Crop Storage Location Score: Maize (Cameroon - ~ 500m)

The raster dataset consists of a 500m score grid for fruits storage location achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse location:

• Supply: Maize.

• 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: 2023-05-21

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:

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:

Download: Crop Storage Location Score: Maize (Cameroon - ~ 500m)