Spatial Production Allocation Model (SPAM)
Lablab, Egyptian Bean or Pulse? Reclassifying Crops for SPAM Conformity
Picture it. You're working at HarvestChoice processing incoming crop statistics and you come across some figures for harvested area of dolichos in Kenya.
SPAM to Feed Forthcoming Global Yield Gap Atlas
A group of researchers from the University of Nebraska and Wageningen University are setting out to determine just that through the production of an atlas.
Spatial Allocation of Agricultural Production
SPAM2000 (any version) is based on a large set of data which centers as much as possible on the year 2000: land cover / land use (Boston University’s MODIS-derived land cover 2000 and JRC’s GLC2000), crop suitability (Global AEZ Zones 2000 by FAO and IIASA), irrigated areas (FAO and CESR of University of Kassel), population density (CIESIN), and, most importantly, national and sub-national crops statistics for 2000.
Many of HarvestChoice spatial datasets are organized and released on 10-km grids. To make spatial analyses easier for researchers (even without having access to GIS platform), we put data layers from multiple themes together in one denormalized big table. This post describes the methodology and presents a prototype.