{"id":"W2588003345","doi":"10.1371/journal.pone.0169748","title":"SoilGrids250m: Global gridded soil information based on machine learning","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":4665,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Random forest; Landform; Soil texture; Gradient boosting; Soil science; Environmental science; Soil map; Shuttle Radar Topography Mission; Ensemble learning; Spatial variability; Standard deviation; Land cover; Computer science; Remote sensing; Artificial intelligence; Cartography; Mathematics; Land use; Digital elevation model; Statistics; Geology; Soil water","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null}