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The aim of this paper is to investigate landslide susceptibility mapping in regional scale, considering the spatial stationarity of the relationship between landslide susceptibility and its influencing factors. Landslides are among the most severe natural hazards and their management has a key role to human safety. During the last decades, a significant number of GIS-based methods for landslide susceptibility assessment and mapping have been proposed in the literature. In this paper, contemporary methods for landslide susceptibility analysis have been applied. The latter include global and local regression analysis aiming to study the relationship between landslide occurrence and its determinants. This paper also examines if this relationship is spatial non-stationary via the application of the Geographically Weighted Regression (GWR). The proposed methodology has been applied in the Peloponnese peninsula, in South Greece. To examine the factors responsible for the occurrence of a landslide event; topographic (slope angle, elevation), geological and other environmental variables (land cover, rainfalls) were considered. The results suggest that GWR provides a potential improvement in landslide susceptibility assessment compared to traditional global regression analysis methods.
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Chalkias et al. (2014) studied this question.
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