Gridded livestock density (Global - 2015 - 10 km) - GLW4

This dataset contains peer-reviewed spatial dataset on livestock distribution for applications in development, environment and health. It contains the most up to date version of GLW 3 for the reference year 2010 and the following species: cattle, sheep, goats, buffaloes, horses, pigs, chicken and ducks. The individual species datasets are available at global extent and 5 minutes of arc resolution (approx. 10 km at the equator). GLW 3 mainly differs from previous GLW versions in that the input data has been improved, the downscaling algorithm has been updated (Random Forest) and much more detailed metadata has been provided. All datasets are licensed through a Creative Commons Attribution 4.0 International License. The layers contain the density of animals per pixel, with weight estimated by the Random Forest model. **References** - Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010 - Income Disparities and the Global Distribution of Intensively Farmed Chicken and Pigs - Using Random Forest to Improve the Downscaling of Global Livestock Census Data **Data creation:** 2022-04-29 **Supplemental Information:** No data value: -9999 Unit : head/km² Scale Factor : 1.0 Spatial resolution: Approximately 10km (0.08333 degrees) Data type: Float64 Map code : D-DA Spatial extent: World Spatial Reference System (SRS): EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long) **Contact points:** Resource Contact: [Dominik Wisser](mailto:Dominik.Wisser@fao.org) Metadata Contact: [Giuseppina Cinardi](mailto:giuseppina.cinardi@fao.org) **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Gridded Livestock of the World – 2010 (GLW 3)

This dataset contains the most up to date version of GLW 4 for the reference year 2020 for the following species: buffalo, cattle, sheep, goats, pigs and chicken. The individual species datasets are available at global extent and 5 minutes of arc resolution (approx. 10 km at the equator).   The fourth version of GLW, compared to the previous ones, reflects the most recently compiled and harmonized subnational livestock distribution data and much more detailed metadata.   The layers contain the density of animals per km², with weight estimated by the Random Forest model. The livestock species modelled include: buffaloes, cattle, chickens, goats, pigs and sheep

This dataset contains the most up to date version of GLW 4 for the reference year 2020 for the following species: buffalo, cattle, sheep, goats, pigs and chicken,at the resolution of 0.05 ×0.05 ,  The fourth version of GLW, compared to the previous ones, reflects the most recently compiled and harmonized subnational livestock distribution data

This dataset contains the most up to date version of GLW 4 for the reference year 2020 for the following species: buffalo, cattle, sheep, goats, pigs and chicken. The individual species datasets are available at global extent and 5 minutes of arc resolution (approx. 10 km at the equator). The layers contain the density of animals per km², with weight estimated by the Random Forest model. The livestock species modelled include: buffaloes, cattle, chickens, goats, pigs and sheep

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 - Multicriteria Decision Analysis for value chain infrastructure location. The analysis is based on livestock production potential using proximity to cities, crop production, and aggregated density of cattle, goats, sheep and pigs. The score is achieved by processing sub-model outputs that characterize logistical factors: 1. Supply - Feed and livestock distribution. 2. Infrastructure - Transportation network (accessibility) 3. Atlas AI Asset Wealth Index. It consists of an arithmetic weighted sum of normalized grids (0 to 100): (”Livestock Density” * 0.4) + ("Asset Wealth" * 0.3) + (“Major Cities Accessibility” * 0.2) + ("Crop Production" * 0.1) **Data publication:** 2021-10-18 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Maribel Elias](mailto:maribel.elias@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. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2 3. OpenStreetMap. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Slaughterhouse Location Score (Congo, Rep. - ~ 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 - Multicriteria Decision Analysis for value chain infrastructure location. The analysis is based on livestock production potential using proximity to cities, crop production, and aggregated density of cattle, goats, sheep and pig. Aggregated density layer produced using weighting by the average live weight: Goat 30kg (X0.09); Sheep 30kg (X0.09); Cattle 210kg (X0.63), Pig 63kg (X0.19). The score is achieved by processing sub-model outputs that characterize logistical factors: 1. Supply - Feed and livestock distribution. 2. Infrastructure - Transportation network (accessibility) 3. Atlas AI Asset Wealth Index. It consists of an arithmetic weighted sum of normalized grids (0 to 100): (”Livestock Density” * 0.4) + ("Asset Wealth" * 0.3) + (“Major Cities Accessibility” * 0.2) + ("Crop Production" * 0.1). **Data publication:** 2022-05-11 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Metadata 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. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2). 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units. 3. OpenStreetMap. 4. Altas AI - 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:** Zipped raster TIF file for Slaughterhouse Location Score (Gabon - ~ 500 m)