10.7910/DVN/PRFF8V International Food Policy Research Institute (IFPRI) Harvard Dataverse 2019 Earth and Environmental Sciences Computer and Information Science Agricultural Sciences statistics plant production spatial distribution spatial database Food security Agricultural production Geographical information systems International Food Policy Research Institute International Food Policy Research Institute Guo, Zhe Zhe Guo International Food Policy Research Institute (IFPRI) You, Liangzhi Liangzhi You International Food Policy Research Institute (IFPRI) Koo, Jawoo Jawoo Koo International Food Policy Research Institute (IFPRI) You, Liangzhi (International Food Policy Research Institute (IFPRI)) You, Liangzhi (International Food Policy Research Institute (IFPRI)) Guo, Zhe (International Food Policy Research Institute (IFPRI)) Wood-Sichra, Ulrike (International Food Policy Research Institute (IFPRI)) Wood-Sichra, Ulrike (International Food Policy Research Institute (IFPRI)) Ru, Yating (International Food Policy Research Institute (IFPRI)) Jeon, Seong-Min (International Food Policy Research Institute (IFPRI)) Spatial Data and Analytics Theme Koo, Jawoo (International Food Policy Research Institute (IFPRI)) CGIAR Platform for Big Data in Agriculture CGIAR Research Program on Policies, Institutions, and Markets 2019 2019-10-09 2019-10-09 2019-01-04 2025-02-04 2009-01-01/2011-12-31 spatial data 10.5194/ESSD-2020-11 10.7910/DVN/PRFF8V/BWFQJO 10.7910/DVN/PRFF8V/XYAHEU 10.7910/DVN/PRFF8V/DLELPW 10.7910/DVN/PRFF8V/33PNTG 10.7910/DVN/PRFF8V/F57VIN 10.7910/DVN/PRFF8V/POF3I7 10.7910/DVN/PRFF8V/HUCRCD 10.7910/DVN/PRFF8V/CIJ25U 10.7910/DVN/PRFF8V/UTTV57 10.7910/DVN/PRFF8V/NTMZGU 10.7910/DVN/PRFF8V/BCTNIG 10.7910/DVN/PRFF8V/SB1RX0 10.7910/DVN/PRFF8V/KYZD6E 10.7910/DVN/PRFF8V/TZ5OPZ 10.7910/DVN/PRFF8V/EQOGDM 10.7910/DVN/PRFF8V/Y1OQRN 238985317 237637076 139665281 198591565 219561572 206799247 209636365 194169715 209839867 194378232 4612 166884179 175344951 208184472 163387377 163217132 144763475 144551773 156411047 148524136 184761969 143951469 143771890 154733925 112648338 170135088 166627381 166393608 179149650 165849654 205059045 5497 4140 6639 149149715 144284552 184388916 156093566 144504301 166340620 166106028 204667942 178793689 166554280 143651190 154362107 143470662 113096005 169794960 application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip text/plain application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip text/plain text/plain text/plain application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip 4.2 Custom terms specific to this dataset Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating a global grid-scape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production systems allows policymakers and donors to better target agricultural and rural development policies and investments, increasing food security and growth with minimal environmental impacts. Geospatial Data For more information and data download options, please visit the MapSPAM website at https://mapspam.info. Funding support for MapSPAM was provided by CGIAR Platform for Big Data in Agriculture, CGIAR Research Program on Policies, Institutions, and Markets (PIM), The Bill and Melinda Gates Foundation, NASA Harvest (https://nasaharvest.org), USAID Feed the Future Innovation Lab for Small Scale Irrigation (https://ilssi.tamu.edu), USAID Feed the Future Innovation Lab for Sustainable Intensification (https://www.k-state.edu/siil), and Macro Agriculture Research Institute (http://mari.hzau.edu.cn). Washington, DC, USA USAID Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification (AID-OAA-L-14-00006) USAID Feed the Future Innovation Lab for Small Scale Irrigation (AID-OAA-A-13-0005) Bill and Melinda Gates Foundation (BMGF) OPPGD1450 NASA Harvest United States Agency for International Development (USAID)