Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 25, issue 4
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.
https://doi.org/10.5194/nhess-25-1425-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 4
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

Viewed

Total article views: 5,276 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,468 724 84 5,276 65 152 175
  • HTML: 4,468
  • PDF: 724
  • XML: 84
  • Total: 5,276
  • Supplement: 65
  • BibTeX: 152
  • EndNote: 175
Views and downloads (calculated since 03 Dec 2024)
Cumulative views and downloads (calculated since 03 Dec 2024)

Viewed (geographical distribution)

Total article views: 5,276 (including HTML, PDF, and XML) Thereof 5,021 with geography defined and 255 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Apr 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint