Assessment of shallow landslide susceptibility by means of multivariate statistical techniques

By C. Baeza, J. Corominas. 2001

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Citations in the corpus

A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping (2016, methodology): “…have been studies on landslide susceptibility evaluation using GIS, and many of these studies have applied probabilistic models (Lee and Min 2001; Baeza and Corominas 2001; Dahal et al. 2008; Pradhan et al. 2006, 2011; Youssef et al. 2009, 2012; Cevik and Topal 2003; Pradhan and Youssef 2010;…”
Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows (2014, unknown): “Together with discriminant analysis (e.g.Baeza and Corominas, 2001), soft computing techniques – such as “weights of evidence” (BonhamCarter, 1994; Neuhäuser and Terhorst, 2006) or “certainty factor” (e.g. Binaghi et al., 1998) – and artificial neural networks (e.g.Lee et al., 2003; Ermini et al.,…”
A comparative assessment between linear and quadratic discriminant analyses (LDA-QDA) with frequency ratio and weights-of-evidence models for forest fire susceptibility mapping in China (2017, methodology): “These models were chosen in this research because they had acceptable performance in other fields of study and classification problems (Baeza and Corominas 2001; Dai and Lee 2001 ; Eke r e t a l .”
A GIS-based comparative evaluation of analytical hierarchy process and frequency ratio models for landslide susceptibility mapping (2017, unknown): “…JIRANDEH, PRADHAN, XU, & GOKCEOGLU, 2013; Yao, Tham, & Dai, 2008), bivariate statistics (Nandi & Shakoor, 2010; Yalcin, 2008; Yalcin et al., 2011), and multivariate analysis (Baeza & Corominas, 2001; Komac, 2006; Nandi & Shakoor, 2010) have been widely applied to landslide susceptibility mapping.”
GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China (2015, methodology): “LR This model enables the user to add a favorable link function to the common linear regression model Pradhan (2010a, b), Pradhan and Lee (2010a), Bai et al. (2010), Yilmaz (2009b, 2010b), Akgun (2012), Xu et al.”
Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data (2005, methodology): “…applied probabilistic methods (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…”
Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues (2013, methodology): “The techniques most widely used are probably discriminant analysis (Carrara, 1983; Chung and Fabbri, 1995; Baeza and Corominas, 1996) and logistic regression (Hosmer and Lemeshow, 2000; Lee, 2005; Manzo et al., 2013), although other techniques have proved themselves reliable and in some cases more…”
Statistical and spatial analysis of landslide susceptibility maps with different classification systems (2016, methodology): “The five maps ranked the predicted values of a discriminant model whose predictability and reliability had been confirmed in Baeza and Corominas (2001).”
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).”
Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia (2010, background): “Baeza and Corominas 2001; Lee and Min 2001; Temesgen et al. 2001; Donati and Turrini 2002; Lee et al. 2002a, b, 2004a; Zhou et al. 2002; Lee and Choi 2003; Lee and Talib 2005; Lee and Dan 2005; Lee and Lee 2006; Pradhan et al. 2006; Lee and Pradhan 2006, 2007).”