Details
This dataset downscales national and subnational statistics based on the spatial variability of gridded data on environmental and socio-economic drivers. This is achieved through a Random Forest modeling framework, and results on several layers with per-pixel densities of individual types of livestock, such as cattle, horses, and chickens. The dataset also provides the original statitical data in gridded form.
Subdatasets
cattle | Cattle density (nr. per km2)
buffalos | Buffalo density (nr. per km2)
sheep | Sheep density (nr. per km2)
goats | Goats density (nr. per km2)
pigs | Pigs density (nr. per km2)
chickens | Chicken density (nr. per km2)
ducks | Duck density (nr. per km2)
masDMT query
# data call without specifying subdataset and resolution
list_data("GLW_aw")
# data call for specific subdataset
list_data("GLW_aw/cattle")
# data call to subdataset with a specific resolution
list_data("GLW_aw/cattle/10km")
References
(bibtex)
[1] Gilbert, Nicolas, Cinardi, Van Boeckel, Vanwambeke, Wint, and Robinson (2018)