Kiribati Administrative "Islands" - Administrative Level 2

This dataset represents the second-level administrative unit 'Islands' of Kiribati. Used for Pacific Community data publishing on the Hand-in-Hand Geospatial Platform publishing. Data was sourced from (?) in June 2022, feature topology/geometry was corrected, and international borders validated against the United Nations official borders (United Nations Geospatial Information Section - UN-Map 2018). The dataset is part of FAO's Hand-in-Hand (HiH) second administrative level boundaries 2022 dataset series, published on the HiH Geospatial Platform for thematic mapping, integration of geospatially enabled statistics, zonal statistics extraction, and used for HiH initiative geospatial analysis (GIS-MCDA, suitability/location analysis, agricultural typologies).

Solomon Islands Administrative "Provinces" - Administrative Level 1

This dataset represents the administrative provinces of Solomon Islands. Used for Pacific Community data publishing on the Hand-in-Hand Geospatial Platform publishing. The data was sourced from (?) in June 2022, feature topology/geometry was corrected, and international borders validated against the United Nations official borders (United Nations Geospatial Information Section - UN-Map 2018). The dataset is part of FAO's Hand-in-Hand (HiH) second administrative level boundaries 2022 dataset series, published on the HiH Geospatial Platform for thematic mapping, integration of geospatially enabled statistics, zonal statistics extraction, and used for HiH initiative geospatial analysis (GIS-MCDA, suitability/location analysis, agricultural typologies).

Vanuatu Administrative "Area Councils" - Administrative Level 2

This dataset represents the second-level administrative unit 'Area Councils' of Vanuatu. Used for Pacific Community data publishing on the Hand-in-Hand Geospatial Platform. Data was sourced from (?) in June 2022, feature topology/geometry was corrected, and international borders validated against the United Nations official borders (United Nations Geospatial Information Section - UN-Map 2018). The dataset is part of FAO's Hand-in-Hand (HiH) second administrative level boundaries 2022 dataset series, published on the HiH Geospatial Platform for thematic mapping, integration of geospatially enabled statistics, zonal statistics extraction, and used for HiH initiative geospatial analysis (GIS-MCDA, suitability/location analysis, agricultural typologies).

Agricultural Typologies - Poverty Map - Tajikistan

The vector dataset portrays poverty rates at the country level. The data for the poverty dataset comes from: the Tajikistan Living Standard Measurement Survey 2009 (TLSS) collected by the State Statistical Agency of Tajikistan in collaboration with the World Bank, and the 2010 Census of Tajikistan. The TLSS provides information on food and non-food expenditure, labor activities, migration, agriculture, education, dwelling, utilities, and durable goods. The Census of Tajikistan covers approximately 1.6 million households and 8 million individuals. This dataset has been produced based on the data provided in the "Poverty Mapping in Tajikistan: Method and Key Findings" report. This report is the joint product of the World Bank Group (WBG) and the Agency of Statistics under the President of Tajikistan (TajStat).

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Regional Cities Demand (Tanzania - ~ 1Km)

regional cities demand dataset is modelled as raster-based travel time/cost analysis and weighted using the population/market size dimension as a measure of demand. Individual cumulative travel time/cost maps were produced for major regional cities (>250k habitants) less than 500 km from the border. The final market/demand layer consists of an arithmetic weighted sum of the normalized (0-100) city accessibility grids. The following values were assumed: City - Country - Population - Weight % Nairobi - KEN - 4,397,073 - 0.277 Kampala - UGA - 2,094,000 - 0.132 Mombasa - KEN - 1,208,333 - 0.076 Lilongwe - MWI - 1,055,700 - 0.067 Kigali - RWA - 859,332 - 0.054 Blantyre - MWI - 830,100 - 0.052 Nampula - MOZ - 663,212 - 0.042 This 1km 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).

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Accessibility: Travel Time-Cost to Major Maritime Ports (Pakistan - ~ 500m)

Accessibility to ports dataset is modeled as raster-based travel time/cost analysis. The model travel time/cost from/to ports is defined for major maritime ports only. 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).

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Accessibility: Travel Time-Cost to Major Cities (Tanzania - ~ 1Km)

Accessibility to major cities dataset is modelled as raster-based travel time/cost analysis, computed for the 10 largest cities (>200k habitants) in the country, normalized from 0 to 100, where 0 corresponds to the lowest city accessibility. The following cities are included: City - Population Dar es Salaam - 4,364,541 Mwanza - 706,453 Zanzibar - 501,459 Arusha - 416,442 Mbeya - 385,279 Morogoro - 305,840 Tanga - 221,127 Kigoma - 215,458 Dodoma - 213,636 Songea - 203,309 This 1km 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 (or optimal location)

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Non-intensive fish farming systems location score: African Catfish and Nile Tilapia (Nigeria - ~1km)

Raster representing potential/suitability score for non-intensive and integrated, small-scale, African Catfish and Nile Tilapia, freshwater fish farming systems, using ponds and small water bodies (SWB) in Nigeria. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. Non-intensive aquaculture systems are considered based on natural food supply from SWB or ponds, from integrated systems (crop/livestock byproducts or waste), or with complementary feeding resourcing to on-farm or locally produced feed. The score results from combining sub-model outputs that characterize natural geographical and economical factors: 1. farm-gate sales - based on population density classification 2. Water balance - precipitation/evapotranspiration 3. Soil/slope suitability. 4. Inputs - Crop and livestock byproducts It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("WaterBalance" X 0.5) + ("Soil/Slope " X 0.25) + (“Byproducts” X 0.125) + (”FarmgateSales” X 0.125)

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Accessibility: Travel Time-Cost to Major Maritime Ports (Nigeria - ~ 1Km)

Accessibility to major maritime ports is modelled as raster-based travel time/cost analysis. This 1km 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).

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Accessibility: Travel Time-Cost to Major Urban Areas (Nigeria - ~ 1Km)

Accessibility to major urban areas is modelled as raster-based travel time/cost analysis, computed considering the following thresholds: urban>1600 habitants/km², area>50km² (totaling 52 urban regions). Accessibility is calculated using roads intersection points with urban areas polygons (639 access points). This 1km 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 (or optimal location)