Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
The raster dataset consists of a 500 m score grid for the crop storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.
The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations:
• Supply: Cassava.
• Demand: Human population density, Major cities population (national and bordering countries).
• Infrastructure/accessibility: main transportation infrastructure.
It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.4) + (“Major Cities Accessibility” * 0.1) + (”Poverty” * 0.1) + ("Human Population Density" * 0.2) + (“Regional Cities Accessibility” * 0.1) +(“Port Accessibility” * 0.1).
Data publication: 2022-12-20
Contact points:
Resource 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:
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)
Online resources:
Zipped TIF raster file for Crop Storage Location Score: Cassava (Togo - ~ 500 m)
The raster dataset consists of a 500 m score grid for fruits storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations: • Supply: Cassava. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.3) + (“Major Cities Accessibility” * 0.2) + (”Poverty” * 0.1) + ("Human Population Density" * 0.1) + (“Regional Cities Accessibility” * 0.1) +(“Port Accessibility” * 0.2)
The raster dataset consists of a 500m score grid for the cassava storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations: • Supply: Crop. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.4) + ("Human Population Density" * 0.2) + (“Major Cities Accessibility” * 0.1) + (”Regional Cities Accessibility” *0.2 ) + (”Asset Wealth” *0.1 )
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Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
The raster dataset consists of a 500 m score grid for the crop storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.
The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations:
• Supply: Cassava.
• Demand: Human population density, Major cities population (national and bordering countries).
• Infrastructure/accessibility: main transportation infrastructure.
It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.4) + (“Major Cities Accessibility” * 0.1) + (”Poverty” * 0.1) + ("Human Population Density" * 0.2) + (“Regional Cities Accessibility” * 0.1) +(“Port Accessibility” * 0.1).
Data publication: 2022-12-20
Contact points:
Resource 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:
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)
Online resources:
Zipped TIF raster file for Crop Storage Location Score: Cassava (Togo - ~ 500 m)