Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0
The 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...
| Autor principal: | |
|---|---|
| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/168061 |
| _version_ | 1855540388479107072 |
|---|---|
| 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 | The 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. |
| format | Conjunto de datos |
| id | CGSpace168061 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1680612025-12-08T10:11:39Z Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0 International Food Policy Research Institute spatial analysis crop production agricultural development geographical information systems data processing spatial distribution spatial databases The 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. 2024-04-12 2024-12-19T14:54:12Z 2024-12-19T14:54:12Z Dataset https://hdl.handle.net/10568/168061 en Open Access International Food Policy Research Institute International 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. |
| spellingShingle | spatial analysis crop production agricultural development geographical information systems data processing spatial distribution spatial databases International Food Policy Research Institute Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0 |
| title | Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0 |
| title_full | Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0 |
| title_fullStr | Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0 |
| title_full_unstemmed | Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0 |
| title_short | Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0 |
| title_sort | global spatially disaggregated crop production statistics data for 2020 version 1 0 |
| topic | spatial analysis crop production agricultural development geographical information systems data processing spatial distribution spatial databases |
| url | https://hdl.handle.net/10568/168061 |
| work_keys_str_mv | AT internationalfoodpolicyresearchinstitute globalspatiallydisaggregatedcropproductionstatisticsdatafor2020version10 |