The raster dataset consists of a 500 m score grid for slaughterhouse industry facilities, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.
The analysis is based on livestock production potential using proximity to cities, crop production, and aggregated density of cattle, goats, sheep and pig. Aggregated density layer produced using weighting by the average live weight: Goat 30kg (X0.09); Sheep 30kg (X0.09); Cattle 210kg (X0.63), Pig 63kg (X0.19).
The score is achieved by processing sub-model outputs that characterize logistical factors:
1. Supply - Feed and livestock distribution.
2. Infrastructure - Transportation network (accessibility)
3. Atlas AI Asset Wealth Index.
It consists of an arithmetic weighted sum of normalized grids (0 to 100):
(”Livestock Density” * 0.4) + ("Asset Wealth" * 0.3) + (“Major Cities Accessibility” * 0.2) + ("Crop Production" * 0.1).
Data publication: 2022-05-11
Contact points:
Metadata Contact: FAO-Data
Metadata Contact: Dariia Nesterenko
Data lineage:
Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets:
- GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2).
https://data.apps.fao.org/catalog/iso/47457ad7-ed00-4346-81e2-85aacd0e6d91
- Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units.
https://data.apps.fao.org/map/catalog/srv/eng/catalog.search;jsessionid=4AA4D377D0F90E3328ACBDB5C21BFFC6?node=srv#/metadata/0c6be5d1-3a73-4516-953b-dbe2b511d6b3
- OpenStreetMap.
- Altas 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:
Zipped raster TIF file for Slaughterhouse Location Score (Gabon - ~ 500 m)
