Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Belice River basin (western Sicily, Italy)

In this paper, terrain susceptibility to earth-flow occurrence was evaluated by using geographic information systems (GIS) and two statistical methods: Logistic regression (LR) and multivariate adaptive regression splines (MARS). LR has been already demonstrated to provide reliable predictions of ea...

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Veröffentlicht in:	Geomorphology (Amsterdam, Netherlands) Netherlands), 2015-08, Vol.242, p.49-64
Hauptverfasser:	Conoscenti, Christian, Ciaccio, Marilena, Caraballo-Arias, Nathalie Almaru, Gómez-Gutiérrez, Álvaro, Rotigliano, Edoardo, Agnesi, Valerio
Format:	Artikel
Sprache:	eng
Schlagworte:	Earth-flows Freshwater Geographic information systems Geographic Information Systems (GIS) Landslide susceptibility Landslides Logistic regression Mars Mathematical models Multivariate adaptive regression splines Receiver operating characteristic curve Regression Sicily Statistical analysis Statistical methods
Online-Zugang:	Volltext
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