Articles | Volume 25, issue 4
https://doi.org/10.5194/nhess-25-1425-2025
https://doi.org/10.5194/nhess-25-1425-2025
Brief communication
 | 
14 Apr 2025
Brief communication |  | 14 Apr 2025

Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping

Matthias Schlögl, Anita Graser, Raphael Spiekermann, Jasmin Lampert, and Stefan Steger

Data sets

Supplementary code and data to "Communicating uncertainties in landslide susceptibility modeling using bivariate mapping" Matthias Schlögl and Anita Graser https://doi.org/10.5281/zenodo.15189349

Model code and software

Landslide Susceptibility Modelling Carinthia Matthias Schlögl https://gitlab.com/Rexthor/lsm-carinthia

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Short summary
Communicating uncertainties is a crucial yet challenging aspect of spatial modelling – especially in applied research, where results inform decisions. In disaster risk reduction, susceptibility maps for natural hazards guide planning and risk assessment, yet their uncertainties are often overlooked. We present a new type of landslide susceptibility map that visualizes both susceptibility and associated uncertainty alongside guidelines for creating such maps using free and open-source software.
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