Articles | Volume 8, issue 2
Original research article
05 Sep 2022
Original research article |  | 05 Sep 2022

How well does digital soil mapping represent soil geography? An investigation from the USA

David G. Rossiter, Laura Poggio, Dylan Beaudette, and Zamir Libohova

Model code and software

ncss-tech/compare-psm: PSM Comparison Code v1.0 Dylan Beaudette

Short summary
Maps of soil properties made by machine learning techniques are increasingly applied in Earth surface process modelling and agronomy. Maps of the same area made by different methods appear quite different and also differ from field-based polygon soil survey maps. We explore these differences both visually and numerically, using methods that quantify the spatial patterns. Readers can apply the methods to their areas of interest in the USA with the supplied R Markdown scripts.