Spatial prediction of soil water retention in a Páramo landscape: Methodological insight into machine learning using random forest

Publikationsart: Zeitschriftenbeiträge (peer-reviewed)
Titel: Spatial prediction of soil water retention in a Páramo landscape: Methodological insight into machine learning using random forest
DOI: 10.1016/j.geoderma.2017.12.002
Band: 316
ISBN: 1872-6259
Autoren: Carlos M. Guio-Blanco, Victor M. Brito Gomez, Patricio Crespo, Prof. Dr. Mareike Ließ
Herausgeber: Elsevier
Seiten: 100-114
Veröffentlichungsdatum: 15.04.2018
Zitation: Guio-Blanco, Carlos M.; Brito Gomez, Victor M.; Crespo, Patricio; Ließ, Mareike (2018): Spatial prediction of soil water retention in a Páramo landscape: Methodological insight into machine learning using random forest. 316, S. 100-114. DOI: 10.1016/j.geoderma.2017.12.002