Spatial production allocation model (SPAM) 2005: Technical documentation
By 2050, world population is estimated to reach 9.7 billion people (United Nations 2015). The increased food, fiber and fuel demand from this population will significantly affect land and resource use, climate change, the nature and prevalence of poverty, political agendas and technological developm...
| Main Authors: | , , |
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| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
International Food Policy Research Institute
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/148285 |
| _version_ | 1855523681054228480 |
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| author | Wood-Sichra, Ulrike Joglekar, Alison B. You, Liangzhi |
| author_browse | Joglekar, Alison B. Wood-Sichra, Ulrike You, Liangzhi |
| author_facet | Wood-Sichra, Ulrike Joglekar, Alison B. You, Liangzhi |
| author_sort | Wood-Sichra, Ulrike |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | By 2050, world population is estimated to reach 9.7 billion people (United Nations 2015). The increased food, fiber and fuel demand from this population will significantly affect land and resource use, climate change, the nature and prevalence of poverty, political agendas and technological development. Preemptively addressing the effects of this increased demand is aided by a clear and reliable understanding of the current spatial distribution of cropping systems in the world. The Spatial Production Allocation Model (SPAM) 2005 endeavors to disaggregate crop statistics identified at national and sub-national units for the year 2005 to 5 arc-minute grid cells while taking account of different farming practices. SPAM generates four major output variables: physical area, harvested area, production quantity and yield for each of 42 crops distinguished by four production systems (i.e., irrigated – high input, rainfed – high input, rainfed – low-input and rainfed – subsistence production). The allocation model uses a cross-entropy optimization approach informed by major inputs such as cropland surface, location of irrigated areas, crop suitability and potential yields, rural population densities, production systems characteristics and crop prices to disaggregate crop statistics. Our primary intent is to document the data sources used to compile the SPAM2005 estimates, to outline the major features of the model itself, as well as the adjustments and modifications undertaken to generate these plausible spatial estimates of crop area, production and yield. |
| format | Artículo preliminar |
| id | CGSpace148285 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1482852025-12-08T10:11:39Z Spatial production allocation model (SPAM) 2005: Technical documentation Wood-Sichra, Ulrike Joglekar, Alison B. You, Liangzhi spatial data models production data crop yield crop production agriculture spatial analysis By 2050, world population is estimated to reach 9.7 billion people (United Nations 2015). The increased food, fiber and fuel demand from this population will significantly affect land and resource use, climate change, the nature and prevalence of poverty, political agendas and technological development. Preemptively addressing the effects of this increased demand is aided by a clear and reliable understanding of the current spatial distribution of cropping systems in the world. The Spatial Production Allocation Model (SPAM) 2005 endeavors to disaggregate crop statistics identified at national and sub-national units for the year 2005 to 5 arc-minute grid cells while taking account of different farming practices. SPAM generates four major output variables: physical area, harvested area, production quantity and yield for each of 42 crops distinguished by four production systems (i.e., irrigated – high input, rainfed – high input, rainfed – low-input and rainfed – subsistence production). The allocation model uses a cross-entropy optimization approach informed by major inputs such as cropland surface, location of irrigated areas, crop suitability and potential yields, rural population densities, production systems characteristics and crop prices to disaggregate crop statistics. Our primary intent is to document the data sources used to compile the SPAM2005 estimates, to outline the major features of the model itself, as well as the adjustments and modifications undertaken to generate these plausible spatial estimates of crop area, production and yield. 2019-11-25 2024-06-21T09:24:15Z 2024-06-21T09:24:15Z Working Paper https://hdl.handle.net/10568/148285 en Open Access application/pdf International Food Policy Research Institute Wood-Sichra, Ulrike; Joglekar, Alison B.; and You, Liangzhi. 2016. Spatial production allocation model (SPAM) 2005: Technical documentation. HarvestChoice Working Paper. Washington, DC: HarvestChoice, International Food Policy Research Institute (IFPRI). |
| spellingShingle | spatial data models production data crop yield crop production agriculture spatial analysis Wood-Sichra, Ulrike Joglekar, Alison B. You, Liangzhi Spatial production allocation model (SPAM) 2005: Technical documentation |
| title | Spatial production allocation model (SPAM) 2005: Technical documentation |
| title_full | Spatial production allocation model (SPAM) 2005: Technical documentation |
| title_fullStr | Spatial production allocation model (SPAM) 2005: Technical documentation |
| title_full_unstemmed | Spatial production allocation model (SPAM) 2005: Technical documentation |
| title_short | Spatial production allocation model (SPAM) 2005: Technical documentation |
| title_sort | spatial production allocation model spam 2005 technical documentation |
| topic | spatial data models production data crop yield crop production agriculture spatial analysis |
| url | https://hdl.handle.net/10568/148285 |
| work_keys_str_mv | AT woodsichraulrike spatialproductionallocationmodelspam2005technicaldocumentation AT joglekaralisonb spatialproductionallocationmodelspam2005technicaldocumentation AT youliangzhi spatialproductionallocationmodelspam2005technicaldocumentation |