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Color map design for visualization in flood risk assessment
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Computer science. (Datavetenskap)ORCID iD: 0000-0003-0085-5829
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Land management, GIS. (Geospatial informationsvetenskap / Geospatial information science)ORCID iD: 0000-0002-3906-6088
2017 (English)In: International Journal of Geographical Information Science, ISSN 1365-8816, E-ISSN 1365-8824, Vol. 31, no 11, 2286-2309 p.Article in journal (Refereed) Published
Abstract [en]

Visualizations of flood maps from simulation models are widely used for assessing the likelihood of flood hazards in spatial planning. The choice of a suitable type of visualization as well as efficient color maps is critical to avoid errors or bias when interpreting the data. Based on a review of previous flood uncertainty visualization techniques, this paper identifies areas of improvements and suggests criteria for the design of a task-specific color scale in flood map visualization. We contribute a novel color map design for visualizing probabilities and uncertainties from flood simulation ensembles. A user study encompassing 83 participants was carried out to evaluate the effects of this new color map on user’s decisions in a spatial planning task. We found that the type of visualization makes a difference when it comes to identification of non-hazardous sites in the flood risk map and when accepting risks in more uncertain areas. In comparison with two other existing visualization techniques, we observed that the new design was superior both in terms of task compliance and efficiency. In regions with uncertain flood statuses, users were biased toward accepting less risky locations with our new color map design.

Place, publisher, year, edition, pages
2017. Vol. 31, no 11, 2286-2309 p.
Keyword [en]
color scales, ensemble modeling, flood maps, user study, Visualization
National Category
Physical Geography Other Computer and Information Science
Identifiers
URN: urn:nbn:se:hig:diva-24871DOI: 10.1080/13658816.2017.1349318ISI: 000408205100009Scopus ID: 2-s2.0-85023743866OAI: oai:DiVA.org:hig-24871DiVA: diva2:1134033
Available from: 2017-08-17 Created: 2017-08-17 Last updated: 2017-12-07Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf