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Articles | Volume 8, issue 2
Articles | Volume 8, issue 2
https://doi.org/10.5194/soil-8-559-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-8-559-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

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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.
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