The power of Random Forest for the identification and quantification of technogenic substrates in urban soils on the basis of DRIFT spectra.

Heil, Jannis; Michaelis, Xandra; Marschner, Bernd; Stumpe, Britta

Heil, Jannis; Michaelis, Xandra; Marschner, Bernd; Stumpe, Britta.

Afiliação

Heil J; Department of General Geography/Human-Environment Research, Institute of Geography, University of Wuppertal, 42119 Wuppertal, Germany. Electronic address: jheil@uni-wuppertal.de.
Michaelis X; Department of Soil Science/Soil Ecology, Institute of Geography, Ruhr-University Bochum, 44780 Bochum, Germany.
Marschner B; Department of Soil Science/Soil Ecology, Institute of Geography, Ruhr-University Bochum, 44780 Bochum, Germany.
Stumpe B; Department of General Geography/Human-Environment Research, Institute of Geography, University of Wuppertal, 42119 Wuppertal, Germany.

Environ Pollut ; 230: 574-583, 2017 11.

Article em En | MEDLINE | ID: mdl-28709056

Palavras-chave

Data mining; Diffuse reflectance spectroscopy; Random Forest; Technogenic substrates; Urban soils

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies Idioma: En Revista: Environ Pollut Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2017 Tipo de documento: Article

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