Articles | Volume 25, issue 1
https://doi.org/10.5194/nhess-25-183-2025
https://doi.org/10.5194/nhess-25-183-2025
Research article
 | 
07 Jan 2025
Research article |  | 07 Jan 2025

Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models

Marko Sinčić, Sanja Bernat Gazibara, Mauro Rossi, and Snježana Mihalić Arbanas

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Latest update: 08 Jan 2025
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Short summary
The paper focuses on classifying continuous landslide conditioning factors for susceptibility modelling, which resulted in 54 landslide susceptibility models that tested 11 classification criteria in combination with 5 statistical methods. The novelty of the research is that using stretched landslide conditioning factor values results in models with higher accuracy and that certain statistical methods are more sensitive to the landslide conditioning factor classification criteria than others.
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