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

DOI zum Zitieren dieses Dokuments: https://doi.org/10.1371/journal.pone.0153673

Title data

Ließ, Mareike ; Schmidt, Johannes ; Glaser, Bruno:
Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches.
In: PLOS ONE. Vol. 11 (2016) Issue 4 . - pp. 1-22.
ISSN 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0153673

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Further data

Item Type: Article in a journal
DDC Subjects: 500 Science
Institutions of the University: Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Research Institutions
Research Institutions > Research Centres
Language: English
Originates at UBT: Yes
Date Deposited: 19 Apr 2018 10:32
Last Modified: 19 Apr 2018 10:32
URI: https://epub.uni-bayreuth.de/id/eprint/3628

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