CELL5M: A Geospatial Data and Analytics Platform of Harmonized Multi-disciplinary Data Layers for Africa South of the Sahara
Spatially-explicit data is increasingly becoming available across disciplines, yet they are often limited to a specific domain. In order to use such datasets in a coherent analysis, such as to decide where to target specific types of agricultural investment, there should be an effort to make such da...
| Autores principales: | , |
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
2016
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/144791 |
| _version_ | 1855524552745943040 |
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| author | International Food Policy Research Institute University of Minnesota |
| author_browse | International Food Policy Research Institute University of Minnesota |
| author_facet | International Food Policy Research Institute University of Minnesota |
| author_sort | International Food Policy Research Institute |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Spatially-explicit data is increasingly becoming available across disciplines, yet they are often limited to a specific domain. In order to use such datasets in a coherent analysis, such as to decide where to target specific types of agricultural investment, there should be an effort to make such datasets harmonized and interoperable. For Africa South of the Sahara (SSA) region, the HarvestChoice CELL5M Database was developed in this spirit of moving multidisciplinary data into one harmonized, geospatial database. The database includes over 750 biophysical and socio-economic indicators, many of which can be easily expanded to global scale. The CELL5M database provides a platform for cross-cutting spatial analyses and fine-grain visualization of the mix of farming systems and populations across SSA. It was created as the central core to support a decision-making platform that would enable development practitioners and researchers to explore multi-faceted spatial relationships at the nexus of poverty, health and nutrition, farming systems, innovation, and environment. The database is a matrix populated by over 350,000 grid cells covering SSA at five arc-minute spatial resolution. Users of the database, including those conduct researches on agricultural policy, research, and development issues, can also easily overlay their own indicators. Numerical aggregation of the gridded data by specific geographical domains, either at subnational level or across country borders for more regional analysis, is also readily possible without needing to use any specific GIS software. See the HCID database ( http://dx.doi.org/10.7910/DVN/MZLXVQ ) for the geometry of each grid cell. The database also provides standard-compliant data API that currently powers several web-based data visualization and analytics tools. |
| format | Conjunto de datos |
| id | CGSpace144791 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1447912025-04-24T19:52:56Z CELL5M: A Geospatial Data and Analytics Platform of Harmonized Multi-disciplinary Data Layers for Africa South of the Sahara International Food Policy Research Institute University of Minnesota models spatial databases statistics Spatially-explicit data is increasingly becoming available across disciplines, yet they are often limited to a specific domain. In order to use such datasets in a coherent analysis, such as to decide where to target specific types of agricultural investment, there should be an effort to make such datasets harmonized and interoperable. For Africa South of the Sahara (SSA) region, the HarvestChoice CELL5M Database was developed in this spirit of moving multidisciplinary data into one harmonized, geospatial database. The database includes over 750 biophysical and socio-economic indicators, many of which can be easily expanded to global scale. The CELL5M database provides a platform for cross-cutting spatial analyses and fine-grain visualization of the mix of farming systems and populations across SSA. It was created as the central core to support a decision-making platform that would enable development practitioners and researchers to explore multi-faceted spatial relationships at the nexus of poverty, health and nutrition, farming systems, innovation, and environment. The database is a matrix populated by over 350,000 grid cells covering SSA at five arc-minute spatial resolution. Users of the database, including those conduct researches on agricultural policy, research, and development issues, can also easily overlay their own indicators. Numerical aggregation of the gridded data by specific geographical domains, either at subnational level or across country borders for more regional analysis, is also readily possible without needing to use any specific GIS software. See the HCID database ( http://dx.doi.org/10.7910/DVN/MZLXVQ ) for the geometry of each grid cell. The database also provides standard-compliant data API that currently powers several web-based data visualization and analytics tools. 2016 2024-06-04T09:44:29Z 2024-06-04T09:44:29Z Dataset https://hdl.handle.net/10568/144791 en Open Access International Food Policy Research Institute HarvestChoice, International Food Policy Research Institute; University of Minnesota. 2016. CELL5M: A geospatial data and analytics platform of harmonized multi-disciplinary data layers for Africa South of the Sahara. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/G4TBLF. Harvard Dataverse. Version 1. |
| spellingShingle | models spatial databases statistics International Food Policy Research Institute University of Minnesota CELL5M: A Geospatial Data and Analytics Platform of Harmonized Multi-disciplinary Data Layers for Africa South of the Sahara |
| title | CELL5M: A Geospatial Data and Analytics Platform of Harmonized Multi-disciplinary Data Layers for Africa South of the Sahara |
| title_full | CELL5M: A Geospatial Data and Analytics Platform of Harmonized Multi-disciplinary Data Layers for Africa South of the Sahara |
| title_fullStr | CELL5M: A Geospatial Data and Analytics Platform of Harmonized Multi-disciplinary Data Layers for Africa South of the Sahara |
| title_full_unstemmed | CELL5M: A Geospatial Data and Analytics Platform of Harmonized Multi-disciplinary Data Layers for Africa South of the Sahara |
| title_short | CELL5M: A Geospatial Data and Analytics Platform of Harmonized Multi-disciplinary Data Layers for Africa South of the Sahara |
| title_sort | cell5m a geospatial data and analytics platform of harmonized multi disciplinary data layers for africa south of the sahara |
| topic | models spatial databases statistics |
| url | https://hdl.handle.net/10568/144791 |
| work_keys_str_mv | AT internationalfoodpolicyresearchinstitute cell5mageospatialdataandanalyticsplatformofharmonizedmultidisciplinarydatalayersforafricasouthofthesahara AT universityofminnesota cell5mageospatialdataandanalyticsplatformofharmonizedmultidisciplinarydatalayersforafricasouthofthesahara |