GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran

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Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances (2013, background): “…different authors in landslide susceptibility mapping (Barredo et al. 2000; Nie et al. 2001; Ayalew et al. 2005; Komac 2006; Yalcin 2008; Akgun and Turk 2010; Pourghasemi et al. 2012c; Demir et al. 2012; Hasekiogullari and Ercanoglu 2012; Feizizadeh and Blaschke 2012a, b; Pourghasemi et al. 2012e).”
A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping (2014, methodology): “Criteria weights were first assigned to the attribute maps (Meng et al., 2011; Feizizadeh and Blaschke, 2013b; Feizizadeh et al., 2013b).”
Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues (2013, methodology): “Therefore distance to roads has been successfully used in landslide susceptibility assessments (Devkota et al., 2013; Demir et al., 2013; Feizizadeh and Blaschke, 2013; Ramakrishnan et al., 2013).”