AReNA’s DHS-GIS Database

International Food Policy Research Institute; IFPRI-KM; Zhe, Guo; Quabili, Wahid; You, Liangzhi; Headey, Derek

AReNA’s DHS-GIS Database

2020

International Food Policy Research Institute (IFPRI) | IFPRI-KM | Zhe, Guo (International Food Policy Research Institute (IFPRI)) | Quabili, Wahid (International Food Policy Research Institute (IFPRI)) | You, Liangzhi (International Food Policy Research Institute (IFPRI)) | Headey, Derek (International Food Policy Research Institute (IFPRI))

Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020. The objective of AReNA is to close important knowledge gaps on the links between nutrition and agriculture, with a particular focus on conducting policy-relevant research at scale and crowding in more research on this issue by creating data sets and analytical tools that can benefit the broader research community. Much of the research on agriculture and nutrition is hindered by a lack of data, and many of the datasets that do contain both agriculture and nutrition information are often small in size and geographic scope. AReNA team constructed a large multi-level, multi-country dataset combining nutrition and nutrition-relevant information at the individual and household level from the Demographic and Health Surveys (DHS) with a wide variety of geo-referenced data on agricultural production, agroecology, climate, demography, and infrastructure (GIS data). This dataset includes 60 countries, 184 DHS, and 122,473 clusters. Over one thousand geospatial variables are linked with DHS. The entire dataset is organized into 13 individual files: DHS_distance, DHS_livestock, DHS_main, DHS_malaria, DHS NDVI, DHS_nightlight, DHS_pasture and climate (mean), DHS_rainfall, DHS_soil, DHS_SPAM, DHS_suit, DHS_temperature, and DHS_traveltime.

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AGROVOC Keywords

agricultural production agricultural sciences agroecology climate geographical information systems geospatial data infrastructure livestock malaria ndvi normalized difference vegetation index nutrition pastures rainfall social sciences soil temperature

