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Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017
 
Identifier https://doi.org/10.7910/DVN/FSSKBW
 
Creator International Food Policy Research Institute
 
Publisher Harvard Dataverse
 
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.
 
Subject Agricultural Sciences
Computer and Information Science
Earth and Environmental Sciences
statistics
plant production
 
Language English
 
Date 2020-06-15
 
Contributor Koo, Jawoo
Koo, Jawoo
You, Liangzhi
Wood-Sichra, Ulrike
Wood-Sichra, Ulrike
Wood-Sichra, Ulrike
 
Relation International Food Policy Research Institute, 2019, "Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1", https://doi.org/10.7910/DVN/PRFF8V, Harvard Dataverse, V3
 
Type Spatially-disaggregated crop production statistics
 
Source Subnational agricultural production statistics data