Repository of code for different approaches of predictive mapping of soil properties. Predictive soil mapping (PSM) as presented here is the general approach of using environmental raster data (e.g. digital elevation models, Landsat) to help predictively interpolate between field soil observations to create continuous, mostly finer resolution (~30-250 m) soil maps in a raster format. This workflow is built on picking environmental raster data that represent aspects of soil forming factors: soil = f(climate, organisms, relief, parent material, time). Once the relationship of field data to the raster soil forming factor layers is discovered, that model can then be predicted into areas between observations that are represented by the training sample (interpolation).
This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the software.