Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017

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dc.creatorInternational Food Policy Research Institute
dc.date2020
dc.date2024-06-04T09:44:18Z
dc.date2024-06-04T09:44:18Z
dc.date.accessioned2026-06-27T15:15:09Z
dc.descriptionUsing a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM, also known as MapSPAM) 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 Africa South of the Sahara-wide 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/10568/144584
dc.identifier.urihttp://hdl.handle.net/123456789/98913
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.relationhttps://doi.org/10.3945/jn.114.203539
dc.rightsOpen Access
dc.sourceInternational Food Policy Research Institute. 2020. Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/FSSKBW. Harvard Dataverse. Version 1.
dc.subjectcrop production
dc.subjectstatistics
dc.titleSpatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017
dc.typeDataset

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)