Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0

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dc.creatorInternational Food Policy Research Institute
dc.date2024-04-12
dc.date2024-12-19T14:54:12Z
dc.date2024-12-19T14:54:12Z
dc.date.accessioned2026-06-27T15:41:28Z
dc.descriptionThe 2020 SPAM (Spatial Production Allocation Model) products, encompassing crop area, yield, and production at a 5-minute grid resolution, have been developed by Zhe Guo, Shuang Zhou, and Liangzhi You. Employing a diverse range of inputs, IFPRI's Spatial Production Allocation Model (SPAM) utilizes a cross-entropy method to generate plausible estimations of crop distribution within disaggregated units. By transitioning data from broader units like countries and sub-national provinces to more granular units such as grid cells, SPAM unveils spatial patterns of crop performance, forming a global grid-scape where geography intersects with agricultural production systems. Enhancing spatial comprehension of crop production systems empowers policymakers and donors to effectively target agricultural and rural development policies and investments, thereby enhancing food security and fostering growth while minimizing environmental impacts.
dc.identifierhttps://hdl.handle.net/10568/168061
dc.identifier.urihttp://hdl.handle.net/123456789/111844
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.rightsOpen Access
dc.sourceInternational Food Policy Research Institute (IFPRI). 2024. Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0.0. https://doi.org/10.7910/DVN/SWPENT. Harvard Dataverse. Version 3.
dc.subjectspatial analysis
dc.subjectcrop production
dc.subjectagricultural development
dc.subjectgeographical information systems
dc.subjectdata processing
dc.subjectspatial distribution
dc.subjectspatial databases
dc.titleGlobal Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0
dc.typeDataset

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)