The raster dataset represents top location score areas, suitable for irrigated rice storage and processing, filtered by exclusive criteria: access to finance, distance to major roads, and access to electricity.
Access to finance and roads is defined using a linear distance threshold:
• Banks - approx. 20km (0.18 degree) buffer radius.
• Major roads - approx. 2km (0.018 degrees) buffer radius.
• Access to electricity is characterized by applying the Atlas AI Electrification map.
The location score is achieved by processing sub-model outputs that characterize logistical factors for warehouse and processing sites: Supply, demand, Infrastructure/accessibility. The location score from 0 to 100 is obtained through a simple arithmetic weighted sum of normalized/scaled grids. The top location score is selected/clipped using the exclusive criteria.
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.
- Atlas AI - Asset Wealth Index 2020 https://docs.atlasai.co/economic%20well-being/asset_wealth/,
and Electrification 2021 https://docs.atlasai.co/infrastructure/electrification/.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)
Online resources:
Download: Large-Scale Rice Production Final Location Score (Cameroon - ~ 500m)
