Slaughterhouse Location Score: Goat (Djibouti - ~ 500 m)

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 - Multi-criteria Decision Analysis for value chain infrastructure location.

The analysis is based on livestock production potential using proximity to cities, crop production, and animal aggregated density.

The score is achieved by processing sub-model outputs that characterize production, logistical, and socioeconomic factors:

1. Supply - Feed and goat 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): (”Goat Density” * 0.4) + ("Asset Wealth" * 0.3) + (“Major Cities Accessibility” * 0.2) + ("Crop Production" * 0.1)

Data publication: 2024-03-18

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. 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
2. 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
3. OpenStreetMap.
4. 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: Goat (Djibouti - ~ 500 m)