Dairy Processing Location Score: Goat (Guinea Bissau - ~ 500 m)

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 cattle production potential using proximity to cities and cattle density.

The score is achieved by processing sub-model outputs that characterize production, logistical, and socio-economic 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):

(”Cattle Density” * 0.4) + (“Major Cities Accessibility” * 0.4) + (”Asset Wealth” *0.2 )

Data publication: 2023-04-19

Contact points:

Resource Contact: FAO-Data

Maintainer: Justeen De Ocampo

Data lineage:

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. OpenStreetMap.
  3. 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:

Download: Dairy Processing Location Score: Goat (Guinea Bissau - ~ 500 m)

Data and Resources

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Metadata:

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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 cattle production potential using proximity to cities and cattle density. The score is achieved by processing sub-model outputs that characterize production, logistical, and socio-economic 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): (”Cattle Density” * 0.4) + (“Major Cities Accessibility” * 0.4) + (”Asset Wealth” *0.2 )
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    2023-04-19
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title
Dairy Processing Location Score: Goat (Guinea Bissau - ~ 500 m)
descriptiveKeywords
  • keywords
    • Accessibility
    • Logistics
    • Infrastructure
    • Warehouse
    • Livestock
    • GIS
    • MCDA
    • Hand-in-Hand
    • Milk Powder
    • UHT
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    • Guinea Bissau
    • Africa
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eng
purpose
Crop storage/warehouse location analysis.
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    500
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    m
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  • transportation
  • economy
  • farming
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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. OpenStreetMap. 3. Altas AI - Asset Wealth Index 2020. https://docs.atlasai.co/economic%20well-being/asset_wealth/.
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eng
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cloned
True
cloned_on
2023-04-19T08:36:53.658528
source_url
https://data.apps.fao.org/catalog/dataset/82a2d933-b3f2-4f71-90cc-10efa16fde01
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iso

Additional Info

Field Value
Source Source URL
Last Updated August 1, 2023, 10:47 (UTC)
Created April 19, 2023, 08:36 (UTC)