A cultivated planet in 2010 - Part 2: The global gridded agricultural-production maps
Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns; thus they are less informative for subsequent spatially explicit agricultural and environmental analyses. In the second part of the two-paper se...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Copernicus Publications
2020
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| Acceso en línea: | https://hdl.handle.net/10568/142472 |
| _version_ | 1855514361050693632 |
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| author | Yu, Qiangyi You, Liangzhi Wood-Sichra, Ulrike Ru, Yating Joglekar, Alison K. B. |
| author_browse | Joglekar, Alison K. B. Ru, Yating Wood-Sichra, Ulrike You, Liangzhi Yu, Qiangyi |
| author_facet | Yu, Qiangyi You, Liangzhi Wood-Sichra, Ulrike Ru, Yating Joglekar, Alison K. B. |
| author_sort | Yu, Qiangyi |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns; thus they are less informative for subsequent spatially explicit agricultural and environmental analyses. In the second part of the two-paper series, we introduce SPAM2010 – the latest global spatially explicit datasets on agricultural production circa 2010 – and elaborate on the improvement of the SPAM (Spatial Production Allocation Model) dataset family since 2000. SPAM2010 adds further methodological and data enhancements to the available crop downscaling modeling, which mainly include the update of base year, the extension of crop list, and the expansion of subnational administrative-unit coverage. Specifically, it not only applies the latest global synergy cropland layer (see Lu et al., submitted to the current journal) and other relevant data but also expands the estimates of crop area, yield, and production from 20 to 42 major crops under four farming systems across a global 5 arcmin grid. All the SPAM maps are freely available at the MapSPAM website (http://mapspam.info/, last access: 11 December 2020), which not only acts as a tool for validating and improving the performance of the SPAM maps by collecting feedback from users but is also a platform providing archived global agricultural-production maps for better targeting the Sustainable Development Goals. In particular, SPAM2010 can be downloaded via an open-data repository (DOI: https://doi.org/10.7910/DVN/PRFF8V; IFPRI, 2019). |
| format | Journal Article |
| id | CGSpace142472 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Copernicus Publications |
| publisherStr | Copernicus Publications |
| record_format | dspace |
| spelling | CGSpace1424722025-02-24T06:49:07Z A cultivated planet in 2010 - Part 2: The global gridded agricultural-production maps Yu, Qiangyi You, Liangzhi Wood-Sichra, Ulrike Ru, Yating Joglekar, Alison K. B. spatial data models data maps agricultural production crops crop yield irrigation yields farming systems statistics Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns; thus they are less informative for subsequent spatially explicit agricultural and environmental analyses. In the second part of the two-paper series, we introduce SPAM2010 – the latest global spatially explicit datasets on agricultural production circa 2010 – and elaborate on the improvement of the SPAM (Spatial Production Allocation Model) dataset family since 2000. SPAM2010 adds further methodological and data enhancements to the available crop downscaling modeling, which mainly include the update of base year, the extension of crop list, and the expansion of subnational administrative-unit coverage. Specifically, it not only applies the latest global synergy cropland layer (see Lu et al., submitted to the current journal) and other relevant data but also expands the estimates of crop area, yield, and production from 20 to 42 major crops under four farming systems across a global 5 arcmin grid. All the SPAM maps are freely available at the MapSPAM website (http://mapspam.info/, last access: 11 December 2020), which not only acts as a tool for validating and improving the performance of the SPAM maps by collecting feedback from users but is also a platform providing archived global agricultural-production maps for better targeting the Sustainable Development Goals. In particular, SPAM2010 can be downloaded via an open-data repository (DOI: https://doi.org/10.7910/DVN/PRFF8V; IFPRI, 2019). 2020-12-01 2024-05-22T12:10:33Z 2024-05-22T12:10:33Z Journal Article https://hdl.handle.net/10568/142472 en https://doi.org/10.5194/essd-12-1913-2020 Open Access Copernicus Publications Yu, Qiangyi; You, Liangzhi; Wood-Sichra, Ulrike; Ru, Yating; Joglekar, Alison K. B.; et al. 2020. A cultivated planet in 2010 - Part 2: The global gridded agricultural-production maps. Earth System Science Data 12(4): 3545-3572. https://doi.org/10.5194/essd-12-3545-2020 |
| spellingShingle | spatial data models data maps agricultural production crops crop yield irrigation yields farming systems statistics Yu, Qiangyi You, Liangzhi Wood-Sichra, Ulrike Ru, Yating Joglekar, Alison K. B. A cultivated planet in 2010 - Part 2: The global gridded agricultural-production maps |
| title | A cultivated planet in 2010 - Part 2: The global gridded agricultural-production maps |
| title_full | A cultivated planet in 2010 - Part 2: The global gridded agricultural-production maps |
| title_fullStr | A cultivated planet in 2010 - Part 2: The global gridded agricultural-production maps |
| title_full_unstemmed | A cultivated planet in 2010 - Part 2: The global gridded agricultural-production maps |
| title_short | A cultivated planet in 2010 - Part 2: The global gridded agricultural-production maps |
| title_sort | cultivated planet in 2010 part 2 the global gridded agricultural production maps |
| topic | spatial data models data maps agricultural production crops crop yield irrigation yields farming systems statistics |
| url | https://hdl.handle.net/10568/142472 |
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