Crop Storage Final Location: Vegetables (Mozambique - ~ 500 m)

The raster dataset represents top location score areas suitable for tropical fruits storage, filtered by exclusive criteria: access to finance, distance to major roads. Access to finance and roads are defined using a linear distance threshold: • Banks - 20km buffer radius. • Major roads - 2km buffer radius. The location score is achieved by processing sub-model outputs that characterize production, logistical and socio-economic factors for warehouse/storage locations: • Supply: Production. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. • Poverty. It consists of an arithmetic weighted sum of normalized grids (0 to 100). This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2022-11-17 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Dariia Nesterenko](mailto:dariia.nesterenko@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty - FAO **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Crop Storage Final Location: Tropical Fruits (Mozambique - ~ 500 m)

The raster dataset represents top location score areas suitable for maize storage, filtered by exclusive criteria: access to finance, distance to major roads. Access to finance and roads are defined using a linear distance threshold: • Banks - 20km buffer radius. • Major roads - 2km buffer radius. The location score is achieved by processing sub-model outputs that characterize production, logistical and socio-economic factors for warehouse/storage locations: • Supply: Production. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. • Poverty. It consists of an arithmetic weighted sum of normalized grids (0 to 100). This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2022-11-17 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Dariia Nesterenko](mailto:dariia.nesterenko@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty - FAO **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Crop Storage Final Location: Maize (Mozambique - ~ 500 m)

The raster dataset represents top location score areas suitable for cassava storage, filtered by exclusive criteria: access to finance, and distance to major roads. Access to finance and roads are defined using a linear distance threshold: • Banks - 20km buffer radius. • Major roads - 2km buffer radius. The location score is achieved by processing sub-model outputs that characterize production, logistical and socio-economic factors for warehouse/storage locations: • Supply: Production. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. • Poverty. It consists of an arithmetic weighted sum of normalized grids (0 to 100). This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2022-11-17 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Dariia Nesterenko](mailto:dariia.nesterenko@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty - FAO **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Crop Storage Final Location: Cassava (Mozambique - ~ 500 m)

The raster dataset represents top location score areas suitable for potatoes storage, filtered by exclusive criteria: access to finance, and distance to major roads. Access to finance and roads are defined using a linear distance threshold: • Banks - 20km buffer radius. • Major roads - 2km buffer radius. • Access to IT is characterized by applying the mobile broadband coverage map. The location score is achieved by processing sub-model outputs that characterize production, logistical and socio-economic factors for warehouse/storage locations: • Supply: Production. • Demand: Human population density, Major cities population. • Infrastructure/accessibility: main transportation infrastructure. • Poverty. It consists of an arithmetic weighted sum of normalized grids (0 to 100). This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2023-07-18 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Dariia Nesterenko](mailto:dariia.nesterenko@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty – Asset Wealth Index 2020. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Crop Storage Final Location: Potatoes (Mozambique - ~ 500 m)

The raster dataset represents top location score areas suitable for rice storage, filtered by exclusive criteria: access to finance, and distance to major roads. Access to finance and roads is defined using a linear distance threshold: • Banks - 20km buffer radius. • Major roads - 2km buffer radius. • Access to IT is characterized by applying the mobile broadband coverage map. The location score is achieved by processing sub-model outputs that characterize production, logistical and socio-economic factors for warehouse/storage locations: • Supply: Production. • Demand: Human population density, Major cities population. • Infrastructure/accessibility: main transportation infrastructure. • Poverty. It consists of an arithmetic weighted sum of normalized grids (0 to 100). This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2023-07-18 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Dariia Nesterenko](mailto:dariia.nesterenko@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty – Asset Wealth Index 2020. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Download: Crop Storage Final Location: Rice (Mozambique - ~ 500 m)

The raster dataset represents top location score areas suitable for onion storage, filtered by exclusive criteria: access to finance, and distance to major roads. Access to finance and roads is defined using a linear distance threshold: • Banks - 20km buffer radius. • Major roads - 2km buffer radius. • Access to IT is characterized by applying the mobile broadband coverage map. The location score is achieved by processing sub-model outputs that characterize production, logistical and socio-economic factors for warehouse/storage locations: • Supply: Production. • Demand: Human population density, Major cities population. • Infrastructure/accessibility: main transportation infrastructure. • Poverty. It consists of an arithmetic weighted sum of normalized grids (0 to 100). This 500m resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2023-07-24 **Contact points:** Resource Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Dariia Nesterenko](mailto:dariia.nesterenko@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. University of Minnesota. Institute on the Environment. 3. OpenStreetMap. 4. Poverty – Asset Wealth Index 2020. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Crop Storage Final Location: Onion (Mozambique - ~ 500 m)