Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2505-2023
https://doi.org/10.5194/nhess-23-2505-2023
Research article
 | 
14 Jul 2023
Research article |  | 14 Jul 2023

Criteria-based visualization design for hazard maps

Max Schneider, Fabrice Cotton, and Pia-Johanna Schweizer

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Cited articles

Armstrong, M. P., Xiao, N., and Bennett, D. A.: Using genetic algorithms to create multicriteria class intervals for choropleth maps, Annals of the Association of American Geographers, 93, 595–623, 2003. a
Baker, J., Bradley, B., and Stafford, P.: Seismic hazard and risk analysis, Cambridge University Press, https://doi.org/10.1017/9781108425056, 2021. a
Birch, J.: Worldwide prevalence of red-green color deficiency, JOSA A, 29, 313–320, 2012. a
Bivand, R., Ono, H., Dunlap, R., and Stigler, M.: Package “classint”, 2020. a
Borland, D. and Taylor, R. M.: Rainbow color map (still) considered harmful, IEEE Comput. Graph., 27, 14–17, 2007. a, b
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Short summary
Hazard maps are fundamental to earthquake risk reduction, but research is missing on how to design them. We review the visualization literature to identify evidence-based criteria for color and classification schemes for hazard maps. We implement these for the German seismic hazard map, focusing on communicating four properties of seismic hazard. Our evaluation finds that the redesigned map successfully communicates seismic hazard in Germany, improving on the baseline map for two key properties.
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