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1 Ergebnisse
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Consequences of spatial structure in soil–geomorphic data o..:
Daehyun Kim
;
Insang Song
;
Lorrayne Miralha
...
http://dx.doi.org/10.1080/10106049.2023.2245381. , 2023
Link:
https://doi.org/10.1080/10106049.2023.2245381
RT Journal T1
Consequences of spatial structure in soil–geomorphic data on the results of machine learning models
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:119ad384f342468abb3cb50735dab1af&Exemplar=1&LAN=DE A1 Daehyun Kim A1 Insang Song A1 Lorrayne Miralha A1 Daniel R. Hirmas A1 Ryan W. McEwan A1 Tom G. Mueller A1 Pavel Šamonil PB Taylor & Francis Group YR 2023 K1 soil–landform relationship K1 spatial autocorrelation K1 machine learning K1 spatial filtering regression K1 variable importance K1 Physical geography K1 GB3-5030 JF http://dx.doi.org/10.1080/10106049.2023.2245381 LK http://dx.doi.org/https://doi.org/10.1080/10106049.2023.2245381 DO https://doi.org/10.1080/10106049.2023.2245381 SF ELIB - SuUB Bremen
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