Displaying 1 - 10 of 12
Operations
Addison, Tony; Boly, Amadou; Mvenyange, Anthony. 2016. Mining and Economic Development: Did China's WTO Accession Affect African Local Economic Development?. [World Bank Policy Research Working Paper] The World Bank. Issue: WPS7906: 38 pp
Related URL(s): http://documents.worldbank.org/curated/en/414931480967981511/Mining-and-economic…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Report)
export
BenYishay, Ariel; Heuser, Silke; Runfola, Daniel; Trichler, Rachel. 2016. Indigenous Land Rights and Deforestation: Evidence from the Brazilian Amazon. AidData. Issue: Working Paper 22: 45
Related URL(s): http://aiddata.org/sites/default/files/wps22_indigenous_land_rights_and_deforest…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
groads
(Report)
export
Buchanan, Graeme M.; Parks, Bradley C.; Donald, Paul F.; O'Donnell, Brian F.; Runfola, Daniel; Swaddle, John P.; Tracewski, Łukasz; Butchart, Stuart H. M. 2016. The Impacts of World Bank Development Projects on Sites of High Biodiversity Importance. AidData. Working Paper 20: 29
Related URL(s): http://aiddata.org/sites/default/files/wps20_world_bank_biodiversity_0.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Report)
export
Doupe, Patrick; Bruzelius, Emilie; Faghmous, James; Ruchman, Samuel G. 2016. Equitable development through deep learning: The case of sub-national population density estimation. [Proceedings of the 7th Annual Symposium on Computing for Development] pp: 1-10 DOI: https://doi.org/10.1145/3001913.3001921
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Conference Paper)
export
Pinkovskiy, Maxim; Sala-i-Martin, Xavier. 2016. Lights, Camera,....Income! Estimating Poverty using National Accounts, Survey Means and Lights. [Allied Social Science Associations ] pp: 46
Related URL(s): https://www.aeaweb.org/conference/2016/preliminary.php
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Conference Paper)
export
Wang, Jiao; Zhong, Lijin; Long, Ying. 2016. Baseline Water Stress: China. [Technical Note] World Resources Institute. pp: 15 pp.
Related URL(s): http://www.wri.org/publication/baseline-water-stress-china
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Report)
export
Almås, Ingvid; Johnsen, Åshild Auglænd; Kotsadam, Andreas. 2014. Poverty in China as Seen from Outer Space. Department of Economics, University of Oslo. Issue: Memorandum 11/2014: 17
Related URL(s): http://www.sv.uio.no/econ/english/research/unpublished-works/working-papers/pdf-…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Report)
export
Droogers, Peter; de Boer, Froukje; Terink, Wilco. 2014. Water Allocation Models for the Umbeluzi River Basin, Mozambique. FutureWater. pp: 69
Related URL(s): http://www.futurewater.nl/wp-content/uploads/2015/01/WAM_ARASul_final.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Report)
export
Gassert, Francis; Luck, Matt; Landis, Matt; Reig, Paul; Shiao, Tien. 2014. Aqueduct Global Maps 2.1: Constructing Decision Relevant Global Water Risk Indicators. Working Paper. World Resources Institute. pp: 31
Related URL(s): http://www.wri.org/publication/aqueduct-global-maps-21-indicators
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Report)
export
Gassert, Francis; Landis, Matt; Luck, Matt; Reig, Paul; Shiao, Tien. 2014. Aqueduct Global Maps 2.1: Aqueduct Metadata Document. World Resources Institute. pp: 20
Related URL(s): http://www.wri.org/sites/default/files/Aqueduct_Global_Maps_2.1.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Report)
export

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