The raster dataset consists of a 500m score grid for rice storage location achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse location:
• Supply: Rice.
• 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) + (“Asset Wealth” * 0.1) + (”Regional Cities Accessibility” * 0.1)+("Major Ports Accessibility" * 0.1).
This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location).
Data publication: 2023-05-22
Contact points:
Metadata Contact: FAO-Data
Resource Contact: Dariia Nesterenko
Data lineage:
Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets:
- Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km.
- Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units.
- OpenStreetMap.
- 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:
Download: Crop Storage Location Score: Rice (Cameroon - ~ 500m)
