The raster dataset consists of a 500m score grid for the cassava storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.
The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations:
• Supply: Crop.
• Demand: Human population density, Major cities population (national and bordering countries).
• Infrastructure/accessibility: main transportation infrastructure.
It consists of an arithmetic weighted sum of normalized grids (0 to 100):
("Crop Production" * 0.4) + ("Human Population Density" * 0.2) + (“Major Cities Accessibility” * 0.1) + (”Regional Cities Accessibility” 0.1 ) + (”Port Accessibility” 0.1 ) + (”Asset Wealth” *0.1 )
Data publication: 2021-10-15
Contact points:
Metadata Contact: FAO-Data
Resource Contact: Justeen De Ocampo
Data lineage:
Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets:
1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km.
2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units.
3. OpenStreetMap.
4. Altas AI - Asset Wealth Index 2020.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)
Online resources:
Zipped TIF raster file for cassava location score (Uganda - ~ 500 m)
