A procedure for landslide susceptibility zonation by the conditional analysis method

By A. Clerici, S. Perego, C. Tellini, P. Vescovi. 2002

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Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping (2009, background): “…models (Akgun et al. 2007; Dahal et al. 2007; Clerici et al. 2006; Cevik and Topal 2003; Rowbotham and Dudycha 1998; Jibson et al. 2000; Luzi et al. 2000; Parise and Jibson 2000; Baeza and Corominas 2001; Clerici et al. 2002; Donati and Turrini 2002; Zhou et al. 2002; Lee et al. 2004b).”
Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models (2007, background): “Recently, there were studies on landslide hazard evaluation using GIS, and many of these studies have applied probabilistic methods (Rowbotham and Dudycha 1998; Guzzetti et al. 1999; Jibson et al. 2000; Luzi et al. 2000; Parise and Jibson 2000; Rautelal and Lakhera 2000; Baeza and Corominas 2001; Le”
Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia (2010, methodology): “Recently, there have been studies on landslide susceptibility evaluation using GIS, and many of these studies have applied probabilistic models such as the frequency ratio method (Akgun and Bulut 2007; Dahal et al. 2008; Clerici et al. 2002, 2006; Cevik and Topal 2003; Rowbotham and Dudycha 1998; ”
Implementation of reconstructed geomorphologic units in landslide susceptibility mapping: the Melen Gorge (NW Turkey) (2008, methodology): “Several applications on bivariate statistical methods ( Clerici et al. 2002, 2006; Remondo et al. 2003; Suzen and Doyuran 2004a; Gokceoglu et al. 2005), multivariate statistical methods (Carrara 1983; Chung et al. 1995; Suzen and Doyuran 2004b; Can et al. 2005; Guzzetti et al. 2006; Lee and Pradhan”
Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data (2005, background): “…(Rowbotham and Dudycha 1998, Jibson et al. 2000, Luzi et al. 2000, Parise and Jibson 2000, Rautelal and Lakhera 2000, Baeza and Corominas 2001, Lee and Min 2001, Temesgen et al. 2001, Clerici et al. 2002, Donati and Turrini 2002, Lee et al. 2002a, b, 2004a, Zhou et al. 2002, Lee and Choi 2003).”
A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping (2016, background): “…2001; Dahal et al. 2008; Pradhan et al. 2006, 2011; Youssef et al. 2009, 2012; Cevik and Topal 2003; Pradhan and Youssef 2010; Vijith andMadhu 2008; Clerici et al. 2002, 2006; Donati and Turrini 2002; Luzi et al. 2000; Jibson et al. 2000; Zhou et al. 2002; Parise and Jibson 2000; Lee and Choi…”
Ensemble-based landslide susceptibility maps in Jinbu area, Korea (2012, background): “In mathematical form, it is defined by correlating landslide density with different combinations of the factors (Clerici et al. 2002; Guzzetti et al. 2005).”
GIS-based logistic regression method for landslide susceptibility mapping in regional scale * (2006, methodology): “The most used statistical techniques are clearly the multivariate ones, especially linear logistic regression, and discriminate analysis (Clerici et al., 2002).”