Articles | Volume 6, issue 2
SOIL, 6, 269–289, 2020
https://doi.org/10.5194/soil-6-269-2020
SOIL, 6, 269–289, 2020
https://doi.org/10.5194/soil-6-269-2020

Original research article 14 Jul 2020

Original research article | 14 Jul 2020

Oblique geographic coordinates as covariates for digital soil mapping

Anders Bjørn Møller et al.

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (09 Mar 2020) by Kristof Van Oost
AR by Svenja Lange on behalf of the Authors (15 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Jun 2020) by Kristof Van Oost
RR by Anonymous Referee #1 (08 Jun 2020)
ED: Publish as is (18 Jun 2020) by Kristof Van Oost
ED: Publish as is (18 Jun 2020) by Kristof Van Oost(Executive Editor)
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Short summary
Decision trees have become a widely adapted tool for mapping soil properties in geographic space. However, it is problematic to implement spatial relationships in the models. We present a new method which uses geographic coordinates along several axes tilted at oblique angles in the models. We test this method on four spatial datasets. The results show that the new method is at least as accurate as other proposed alternatives, has a computational advantage and is flexible and interpretable.