9-829-2018
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1) - 10.7927/H4K64G12

Kok, M. T. J., Lüdeke, M. K. B., Lucas, P. L., Sterzel, T., Walther, C., Janssen, P., . . . de Soysa, I. (2016). A new method for analysing socio-ecological patterns of vulnerability. Regional Environmental Change, 16(1), 229-243. doi:10.1007/s10113-014-0746-1
Poverty Mapping (collection)

Kok, M. T. J., Lüdeke, M. K. B., Sterzel, T., Lucas, P. L., Walther, C., Janssen, P., & de Soysa, I. (2010). Quantitative Analysis of Patterns of Vulnerability to Global Environmental Change. Retrieved from http://www.rivm.nl/bibliotheek/rapporten/550025005.pdf
Gridded Population of the World (GPW) v3 (unspecified)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

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)

Lodha, S., Gunawardane, P., Middleton, E., & Crow, B. (2009). Understanding relationships between global health indicators via visualisation and statistical analysis. Journal of International Development, 21(8), 1152-1166. doi:10.1002/jid.1652
Poverty Mapping (collection)

Lucas, P., Kok, M. T. J., Hilderink, H. B. M., & Ludeke, M. K. B. (2013). Human security at risk. In L. Sygna, K. O'Brien, & J. Wolf (Eds.), A Changing Environment for Human Security:  Transformative Approaches to Research, Policy and Action (pp. 91-129): Routledge Taylor & Francis.
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

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)

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

Mammides, C. (2020). Evidence from eleven countries in four continents suggests that protected areas are not associated with higher poverty rates. Biological Conservation, 241, 108353. doi:10.1016/j.biocon.2019.108353
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1)

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)

Marineau, J., Pascoe, H., Braithwaite, A., Findley, M., & Young, J. (2018). The local geography of transnational terrorism. Conflict Management and Peace Science, 37(3), 350-381. doi:10.1177/0738894218789356
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Martínez Flores, F., Milusheva, S., & Reichert, A. R. (2021). Climate Anomalies and International Migration: A Disaggregated Analysis for West Africa. Retrieved from Washington DC: http://hdl.handle.net/10986/35612
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ

Marx, S., Phalkey, R., Aranda, C., Profe, J., Sauerborn, R., & Hofle, B. (2014). Geographic information analysis and web-based geoportals to explore malnutrition in Sub-Saharan Africa: a systematic review of approaches. BMC Public Health, 14(1), 1189. doi:10.1186/1471-2458-14-1189
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

McCauley, J. F. (2021). Clientelism and community support in times of crisis: Evidence following floods in Ghana. Studies in Comparative International Development, 56, 413-434. doi:10.1007/s12116-021-09329-6
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

McKay, A., & Deshingkar, P. (2014). Internal Remittances and Poverty: Further Evidence from Africa and Asia. Retrieved from Brighton, UK: http://migratingoutofpoverty.dfid.gov.uk/publications/workingpapers
http://migratingoutofpoverty.dfid.gov.uk/files/file.php?name=wp-12---mckay-and-deshingkar-internal-remittances-and-poverty.pdf&site=354
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1)

Michalopoulos, S., & Papaioannou, E. (2011). Divide and Rule or the Rule of the Divided? Evidence from Africa. Retrieved from Cambridge, MA: https://doi.org/10.3386/w17184
Gridded Population of the World (GPW) v3 (population density)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Michelini, S., Šedová, B., Schewe, J., & Frieler, K. (2023). Extreme weather impacts do not improve conflict predictions in Africa. Humanities and Social Sciences Communications, 10(1), 522. doi:10.1057/s41599-023-01996-1
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Mirzabaev, A., Nkonya, E., Goedecke, J., Johnson, T., & Anderson, W. (2016). Global drivers of land degradation and improvement. In E. Nkonya, A. Mirzabaev, & J. von Braun (Eds.), Economics of Land Degradation and Improvement – A Global Assessment for Sustainable Development (pp. 167-195): Springer International Publishing.
Gridded Population of the World (GPW) v3 (population density)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Mittelman, J. (2008). Beyond impoverished anti-poverty paradigms. Third World Quarterly, 29(8), 1639-1652. doi:10.1080/01436590802528788
Poverty Mapping (collection)

Mittermeier, R. A., Turner, W. R., Larsen, F. W., Brooks, T. M., & Gascon, C. (2011). Global Biodiversity Conservation: The Critical Role of Hotspots. In F. E. Zachos & J. C. Habel (Eds.), Biodiversity Hotspots (pp. 3-22): Springer Berlin Heidelberg.
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

National Research Council. (2012). Climate and Social Stress: Implications for Security Analysis: The National Academies Press.
Poverty Mapping (collection)

