Random forests as a tool for ecohydrological distribution modelling

Ecological Modelling

Volumn 207, Issue 2-4, 2007, Pages 304-318

  Peters, Jan ^a   De Baets, Bernard ^a   Verhoest, Niko E C ^a   Samson, Roeland ^a   Degroeve, Sven ^a   Becker, Piet De ^b   Huybrechts, Willy ^b  

^a GHENT UNIVERSITY   (Belgium)

^b RESEARCH INSTITUTE FOR NATURE AND FOREST INBO   (Belgium)

Author keywords

Classification tree; Ecohydrology; Generalized linear model; Logistic regression; Random forest; Vegetation model

Indexed keywords

BIODIVERSITY; CELLS; ECOLOGY; HYDROLOGY; MATHEMATICAL MODELS; VEGETATION;

ECOHYDROLOGICAL DISTRIBUTION MODELLING; HYDROGEOCHEMICAL HABITAT; LOGISTIC REGRESSION TECHNIQUE;

LEARNING SYSTEMS;

DATA SET; ECOHYDROLOGY; ENVIRONMENTAL CONDITIONS; FORESTRY MODELING; HYDROLOGICAL MODELING; SPECIES OCCURRENCE; VEGETATION TYPE;

BELGIUM; BENELUX; EURASIA; EUROPE; WESTERN EUROPE;

EID: 34548444205     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2007.05.011     Document Type: Article

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