Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1

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dc.creatorInternational Food Policy Research Institute
dc.date2019
dc.date2024-06-04T09:44:26Z
dc.date2024-06-04T09:44:26Z
dc.date.accessioned2026-06-27T15:42:52Z
dc.descriptionUsing 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.
dc.identifierhttps://hdl.handle.net/10568/144746
dc.identifier.urihttp://hdl.handle.net/123456789/112551
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.relationhttps://doi.org/10.7910/dvn/dhxbjx/ruvtga
dc.rightsOpen Access
dc.sourceInternational Food Policy Research Institute. 2019. Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/PRFF8V. Harvard Dataverse. Version 1.
dc.subjectmodels
dc.subjectspatial distribution
dc.subjectspatial databases
dc.subjectcrop production
dc.subjectstatistics
dc.titleGlobal Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1
dc.typeDataset

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)