This set of maps presents digital maps of soil properties on agricultural lands in France within the FAO framework “Global Soil Nutrient and Nutrient Budgets maps”. The spatial predictions of ten soil properties, namely Total N, available P, CEC, pH (water), Clay, Silt, Sand, Soil Organic Carbon, Bulk density and available K were generated with a 250 m spatial resolution. Random forest machine learning approach in combination with environmental variables was used for spatial distribution assessment of properties. Additionally, uncertainty maps expressed as the standard deviation of spatial predictions were produced. All maps are provided in a raster geotiff format. the identifier of the spatial reference system (srid) is 4326.

R, 4.1.0