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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010
Scientific Data, Volume 5, Article 180227, Year 2018
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Description
Global data sets on the geographic distribution of livestock are essential for diverse applications in agricultural socio-economics, food security, environmental impact assessment and epidemiology. We present a new version of the Gridded Livestock of the World (GLW 3) database, reflecting the most recently compiled and harmonized subnational livestock distribution data for 2010. GLW 3 provides global population densities of cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in each land pixel at a spatial resolution of 0.083333 decimal degrees (approximately 10 km at the equator). They are accompanied by detailed metadata on the year, spatial resolution and source of the input census data. Two versions of each species distribution are produced. In the first version, livestock numbers are disaggregated within census polygons according to weights established by statistical models using high resolution spatial covariates (dasymetric weighting). In the second version, animal numbers are distributed homogeneously with equal densities within their census polygons (areal weighting) to provide spatial data layers free of any assumptions linking them to other spatial variables. © The Author(s) 2018.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC6207061/bin/sdata2018227-isa1.zip
Authors & Co-Authors
Gilbert, Marius
Belgium, Brussels
Université Libre de Bruxelles
Belgium, Brussels
Fonds de la Recherche Scientifique - Fnrs
Nicolas, Gaëlle
Belgium, Brussels
Université Libre de Bruxelles
Cinardi, Giuseppina
Italy, Rome
Food and Agriculture Organization of the United Nations
van Boeckel, Thomas P.
Switzerland, Zurich
Eth Zürich
United States, Washington
Center for Disease Dynamics, Economics and Policy
Vanwambeke, Sophie O.
Belgium, Louvain-la-neuve
Université Catholique de Louvain
Wint, William G.R.
United Kingdom, Oxford
University of Oxford
Robinson, Timothy P.
Italy, Rome
Food and Agriculture Organization of the United Nations
Statistics
Citations: 265
Authors: 7
Affiliations: 7
Identifiers
Doi:
10.1038/sdata.2018.227
ISSN:
20524463
Research Areas
Food Security
Study Design
Cross Sectional Study