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

<p>Effectively communicating uncertainties inherent to statistical models is a challenging yet crucial aspect of the modelling process. This is particularly important in applied research, where output is used and interpreted by scientists and decision-makers alike. In disaster risk reduction,...

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Main Authors: M. Schlögl, A. Graser, R. Spiekermann, J. Lampert, S. Steger
Format: Article
Language:English
Published: Copernicus Publications 2025-04-01
Series:Natural Hazards and Earth System Sciences
Online Access:https://nhess.copernicus.org/articles/25/1425/2025/nhess-25-1425-2025.pdf
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author M. Schlögl
M. Schlögl
A. Graser
R. Spiekermann
J. Lampert
S. Steger
author_facet M. Schlögl
M. Schlögl
A. Graser
R. Spiekermann
J. Lampert
S. Steger
author_sort M. Schlögl
collection DOAJ
description <p>Effectively communicating uncertainties inherent to statistical models is a challenging yet crucial aspect of the modelling process. This is particularly important in applied research, where output is used and interpreted by scientists and decision-makers alike. In disaster risk reduction, susceptibility maps for natural hazards are vital for spatial planning and risk assessment. We present a novel type of landslide susceptibility map that jointly visualizes the estimated susceptibility and the corresponding prediction uncertainty, using an example from a mountainous region in Carinthia, Austria. We also provide implementation guidelines to create such maps using popular free and open-source software packages.</p>
format Article
id doaj-art-2b2373d5b2664e65a98f5d8cfea3d660
institution DOAJ
issn 1561-8633
1684-9981
language English
publishDate 2025-04-01
publisher Copernicus Publications
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series Natural Hazards and Earth System Sciences
spelling doaj-art-2b2373d5b2664e65a98f5d8cfea3d6602025-08-20T03:08:28ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812025-04-01251425143710.5194/nhess-25-1425-2025Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mappingM. Schlögl0M. Schlögl1A. Graser2R. Spiekermann3J. Lampert4S. Steger5Department of Landscape, Spatial and Infrastructure Sciences, University of Natural Resources and Life Sciences, Peter-Jordan Straße 82, 1190 Vienna, AustriaDepartment for Climate Impact Research, GeoSphere Austria, Hohe Warte 38, 1190 Vienna, AustriaCenter for Digital Safety & Security, Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, AustriaRiskLab, GeoSphere Austria, Hohe Warte 38, 1190 Vienna, AustriaCenter for Digital Safety & Security, Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, AustriaRiskLab, GeoSphere Austria, Hohe Warte 38, 1190 Vienna, Austria<p>Effectively communicating uncertainties inherent to statistical models is a challenging yet crucial aspect of the modelling process. This is particularly important in applied research, where output is used and interpreted by scientists and decision-makers alike. In disaster risk reduction, susceptibility maps for natural hazards are vital for spatial planning and risk assessment. We present a novel type of landslide susceptibility map that jointly visualizes the estimated susceptibility and the corresponding prediction uncertainty, using an example from a mountainous region in Carinthia, Austria. We also provide implementation guidelines to create such maps using popular free and open-source software packages.</p>https://nhess.copernicus.org/articles/25/1425/2025/nhess-25-1425-2025.pdf
spellingShingle M. Schlögl
M. Schlögl
A. Graser
R. Spiekermann
J. Lampert
S. Steger
Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
Natural Hazards and Earth System Sciences
title Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
title_full Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
title_fullStr Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
title_full_unstemmed Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
title_short Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
title_sort brief communication visualizing uncertainties in landslide susceptibility modelling using bivariate mapping
url https://nhess.copernicus.org/articles/25/1425/2025/nhess-25-1425-2025.pdf
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