Bibliographic information

Publisher

Harvard Dataverse

Language

English

Type

Dataset

Source

Balk, D.L.; Deichmann, U; Yetman, G.; Pozzi, F; Hay, S. I., and Nelson, A. 2006. Determining Global Population Distribution: Methods, Applications and Data. Advances in Parasitology 62:119-156. <a href="https://doi.org/10.1016/S0065-308X(05)62004-0">https://doi.org/10.1016/S0065-308X(05)62004-0</a>, Bhatt, S.; Weiss, D.; Cameron, E. et al. 2015. The Effect of Malaria Control on Plasmodium Falciparum in Africa Between 2000 and 2015. Nature 526, 207–211 (2015). <a href="https://doi.org/10.1038/nature15535">https://doi.org/10.1038/nature15535</a>, Center for International Earth Science Information Network (CIESIN), Columbia University; International Food Policy Research Institute (IFPRI); The World Bank; and Centro Internacional de Agricultura Tropical (CIAT.). 2011. Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Population Density Grid. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). <a href="https://doi.org/10.7927/H4R20Z93">https://doi.org/10.7927/H4R20Z93</a>, DeFries, R.S.; Hansen, M.C.; Townshend, J.R.G.; Janetos, A.C.; and Loveland, Thomas R. 2000. A New Global 1-KM Dataset of Percentage Tree Cover Derived From Remote Sensing. Global Change Biology, 6:247-254. <a href="https://doi.org/10.1046/j.1365-2486.2000.00296.x">https://doi.org/10.1046/j.1365-2486.2000.00296.x</a>, Didan, K. 2015. MOD13C2 - MODIS/Terra Vegetation Indices Monthly L3 Global 0.05Deg CMG V006 [Dataset]. NASA EOSDIS LP DAAC. <a href="https://doi.org/10.5067/MODIS/MOD13C2.006">https://doi.org/10.5067/MODIS/MOD13C2.006</a>, Doll, Christopher N.H.; Muller, Jan-Peter; Elvidge, Christopher D. 2000. Night-Time Imagery as a Tool for Global Mapping of Socioeconomic Parameters and Greenhouse Gas Emissions. Ambio, 29 (3), 157–162. <a href="http://www.jstor.org/stable/4315020">http://www.jstor.org/stable/4315020</a>, Elvidge, Christopher D.; Baugh, Kimberly E.; Kihn, E.A.; Kroehl, H.W.; Davis, E. R.; Davis, C.W. 1997. Relation Between Satellite Observed Visible-Near Infrared Emissions, Population, Economic Activity and Electric Power Consumption. International Journal of Remote Sensing, 18 (6), 1373-1379. <a href="https://doi.org/10.1080/014311697218485">https://doi.org/10.1080/014311697218485</a>, Elvidge, Christopher D.; Imhoff, Marc L.; Baugh, Kimberly E.; Hobson, Vinita Ruth; Nelson, Ingrid; Safran, Jeff; Dietz, John B.; Tuttle, Benjamin T. 2001. Night-Time Lights of the World: 1994–1995. ISPRS Journal of Photogrammetry and Remote Sensing, 56 (2), 81-99. <a href="https://doi.org/10.1016/S0924-2716(01)00040-5">https://doi.org/10.1016/S0924-2716(01)00040-5</a>, Elvidge, Christopher D.; Sutton, Paul C.; Ghosh, Tilottama; Tuttle, Benjamin T.; Baugh, Kimberly E.; Bhaduri, Budhendra; Bright, Edward. 2009. A Global Poverty Map Derived From Satellite Data. Computers & Geosciences, 35 (8): 1652-1660. <a href="https://doi.org/10.1016/j.cageo.2009.01.009">https://doi.org/10.1016/j.cageo.2009.01.009</a>, FAO. 1981. Report on the Agro-Ecological Zones Project. World Soil Resources Report No 48, Vol.1-4. Rome, FAO. <a href="http://www.fao.org/3/a-bl893e.pdf">http://www.fao.org/3/a-bl893e.pdf</a>, Fick, Stephen E.; Hijmans, Robert J. 2017. Worldclim 2: New 1‐KM Spatial Resolution Climate Surfaces for Global Land Areas. International Journal of Climatology, 37:4302-4315.<a href="https://doi.org/10.1002/joc.5086">https://doi.org/10.1002/joc.5086</a>, Fischer, G.; Nachtergaele, F.O.; Prieler, S.; Teixeira, E.; Tóth, G.; van Velthuizen, H.; Verelst, L.; Wiberg, D. 2013. Global Agro‐Ecological Zones (GAEZ v3.0). <a href="http://gaez.fao.org/Main.html#">http://gaez.fao.org/Main.html#</a>. Accessed October 2013, Global Agro-ecological Assessment for Agriculture in the 21st Century (GAEZ v 2.0), FAO/IIASA. 2002, Guo, Zhe; Koo, Jawoo; Wood, Stanley. 2009. Fertilizer Profitability in East Africa: A Spatially Explicit Policy Analysis. International Association of Agricultural Economists 2009 Conference, August 16–22, 2009, Beijing, China. <a href="http://dx.doi.org/10.22004/ag.econ.51710">http://dx.doi.org/10.22004/ag.econ.51710</a>, Guo, Zhe; Cox, Cindy M. 2014. Market Access. In Atlas of African Agriculture Research and Development: Revealing Agriculture's Place in Africa. Sebastian, Kate, Ed. Pp. 66-67. Washington, D.C.: International Food Policy Research Institute (IFPRI). <a href="http://dx.doi.org/10.2499/9780896298460_28">http://dx.doi.org/10.2499/9780896298460_28</a>, Hengl Tomislav; de Jesus Jorge Mendes; MacMillan Robert A.; Batjes Niels H.; Heuvelink Gerald B.M.; et al. 2014. SoilGrids1km — Global Soil Information Based on Automated Mapping. PLoS ONE 9(8): e105992. <a href="https://doi.org/10.1371/journal.pone.0105992">https://doi.org/10.1371/journal.pone.0105992</a>, Hengl Tomislav; de Jesus Jorge Mendes; Heuvelink, Gerard B.M.; Gonzalez, Ruiperez M.; Kilibarda, Milan; et al. 2017. Soilgrids250m: Global Gridded Soil Information Based on Machine Learning. PLoS ONE 12(2): e0169748. <a href="https://doi.org/10.1371/journal.pone.0169748">https://doi.org/10.1371/journal.pone.0169748</a>, National Center for Atmospheric Research Staff (Eds). Last modified 02 Aug 2017. Cru Ts Gridded Precipitation and Other Meteorological Variables Since 1901. <a href="https://climatedataguide.ucar.edu/climate-data/cru-ts-gridded-precipitation-and-other-meteorological-variables-1901">https://climatedataguide.ucar.edu/climate-data/cru-ts-gridded-precipitation-and-other-meteorological-variables-1901</a>, Ramankutty, Navin.; Evan, Amato T.; Monfreda Chad; Foley, Jonathan A. 2008. Farming the Planet: 1. Geographic Distribution of Global Agricultural Lands in the Year 2000. Global Biogeochemical Cycles 22, GB1003. <a href="https://doi.org/10.1029/2007GB002952">https://doi.org/10.1029/2007GB002952</a>, Robinson Timothy P.; Wint, G.R.William; Conchedda Giulia; Van Boeckel Thomas P.; Ercoli, Valentina; Palamara, Elisa; Cinardi, Giuseppina; D’Aietti, Laura; Hay, Simon I.; and Gilbert, Marius. 2014. Mapping the Global Distribution of Livestock. PLoS ONE 9(5): e96084. <a href="https://doi.org/10.1371/journal.pone.0096084">https://doi.org/10.1371/journal.pone.0096084</a>, Shangguan, Wei; Hengl, Tomislav; de Jesus, Jorge Mendes; Yuan, Hua; and Dai, Yongjiu. 2016. Mapping the Global Depth to Bedrock for Land Surface Modeling. J. Adv. Model. Earth Syst., 9, 65-88. <a href="https://doi.org/10.1002/2016MS000686">https://doi.org/10.1002/2016MS000686</a>, Weiss, D. J.; Nelson, A.; Gibson, H.S. et al. 2018. A Global Map of Travel Time to Cities to Assess Inequalities in Accessibility in 2015. Nature 553, 333–336. <a href="https://doi.org/10.1038/nature25181">https://doi.org/10.1038/nature25181</a>, You, L.; Wood-Sichra, U.; Fritz, S.; Guo, Z.; See, L.; and Koo, J. 2017. Spatial Production Allocation Model (SPAM) 2005 v3.2. January 3, 2019. Available from <a href="http://mapspam.info">http://mapspam.info</a>, Zhao, Naizhuo; Currit, Nate; Samson, Eric. 2011. Net Primary Production and Gross Domestic Product in China Derived From Satellite Imagery. Ecological Economics 70 (5), 921–928. <a href="https://doi.org/10.1016/j.ecolecon.2010.12.023">https://doi.org/10.1016/j.ecolecon.2010.12.023</a>

In AGRIS since: 2025-07-17

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