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ZIP Archive - 49.6 MB -
MD5: b4380a264bcf5c363d908a5b3ef4a641
SPAM harvested area, global pixels, files for 3 technologies |
ZIP Archive - 49.4 MB -
MD5: b20f33bce9fcdeb2dbfb153447f7a251
SPAM physical area, global pixels, files for 3 technologies |
ZIP Archive - 55.2 MB -
MD5: 83c547e5970358d59ca0e2d80ff7b8bd
SPAM production, global pixels, files for 3 technologies |
ZIP Archive - 68.7 MB -
MD5: 9cbd3d26ee7c9c4f552ea3275e034abf
SPAM yield, global pixels, files for 3 technologies |
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ZIP Archive - 46.4 MB -
MD5: 6a00ec59fa72992f97a6ec01f9a1cd20
SPAM harvested area, global pixels, files for 3 technologies |
ZIP Archive - 46.2 MB -
MD5: 39e2699346189fafb2dd9ea4d6e80b71
SPAM physical area, global pixels, files for 3 technologies |
ZIP Archive - 52.0 MB -
MD5: b8154239118e353b4e2cb493d37d4ed4
SPAM production, global pixels, files for 3 technologies |
ZIP Archive - 72.1 MB -
MD5: ee0b10b9d561b09f7100463125bf4c4b
SPAM yield, global pixels, files for 3 technologies |
Dec 22, 2020
International Food Policy Research Institute (IFPRI), 2020, "Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017", https://doi.org/10.7910/DVN/FSSKBW, Harvard Dataverse, V3
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 o... |