Dairy Processing Location Score: Cattle (Mozambique - ~ 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 intensification.

The score is achieved by processing sub-model outputs that characterize location factors:

  1. Supply - Livestock distribution.

  2. Demand/Infrastructure - Transportation network (accessibility)

It consists of an arithmetic weighted sum of normalized grids (0 to 100):

(”Cattle 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:

  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. Global Livestock Production Systems v.5 2011.
  3. OpenStreetMap.
  4. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units.
  5. 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: Cattle (Mozambique - ~ 500 m)

Data and Resources

Printable Map

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 intensification. The score is achieved by processing sub-model outputs that characterize location factors: 1. Supply - Livestock distribution. 2. Demand/Infrastructure - Transportation network (accessibility) It consists of an arithmetic weighted sum of normalized grids (0 to 100): (”Cattle Intensification” * 0.4) + (“Major Cities Accessibility” * 0.2) + (”Total Crop Production” *0.3)+ (“Population Density” * 0.1)
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  • date
    2022-11-17
    dateType
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title
Dairy Processing Location Score: Cattle (Mozambique - ~ 500 m)
descriptiveKeywords
  • keywords
    • Accessibility
    • Logistics
    • Infrastructure
    • Dairy
    • Livestock
    • GIS
    • MCDA
    • Hand-in-Hand
    type
    theme
  • type
    place
  • keywords
    • Africa
    • Mozambique
    type
    place
language
eng
purpose
Dairy processing unit location analysis.
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  • distance
    500
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    m
status
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topicCategory
  • 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. Global Livestock Production Systems v.5 2011. 3. OpenStreetMap. 4. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 5. 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
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language
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Options:

cloned
True
cloned_on
2022-11-17T09:25:45.731006
source_url
https://data.apps.fao.org/catalog/dataset/13e8a16d-f603-4f20-81c1-fdcb31552ae2
validation
True

Type:

iso

Additional Info

Field Value
Source Source URL
Last Updated October 31, 2023, 23:03 (UTC)
Created November 17, 2022, 09:25 (UTC)