Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0https://doi.org/10.7910/DVN/PRFF8VInternational Food Policy Research Institute (IFPRI)Harvard Dataverse2019-01-042025-02-04T15:45:24ZUsing 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.Agricultural SciencesComputer and Information ScienceEarth and Environmental Sciencesstatisticsplant productionspatial distributionspatial databaseYu, Q., You, L., Wood-Sichra, U., Ru, Y., Joglekar, A. K. B., Fritz, S., Xiong, W., Lu, M., Wu, W., and Yang, P.: A cultivated planet in 2010: 2. the global gridded agricultural production maps, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-11, in review, 2020., doi, 10.5194/essd-2020-11, https://essd.copernicus.org/preprints/essd-2020-11/2019-10-09Koo, JawooYou, 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 ThemeKoo, Jawoo (International Food Policy Research Institute (IFPRI))CGIAR Platform for Big Data in AgricultureCGIAR Research Program on Policies, Institutions, and MarketsUSAID 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)2019-10-092009-01-012011-12-31<a href="https://doi.org/10.7910/DVN/SWPENT">Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0.0</a></p><a href="https://doi.org/10.7910/DVN/FSSKBW">Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017</a></p> <a href="https://doi.org/10.7910/DVN/DHXBJX">Global Spatially-Disaggregated Crop Production Statistics Data for 2005 Version 3.2</a></p> <a href="https://doi.org/10.7910/DVN/A50I2T">Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7</a>spatial dataSubnational agricultural production statistics data<h1> IFPRI DATAVERSE TERMS OF USE </h1> By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.