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Comparison of three supervised learning methods for digital soil mapping: Application to a complex terrain in the Ecuadorian Andes

Title data

Hitziger, Martin ; Ließ, Mareike:
Comparison of three supervised learning methods for digital soil mapping: Application to a complex terrain in the Ecuadorian Andes.
In: Applied and Environmental Soil Science. (2014) . - p. 809495.
ISSN 1687-7675
DOI: https://doi.org/10.1155/2014/809495

Official URL: Volltext

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: BAYCEER122418
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Soil Physics
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 29 Jun 2015 06:09
Last Modified: 29 Jun 2015 06:09
URI: https://eref.uni-bayreuth.de/id/eprint/15460