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 dairy production intensification potential, defined using crop production, livestock production systems, and goat distribution.
The score is achieved by processing sub-model outputs that characterize logistical factors:
1. Supply - Feed, livestock production systems, livestock distribution.
2. Demand - Human population density, large cities, urban areas.
3. Infrastructure - Transportation network (accessibility)
It consists of an arithmetic weighted sum of normalized grids (0 to 100):
(”Dairy Intensification” * 0.4) + ("Crop Production" * 0.3) + (“Major Cities Accessibility” * 0.2) + (“Population Density” * 0.1)
Data publication: 2021-10-15
Contact points:
Metadata Contact: FAO-Data
Resource Contact: Justeen De Ocampo
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. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2)
4. Global Livestock Production Systems v.5 2011.
5. OpenStreetMap.
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 (UHT/powder) location score (Bangladesh - ~ 500m)
