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 frequencies of individual types of livestock, such as cattle, horses, and chickens. The dataset also provides the original statitical data in gridded form.
Subdatasets
cattle | Frequency of cattle
buffalos | Frequency of buffalo
sheep | Frequency of sheep
goats | Frequency of goats
pigs | Frequency of pigs
chickens | Frequency of chickens
ducks | Frequency of ducks
masDMT query
# data call without specifying subdataset and resolution
list_data("GLW_nr")
# data call for specific subdataset
list_data("GLW_nr/cattle")
# data call to subdataset with a specific resolution
list_data("GLW_nr/cattle/10km")
References
(bibtex)
[1] Gilbert, Nicolas, Cinardi et al. (2018)