Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0doi:10.7910/DVN/PRFF8VHarvard Dataverse2019-01-044International Food Policy Research Institute (IFPRI), 2019, "Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0", https://doi.org/10.7910/DVN/PRFF8V, Harvard Dataverse, V4Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0Spatial Production Allocation Model (SPAM) 2010MapSPAM 2010doi:10.7910/DVN/PRFF8VInternational 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 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)International Food Policy Research Institute2019-10-09Washington, DC, USAOPPGD1450OPPGD1450OPPGD1450Harvard DataverseInternational Food Policy Research InstituteGuo, ZheYou, LiangzhiKoo, JawooKoo, Jawoo2019-10-092019Geospatial DataAgricultural SciencesComputer and Information ScienceEarth and Environmental Sciencesstatisticsplant productionspatial distributionspatial databaseFood securityAgricultural productionGeographical information systemsUsing 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.2009-01-012011-12-315 arc-minute grid cellspatial dataFor 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).Subnational 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>.<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>Yu, 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, 2020.10.5194/essd-2020-11Yu, 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.ReadMe_v2r0_Global.txttext/plainspam2010v2r0_global_harv_area.csv.zipapplication/zipspam2010v2r0_global_harv_area.dbf.zipapplication/zipspam2010v2r0_global_harv_area.geotiff.zipapplication/zipspam2010v2r0_global_phys_area.csv.zipapplication/zipspam2010v2r0_global_phys_area.dbf.zipapplication/zipspam2010v2r0_global_phys_area.geotiff.zipapplication/zipspam2010v2r0_global_prod.csv.zipapplication/zipspam2010v2r0_global_prod.dbf.zipapplication/zipspam2010v2r0_global_prod.geotiff.zipapplication/zipspam2010v2r0_global_val_prod_agg.csv.zipapplication/zipspam2010v2r0_global_val_prod_agg.dbf.zipapplication/zipspam2010v2r0_global_val_prod_agg.geotiff.zipapplication/zipspam2010v2r0_global_yield.csv.zipapplication/zipspam2010v2r0_global_yield.dbf.zipapplication/zipspam2010v2r0_global_yield.geotiff.zipapplication/zip