Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches

Publikationsart: Zeitschriftenbeiträge (peer-reviewed)
Titel: Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches
Medien: PLoS ONE
DOI: 10.1371/journal.pone.0153673
Heft: 4
Band: 11
ISBN: 1932-6203
Autoren: Prof. Dr. Mareike Ließ , Johannes Schmidt, Bruno Glaser
Herausgeber: PLoS
Veröffentlichungsdatum: 29.04.2016
Zitation: Ließ, Mareike; Schmidt, Johannes; Glaser, Bruno (2016): Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches. PLoS ONE 11 (4). DOI: 10.1371/journal.pone.0153673