The raster dataset consists of a 1km 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 dairy production intensification potential defined using crop production, livestock production systems, and goat and sheep distribution.
The score is achieved by processing sub-model outputs that characterize logistical factors:
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Supply - Feed, livestock production systems, goat and sheep distribution.
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Demand - Human population density, large cities, urban areas.
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Infrastructure - Transportation network (accessibility)
It consists of an arithmetic weighted sum of normalized grids (0 to 100):
("Total Crop Production" * 0.3) + ("Human Population Density" * 0.1) + (“Major Cities Accessibility” * 0.2) + (”Dairy Intensification” * 0.4).
Data publication: 2023-02-08
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.
https://data.apps.fao.org/catalog/iso/304c21fb-0f5a-44ad-9948-2af6a7144fb5
- Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution
within disaggregated units.
- GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2)
- Global Livestock Production Systems v.5 2011.
- OpenStreetMap.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)
Online resources:
Download: Dairy Processing Location Score: Goat and Sheep (Yemen - ~ 1km)
