Articles | Volume 3, issue 4
SOIL, 3, 191–210, 2017
SOIL, 3, 191–210, 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.

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Cited articles

Adhikari, K., Kheir, R., Greve, M., Bøcher, P., Malone, B., Minasny, B., McBratney, A., and Greve, M.: High-resolution 3-D mapping of soil texture in Denmark, Soil Sci. Soc. Am. J., 77, 860–876,, 2013.
ALN: Historische Feuchtgebiete der Wildkarte 1850. Amt für Landschaft und Natur des Kantons Zürich, available at: (last access: 29 March 2017), 2002.
ALN: Geologische Karte des Kantons Zürich nach Hantke et al. 1967, GIS-ZH Nr. 41. Amt für Landschaft und Natur des Kantons Zürich, available at: (last access: 15 February 2015), 2014a.
ALN: Meliorationskataster des Kantons Zürich, GIS-ZH Nr. 148. Amt für Landschaft und Natur des Kantons Zürich, available at: (last access: 29 March 2017), 2014b.
AWEL: Hinweisflächen für anthropogene Böden, GIS-ZH Nr. 260. Amt für Abfall, Wasser, Energie und Luft des Kanton Zürich, available at: (last access: 29 March 2017), 2012.
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.