GLW 4: Gridded Livestock Density (Global - 2015 - 10 km)

This dataset contains the most up to date version of GLW 4 for the reference year 2015 for 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).

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 pixel, with weight estimated by the Random Forest model. The livestock species modelled include: buffaloes, cattle, chickens, ducks, goats, horses, pigs and sheep.

All datasets are licensed through a Creative Commons Attribution 4.0 International License.

References

Supplemental Information:

Unit: head/km² or birds/km²

Data type: Float64

No data value: -9999

Spatial resolution: Approximately 10km (0.08333 degrees)

Spatial extent: World

Spatial Reference System (SRS): EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)

Contact points:

Resource Contact: Timothy Robinson

Resource Contact: Dominik Wisser

Metadata Contact: Giuseppina Cinardi

Online resources:

Download: Gridded Livestock of the World – 2015 (GLW 4)

Data and Resources

Metadata:

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abstract
This dataset contains the most up to date version of GLW 4 for the reference year 2015 for 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). 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 pixel, with weight estimated by the Random Forest model. The livestock species modelled include: buffaloes, cattle, chickens, ducks, goats, horses, pigs and sheep. All datasets are licensed through a Creative Commons Attribution 4.0 International License. **References** - [Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010](https://www.nature.com/articles/sdata2018227) - [Income Disparities and the Global Distribution of Intensively Farmed Chicken and Pigs](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0133381) - [Using Random Forest to Improve the Downscaling of Global Livestock Census Data](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0150424)
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title
GLW 4: Gridded Livestock Density (Global - 2015 - 10 km)
descriptiveKeywords
  • keywords
    • Gridded Livestock of the World 3
    • Modeled global distribution
    • Livestock
    • Density
    • Buffaloes
    • Cattle
    • Chickens
    • Ducks
    • Horses
    • Goats
    • Pigs
    • Sheep
    • FAOSTAT
    • GLW4
    • GIS
    • NSAL
    • NSA
    type
    theme
  • keywords
    • Global
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    place
  • keywords
    • 2015
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    temporal
extent
  • geographic
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    east
    180.00
    north
    90.00
    south
    -90.00
    west
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language
eng
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supplementalInformation
Unit: head/km² or birds/km² Data type: Float64 No data value: -9999 Spatial resolution: Approximately 10km (0.08333 degrees) Spatial extent: World Spatial Reference System (SRS): EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)
topicCategory
  • geoscientificInformation
  • farming
  • environment
  • boundaries
  • imageryBaseMapsEarthCover
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dataset
fileIdentifier
15f8c56c-5499-45d5-bd89-59ef6c026704
metadataStandardName
ISO 19115:2003/19139
metadataStandardVersion
1.0
referenceSystemIdentifier
GCS_WGS_1984
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  • dimension
    • dimensionName
      row
      dimensionSize
      21600
    • dimensionName
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    numberOfDimensions
    2

Options:

cloned
True
cloned_on
2022-05-06 12:48:52.994704
source_url
https://data.apps.fao.org/catalog/dataset/47457ad7-ed00-4346-81e2-85aacd0e6d91
validation
True

Type:

iso

Additional Info

Field Value
Source Source URL
Last Updated December 6, 2022, 09:35 (UTC)
Created May 6, 2022, 12:48 (UTC)