Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017
Using 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 un...
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
2020
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| Acceso en línea: | https://hdl.handle.net/10568/144584 |
| _version_ | 1855524667574452224 |
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| author | International Food Policy Research Institute |
| author_browse | International Food Policy Research Institute |
| author_facet | International Food Policy Research Institute |
| author_sort | International Food Policy Research Institute |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Using 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. |
| format | Conjunto de datos |
| id | CGSpace144584 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1445842025-02-24T06:48:06Z Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017 International Food Policy Research Institute crop production statistics Using 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. 2020 2024-06-04T09:44:18Z 2024-06-04T09:44:18Z Dataset https://hdl.handle.net/10568/144584 en https://doi.org/10.3945/jn.114.203539 Open Access International Food Policy Research Institute International 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. |
| spellingShingle | crop production statistics International Food Policy Research Institute Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017 |
| title | Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017 |
| title_full | Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017 |
| title_fullStr | Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017 |
| title_full_unstemmed | Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017 |
| title_short | Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017 |
| title_sort | spatially disaggregated crop production statistics data in africa south of the sahara for 2017 |
| topic | crop production statistics |
| url | https://hdl.handle.net/10568/144584 |
| work_keys_str_mv | AT internationalfoodpolicyresearchinstitute spatiallydisaggregatedcropproductionstatisticsdatainafricasouthofthesaharafor2017 |