Articles | Volume 3, issue 4
SOIL, 3, 191–210, 2017
https://doi.org/10.5194/soil-3-191-2017
SOIL, 3, 191–210, 2017
https://doi.org/10.5194/soil-3-191-2017

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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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)
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.