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HiH Agricultural Typologies – Potential - Somalia
The main purpose of Agricultural Typology is to contribute to sustainable agricultural growth and food security in vulnerable regions by supporting the scaling of proven innovations in the... -
HiH Agricultural Typologies - Poverty - Somalia
The main purpose of Agricultural Typology is to contribute to sustainable agricultural growth and food security in vulnerable regions by supporting the scaling of proven innovations in the... -
HiH Agricultural Typologies - Efficiency - Somalia
The main purpose of Agricultural Typology is to contribute to sustainable agricultural growth and food security in vulnerable regions by supporting the scaling of proven innovations in the... -
HiH Agricultural Typologies – Somalia
The Somalia Agricultural Typology is part of the Hand-in-Hand initiative (HiH) and aims to identify micro-regional level innovation opportunities, bottlenecks and investment gaps. This concept is... -
Agricultural Typologies – Angola
The HiH Agricultural Typology analysis targets the identification of micro-regional level innovation opportunities, bottlenecks, and investment gaps. This concept is based on the production... -
Crop Storage Location Score: Maize (Mozambique - ~ 500 m)
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... -
HiH Agricultural Typologies (Cameroon)
The Cameroon Agricultural Typology is part of the Hand-in-Hand initiative (HiH) and aims to identify micro-regional level innovation opportunities, bottlenecks and investment gaps. This concept is... -
HiH Agricultural Typologies – Agricultural Potential (Cameroon)
The main purpose of Agricultural Typology is to contribute to sustainable agricultural growth and food security in vulnerable regions by supporting the scaling of proven innovations in the... -
HiH Agricultural Typologies - Agricultural Efficiency (Cameroon)
The main purpose of Agricultural Typology is to contribute to sustainable agricultural growth and food security in vulnerable regions by supporting the scaling of proven innovations in the... -
HiH Agricultural Typologies - Poverty (Cameroon)
The main purpose of Agricultural Typology is to contribute to sustainable agricultural growth and food security in vulnerable regions by supporting the scaling of proven innovations in the... -
Cameroon Agricultural Typologies
Under the scope of the Hand-in-Hand initiative (HiH), the Agricultural Typology aims to identify micro-regional level innovation opportunities, bottlenecks and investment gaps based on the concept... -
Cameroon MCDA
Multi-Criteria Decision Analysis, or MCDA, is an useful methodology that can apply to many complex decisions. Geographic Information Systems multi-criteria decision analysis GIS-MCDA consists of a... -
Dairy Processing Location Score: Cattle (Djibouti - ~ 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 -... -
Slaughterhouse Final Location: Goat (Djibouti - ~ 500 m)
The 500 m raster dataset represents selected top location score areas filtered by exclusive criteria: access to finance, distance to major roads, access to IT, and distance to urban areas. The... -
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 -... -
GAUL Code list (Global - Admin 1)
The Global Administrative Unit Layers (GAUL) is a spatial database of the administrative units for all the countries in the world. This dataset contains the codelist for the GAUL boundaries at... -
Crop Storage Final Location: Beans (Djibouti - ~ 500 m)
The raster dataset represents top location score areas suitable for bean storage, filtered by exclusive criteria: access to finance, distance to major roads, access to IT (mobile broadband... -
Crop Storage Final Location: Vegetables (Djibouti - ~ 500 m)
The raster dataset represents top location score areas suitable for vegetable storage, filtered by exclusive criteria: access to finance, distance to major roads, access to IT (mobile broadband... -
Crop Storage Final Location: Fruits and Nuts (Djibouti - ~ 500 m)
The raster dataset represents top location score areas suitable for vegetable storage, filtered by exclusive criteria: access to finance, distance to major roads, access to IT (mobile broadband... -
Crop Storage Location Score: Beans (Djibouti - ~ 500 m)
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 - Multi-criteria...
