![]() Consideration of many thematic layers in the statistical approach allows for the selection of the most appropriate geo-environmental variables. Many of these passive factors are interrelated and some of them are also related to active factors, i.e. The considered factors have an influence on mass movement formation, but their roles are different. Landslide susceptibility maps are developed using two techniques in presenting landslides, 13 conditioning factors, and three statistical methods: landslide index, weight of evidence, and logistic regression. Ground types at different depths (1 m and 4 m b.g.l.) are used in the statistical susceptibility assessment for the first time. Geological, geomorphological, hydrological, hydrogeological, and anthropogenic predisposing factors are considered using geographic information systems. This work aims to prepare a reliable landslide susceptibility model and to analyse the factors contributing to landslides in a dynamic environment by considering the city of Gdynia, Poland as a case study.
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