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Geovisualisation of uncertainty in simulated flood maps
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management. (Geospatial informationsteknik)ORCID iD: 0000-0002-3906-6088
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.ORCID iD: 0000-0003-0085-5829
2014 (English)In: Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2014, Game and Entertainment Technologies 2014 and Computer Graphics, Visualization, Computer Vision and Image Processing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014 / [ed] Katherine Blashki and Yingcai Xiao, IADIS Press , 2014, 206-214 p.Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents a three-dimensional (3D) geovisualisation model of uncertainties in simulated flood maps that can help communicate uncertain information in the data being used. An entropy-based measure was employed for uncertainty quantification. In developing the model, Visualisation Toolkit (VTK) was utilised. Different data derived from earlier simulation study and other maps were represented in the model. Cartographic principles were considered in the map design. A Graphical User Interface (GUI), which was developed in Tkinter, was also created to further support exploratory data analysis. The resulting model allowed visual identification of uncertain areas, as well as displaying spatial relationship between the entropy and the slope values. This geovisualisation has still to be tested to assess its effectiveness as a communication tool. However, this type of uncertainty visualisation in flood mapping is an initial step that can lead to its adoption in decision-making when presented comprehensively to its users. Thus, further improvement and development is still suggested for this kind of information presentation.

Place, publisher, year, edition, pages
IADIS Press , 2014. 206-214 p.
Keyword [en]
Flood, entropy, exploratory analysis, geovisualisation, uncertainty analysis
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:hig:diva-17659Scopus ID: 2-s2.0-84929408117ISBN: 978-989853322-7 (print)OAI: oai:DiVA.org:hig-17659DiVA: diva2:753813
Conference
8th Multi Conference on Computer Science and Information Systems (MCCSIS), Lisbon, Portugal, 15-19 July 2014
Available from: 2014-10-09 Created: 2014-10-09 Last updated: 2015-10-06Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
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  • asciidoc
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