Nkonya, E., & Anderson, W. (2015). Exploiting provisions of land economic productivity without degrading its natural capital. Journal of Arid Environments, 112(Part A), 33-43. doi:10.1016/j.jaridenv.2014.05.012
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

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)

Noy, I., Doan, N., Ferrarini, B., & Park, D. (2020). The Economic Risk of COVID-19 in Developing Countries: Where is it Highest? Retrieved from London: http://www.lse.ac.uk/fmg/assets/documents/papers/special-papers/SP257.pdf
Spatial Economic Data (Global Gridded Geographically Based Economic Data (G-Econ), v4)
Gridded Population of the World (GPW) v4.11 (population density UN WPP-adjusted) - 10.7927/H4F47M65
Population Dynamics (Global Estimated Net Migration Grids By Decade, v1) - 10.7927/H4319SVC
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ

Noy, I., Doan, N., Ferrarini, B., & Park, D. (2020). Measuring the economic risk of COVID-19. Global Policy, 11(4), 413-423. doi:10.1111/1758-5899.12851
Spatial Economic Data (Global Gridded Geographically Based Economic Data (G-Econ), v4)
Gridded Population of the World (GPW) v4.11 (population density UN WPP-adjusted) - 10.7927/H4F47M65
Population Dynamics (Global Estimated Net Migration Grids By Decade, v1) - 10.7927/H4319SVC
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ

Otto, I. M., Biewald, A., Coumou, D., Feulner, G., Kohler, C., Nocke, T., . . . Beck, U. (2015). Socio-economic data for global environmental change research. Nature Climate Change, 5(6), 503-506. doi:10.1038/nclimate2593
Gridded Population of the World (GPW) v3 (population density)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Owen, K. K., Obregón, E. J., & Jacobsen, K. H. (2010). A geographic analysis of access to health services in rural Guatemala. International Health, 2(2), 143-149. doi:10.1016/j.inhe.2010.03.002
Poverty Mapping (collection)

Parshall, L., Pillai, D., Mohan, S., Sanoh, A., & Modi, V. (2009). National electricity planning in settings with low pre-existing grid coverage: Development of a spatial model and case study of Kenya. Energy Policy, 37(6), 2395-2410. doi:10.1016/j.enpol.2009.01.021
Poverty Mapping (collection)

Partha, D. B., Cassidy-Bushrow, A. E., & Huang, Y. (2022). Global preterm births attributable to BTEX (benzene, toluene, ethylbenzene, and xylene) exposure. Science of The Total Environment, 838(Part 4), 156390. doi:10.1016/j.scitotenv.2022.156390
Poverty Mapping (Global Subnational Infant Mortality Rates, v2.01)

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)

Petrie, B., Chapman, A., Midgley, A., & Parker, R. (2014). Risk, Vulnerability and Resilience in the Limpopo River Basin. Retrieved from Cape Town: 
Human Appropriation of Net Primary Productivity (HANPP) (collection)
Natural Disaster Hotspots (cyclone hazard frequency and distribution)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)
REMOTE SENSING (DMSP-OLS)

Pickering, S. (2016). Introducing SpatialGridBuilder: A new system for creating geo-coded datasets. Conflict Management and Peace Science, 33(4), 423-447. doi:10.1177/0738894215581320
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Pilsner, J. R., Liu, X., Ahsan, H., Ilievski, V., Slavkovich, V., Levy, D., . . . Gamble, M. V. (2007). Genomic methylation of peripheral blood leukocyte DNA: influences of arsenic and folate in Bangladeshi adults2. The American Journal of Clinical Nutrition, 86(4), 1179-1186. doi:10.1093/ajcn/86.4.1179
Poverty Mapping (collection)

Pilsner, J. R., Liu, X., Ahsan, H., Ilievski, V., Slavkovich, V., Levy, D., . . . Gamble, M. V. (2009). Folate deficiency, hyperhomocysteinemia, low urinary creatinine, and hypomethylation of leukocyte DNA are risk factors for arsenic-induced skin lesions. Environmental Health Perspectives, 117(2), 254-260. doi:10.1289/ehp.11872
Poverty Mapping (Atlas of Poverty)

Pires, S. F., & Clarke, R. V. (2011). Sequential foraging, itinerant fences and parrot poaching in Bolivia. British Journal of Criminology, 51(2), 314-335. doi:10.1093/bjc/azq074
Poverty Mapping (collection)
Gridded Species Distribution (collection)

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)

Python, A., Bender, A., Nandi, A. K., Hancock, P. A., Arambepola, R., Brandsch, J., & Lucas, T. C. D. (2021). Predicting non-state terrorism worldwide. Science Advances, 7(31), eabg4778. doi:10.1126/sciadv.abg4778
Gridded Population of the World (GPW) v4.10 (population density)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
NASA REMOTE SENSING (SRTM)
REMOTE SENSING (DMSP-OLS)

