GIS-based multivariate statistical analysis for landslide susceptibility zoning: a first validation on different areas of Liguria region (Italy)

Several approaches have been developed worldwide in order to assess landslide hazards. The most diffuse methods are heuristic analysis, statistical or process-based methods (Fell et al., 2008). The present research consists in applying univariate and multivariate statistical analysis for landslide susceptibility zoning, considering the influence of various factors on the occurrence and triggering of slides and flows, and critically reviewing the choice of the calibration area in terms of extension and characteristic of influencing factors. The analysis was applied to different areas of Liguria region (Italy).