The raster dataset consists of a 500m score grid for irrigated rice storage and processing location, achieved by processing sub-model outputs that characterize logistical factors:
• Supply: Irrigated rice production.
• Demand: Large cities/markets.
• Infrastructure/accessibility: Main transportation infrastructure.
It consists of an arithmetic weighted sum of normalized grids (0 to 100):
("Crop Production" * 0.5) + ("Major Cities Accessibility" * 0.3) + (“Asset Wealth” * 0.2)
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: 2023-05-20
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:
- Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units.
- OpenStreetMap.
- Atlas AI - Asset Wealth Index 2020 https://docs.atlasai.co/economic%20well-being/asset_wealth/.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)
Online resources:
Download: Large-Scale Rice Production Location Score (Cameroon - ~ 500m)