Rabaa, M. A., Ty Hang, V. T., Wills, B., Farrar, J., Simmons, C. P., & Holmes, E. C. (2010). Phylogeography of recently emerged DENV-2 in southern Viet Nam. PLoS Neglected Tropical Diseases, 4(7), e766. doi:10.1371/journal.pntd.0000766
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1)

Raitzer, D. A., & Maredia, M. K. (2012). Analysis of agricultural research investment priorities for sustainable poverty reduction in Southeast Asia. Food Policy, 37(4), 412-426. doi:10.1016/j.foodpol.2012.04.001
Poverty Mapping (collection)

Raleigh, C., & Kniveton, D. (2012). Come rain or shine: An analysis of conflict and climate variability in East Africa. Journal of Peace Research, 49(1), 51-64. doi:10.1177/0022343311427754
Gridded Population of the World (GPW) v3
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Rarieya, M., & Fortun, K. (2010). Food security and seasonal climate information: Kenyan challenges. Sustainability Science, 5(1), 99-114. doi:10.1007/s11625-009-0099-8
Poverty Mapping (Atlas of Poverty)

Rathi, A. (2016). A solution to one of the world’s biggest health problems could be fecal pills.  Retrieved from http://qz.com/622636/a-solution-to-one-of-the-worlds-biggest-health-problems-could-be-fecal-pills/
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1) map

Reddington, C. L., Conibear, L., Robinson, S., Knote, C., Arnold, S. R., & Spracklen, D. V. (2021). Air pollution from forest and vegetation fires in Southeast Asia disproportionately impacts the poor. GeoHealth, 5(9), e2021GH000418. doi:10.1029/2021GH000418
Gridded Population of the World (GPW) v4 (land and water area) - 10.7927/H45M63M9
Gridded Population of the World (GPW) v4 (population count) - 10.7927/H4X63JVC
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ

Redford, K. H., Levy, M. A., Sanderson, E. W., & de Sherbinin, A. M. (2008). What is the role for conservation organizations in poverty alleviation in the world's wild places? Oryx, 13pp. doi:10.1017/S0030605308001889
Gridded Population of the World (GPW) v3 (population count)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Rezaeedaryakenari, B., Landis, S. T., & Thies, C. G. (2020). Food price volatilities and civilian victimization in Africa. Conflict Management and Peace Science, 37(2), 193-214. doi:10.1177/0738894217729527
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Gridded Population of the World (GPW) v3 (population density future estimates) - 10.7927/H4ST7MRB
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
REMOTE SENSING (DMSP-OLS)

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

Rigaud, K. K., de Sherbinin, A., Jones, B., Adamo, S., Maleki, D., Arora, A., . . . Mills, B. (2021). Groundswell Africa : Internal Climate Migration in the Lake Victoria Basin Countries. Retrieved from Washington DC: https://openknowledge.worldbank.org/handle/10986/36403
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) v4.11 (population density UN WPP-adjusted) - 10.7927/H4F47M65
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ

Safi, K., & Pettorelli, N. (2010). Phylogenetic, spatial and environmental components of extinction risk in carnivores. Global Ecology and Biogeography, 19(3), 352-362. doi:10.1111/j.1466-8238.2010.00523.x
Last of the Wild v2 (Global Human Footprint (Geographic))
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Sánchez-Soriano, C., Gibson, A. D., Gamble, L., Burdon Bailey, J. L., Green, S., Green, M., . . . Mazeri, S. (2019). Development of a high number, high coverage dog rabies vaccination programme in Sri Lanka. BMC Infectious Diseases, 19(1), 977. doi:10.1186/s12879-019-4585-z
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Sartorius, B. K. D., & Sartorius, K. (2014). A new multidimensional population health indicator for policy makers: absolute level, inequality and spatial clustering - an empirical application using global sub-national infant mortality data. Geospatial Health, 9(1), 7-26. doi:10.4081/gh.2014.2
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Scholte, R. G. C., Schur, N., Bavia, M. E., Carvalho, E. M., Chammartin, F., Utzinger, J., & Vounatsou, P. (2013). Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models. Geospatial Health, 8(1), 97-110. doi:10.4081/gh.2013.58
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Last of the Wild v2 (Human Influence Index)
NASA REMOTE SENSING (MODIS)

