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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • AC1: 'Comment on soil-2021-80', David Rossiter, 16 Sep 2021
  • CC1: 'Comment on soil-2021-80', Alex McBratney, 29 Sep 2021
    • AC2: 'Reply on CC1', David Rossiter, 30 Oct 2021
  • RC1: 'Comment on soil-2021-80', Anonymous Referee #1, 02 Oct 2021
    • AC5: 'Reply on RC1', David Rossiter, 13 Feb 2022
  • CC2: 'Comment on soil-2021-80', Dylan Beaudette, 08 Oct 2021
    • AC4: 'Reply on CC2', David Rossiter, 14 Nov 2021
  • CC3: 'Posted on behalf of a colleague who would like to remain anonymous', Dylan Beaudette, 21 Oct 2021
    • AC3: 'Reply on CC3', David Rossiter, 14 Nov 2021
  • RC2: 'Comment on soil-2021-80', Bradley Miller, 10 Feb 2022
    • AC7: 'Reply on RC2', David Rossiter, 20 Mar 2022
  • RC3: 'Comment on soil-2021-80', H. Curtis Monger, 01 Mar 2022
    • AC6: 'Reply on RC3', David Rossiter, 12 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (25 Apr 2022) by Jacqueline Hannam
AR by David Rossiter on behalf of the Authors (01 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (25 Jul 2022) by Jacqueline Hannam
ED: Publish subject to technical corrections (08 Aug 2022) by John Quinton (Executive editor)
AR by David Rossiter on behalf of the Authors (09 Aug 2022)  Author's response   Manuscript 
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.