The raster dataset consists of a 500 m score grid for dairy processing industry facilities siting, 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 goat and sheep production potential using proximity to cities and goat and sheep intensification.
The score is achieved by processing sub-model outputs that characterize location factors:
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Supply - Livestock distribution.
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Demand/Infrastructure - Transportation network (accessibility)
It consists of an arithmetic weighted sum of normalized grids (0 to 100):
(Goat and Sheep Intensification” * 0.4) + (“Major Cities Accessibility” * 0.2) + (”Total Crop Production” *0.3)+ (“Population Density” * 0.1)
Data publication: 2022-11-17
Contact points:
Metadata Contact: FAO-Data
Resource Contact: Dariia Nesterenko
Data lineage:
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
- Global Livestock Production Systems v.5 2011
- OpenStreetMap.
- Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution
within disaggregated units.
- Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. https://data.apps.fao.org/catalog/iso/304c21fb-0f5a-44ad-9948-2af6a7144fb5
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)
Online resources:
Zipped raster TIF file for Dairy Processing Location Score: Sheep and Goat (Mozambique - ~ 500 m)