Sietz, D. (2014). Regionalisation of global insights into dryland vulnerability: Better reflecting smallholders’ vulnerability in Northeast Brazil. Global Environmental Change, 25, 173-185. doi:10.1016/j.gloenvcha.2014.01.010
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Sietz, D., & Feola, G. (2016). Resilience in the rural Andes: critical dynamics, constraints and emerging opportunities. Regional Environmental Change, 16(8), 2163-2169. doi:10.1007/s10113-016-1053-9
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Sietz, D., Lüdeke, M. K. B., & Walther, C. (2011). Categorisation of typical vulnerability patterns in global drylands. Global Environmental Change, 21(2), 431-440. doi:10.1016/j.gloenvcha.2010.11.005
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Smidt, H. M. (2020). Mitigating election violence locally: UN peacekeepers’ election-education campaigns in Côte d’Ivoire. Journal of Peace Research, 57(1), 199-216. doi:10.1177/0022343319884993
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Smidt, H. M. (2020). United Nations peacekeeping locally: Enabling conflict resolution, reducing communal violence. Journal of Conflict Resolution, 64(2-3), 344-372. doi:10.1177/0022002719859631
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Sterzel, T., Lüdeke, M., Kok, M., Walther, C., Sietz, D., Soysa, I., . . . Janssen, P. (2014). Armed conflict distribution in global drylands through the lens of a typology of socio-ecological vulnerability. Regional Environmental Change, 14(4), 1419-1435. doi:10.1007/s10113-013-0553-0
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

Stojanova, D., Ceci, M., Appice, A., Malerba, D., & Džeroski, S. (2013). Dealing with spatial autocorrelation when learning predictive clustering trees. Ecological Informatics, 13(1), 22-39. doi:10.1016/j.ecoinf.2012.10.006
Poverty Mapping (collection)

Storeygard, A., Balk, D., Levy, M. A., & Deane, G. (2008). The global distribution of infant mortality: a subnational spatial view. Population, Space and Place, 14(3), 209-229. doi:10.1002/psp.484
Gridded Population of the World (GPW) v3 (land and geographic unit area grids)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

Sweeney, G., Hand, M., Kaiser, M., Clark, J. K., Rogers, C., & Spees, C. (2015). The state of food mapping: Academic literature since 2008 and review of online GIS-based food mapping resources. Journal of Planning Literature, 31(2), 123-219. doi:10.1177/0885412215599425
Poverty Mapping (collection)

Świąder, M., Szewrański, S., & Kazak, J. (2016). Spatial-temporal diversification of poverty in Wroclaw. Procedia Engineering, 161, 1596-1600. doi:10.1016/j.proeng.2016.08.632
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1) maps

Szabo, S. (2016). Urbanisation, Human Capital and Safe Drinking Water. In Urbanisation and Inequalities in a Post-Malthusian Context (pp. 57-77): Springer International Publishing.
Poverty Mapping (collection)

Szabó, S., Pinedo Pascua, I., Puig, D., Moner-Girona, M., Negre, M., Huld, T., . . . Kammen, D. (2021). Mapping of affordability levels for photovoltaic-based electricity generation in the solar belt of sub-Saharan Africa, East Asia and South Asia. Scientific Reports, 11(1), 3226. doi:10.1038/s41598-021-82638-x
Poverty Mapping (Small Area Estimates of Poverty and Inequality, v1)

Tallis, H., & Polasky, S. (2009). Mapping and valuing ecosystem services as an approach for conservation and natural-resource management. Annals of the New York Academy of Sciences, 1162(The Year in Ecology and Conservation Biology 2009), 265-283. doi:10.1111/j.1749-6632.2009.04152.x
Poverty Mapping (Atlas of Poverty)

Tennant, E., & Gilmore, E. A. (2020). Government effectiveness and institutions as determinants of tropical cyclone mortality. Proceedings of the National Academy of Sciences, 117(46), 28692-28699. doi:10.1073/pnas.2006213117
Gridded Population of the World (GPW) v4.10 (population count UN WPP-adjusted) - 10.7927/H4JQ0XZW
Population Dynamics (Global Population Count Grid Time Series Estimates, v1) - 10.7927/H4CC0XNV
Poverty Mapping (Global Subnational Infant Mortality Rates, v1) - 10.7927/H4PZ56R2

Thornton, P. K., Ericksen, P. J., Herrero, M., & Challinor, A. J. (2014). Climate variability and vulnerability to climate change: a review. Global Change Biology, 20(11), 3313-3328. doi:10.1111/gcb.12581
Gridded Population of the World (GPW) v3 (population count)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

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Gridded Population of the World (GPW) v4.11 (population density) - 10.7927/H49C6VHW
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ

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Poverty Mapping (collection)

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Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)

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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)

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Last of the Wild v2 (Global Human Footprint (Geographic))
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (Landsat)

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Gridded Species Distribution (Mammals 2015)
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ

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Gridded Population of the World (GPW) v3 (population count future estimates)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)

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Poverty Mapping (Global Subnational Infant Mortality Rates, v2.01)

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Gridded Population of the World (GPW) v4 (unspecified)
Poverty Mapping (Global Subnational Infant Mortality Rates, v2) - 10.7927/H4PN93JJ
West Africa Coastal Vulnerability Mapping (Social Vulnerability Indices, v1) - 10.7927/H4H41PCK