The supplementary dataset accompanying a textbook "Cherlinka, Gallay, Dmytruk (2025) Predictive Modeling of Soil Types and Their Characteristics" contains the geospatial materials used throughout the
This dataset contains a multi-band GeoTIFF raster file (COVARIATS_EPSG25832.tif) for the area of the German federal state Bavaria with 36 environmental covariates derived from digital elevation models
The data here were originally posted to facilitate timely and transparent peer review. The final public data release with formal metadata is now available from at the following location: Nauman, T.W
aH, D and V of the previous year were used as explanatory variables while predicting the current year increments.bsoil variables characterise A-horizon.
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado...
