Articles | Volume 3, issue 4
Original research article
16 Nov 2017
Original research article |  | 16 Nov 2017

Mapping of soil properties at high resolution in Switzerland using boosted geoadditive models

Madlene Nussbaum, Lorenz Walthert, Marielle Fraefel, Lucie Greiner, and Andreas Papritz


Interactive discussion

Status: closed
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 minor revisions (review by Editor) (05 Sep 2017) by Bas van Wesemael
AR by Madlene Nussbaum on behalf of the Authors (11 Sep 2017)  Author's response   Manuscript 
ED: Publish as is (06 Oct 2017) by Bas van Wesemael
ED: Publish as is (07 Oct 2017) by Johan Six (Executive editor)
AR by Madlene Nussbaum on behalf of the Authors (08 Oct 2017)
Short summary
Digital soil mapping (DSM) relates soil property data to environmental data that describe soil-forming factors. With imagery sampled from satellites or terrain analysed at multiple scales, large sets of possible input to DSM are available. We propose a new statistical framework (geoGAM) that selects parsimonious models for DSM and illustrate the application of geoGAM to two study regions. Straightforward interpretation of the modelled effects likely improves end-user acceptance of DSM products.