Articles | Volume 25, issue 4
https://doi.org/10.5194/nhess-25-1425-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-1425-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication
| 
14 Apr 2025
Brief communication |
| 14 Apr 2025
| 14 Apr 2025
Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
Matthias Schlögl
CORRESPONDING AUTHOR
Department of Landscape, Spatial and Infrastructure Sciences, University of Natural Resources and Life Sciences, Peter-Jordan Straße 82, 1190 Vienna, Austria
Department for Climate Impact Research, GeoSphere Austria, Hohe Warte 38, 1190 Vienna, Austria
Anita Graser
Center for Digital Safety & Security, Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria
Raphael Spiekermann
RiskLab, GeoSphere Austria, Hohe Warte 38, 1190 Vienna, Austria
Jasmin Lampert
Center for Digital Safety & Security, Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria
Stefan Steger
RiskLab, GeoSphere Austria, Hohe Warte 38, 1190 Vienna, Austria
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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.
Communicating uncertainties is a crucial yet challenging aspect of spatial modelling –...
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