liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Geovisual Analytics and Storytelling Applied to a Flood Scenario
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (GeoVisualization)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (GeoVisualization)
2013 (English)In: GeoViz: Interactive Maps that Help People Think, 2013Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

The paper considers how the integration between visualization and storytelling can make statistical findings more comprehensible and accessible to the general public. Traditional practices for geovisual analytics methods applied to official statistics require tools for greater user participation and an improved user experience. The approach set out in this paper allows the analyst (the author) to communicate with interested readers through visual discoveries captured in snapshots with descriptive text. The paper introduces HTML5 based geovisual analytics tools that facilitate storytelling aimed at producing statistical news content in support of an automatic authoring process. The author simply presses a button to publish the knowledge gained from a visual interactive discovery process within an interactive web context that could more engagingly draw the user into reflections and sometimes change a perspective altogether.

Place, publisher, year, edition, pages
2013.
Keyword [en]
Geovisual analytics, storytelling, web-enabled, interactive visualizations, multiple-linked views, flood data
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-91458OAI: oai:DiVA.org:liu-91458DiVA: diva2:617994
Conference
GeoViz: Interactive Maps that Help People Think. 6-8 March 2013, Hamburg, Germany
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-05-03Bibliographically approved
In thesis
1. Architecture and Applications of a Geovisual Analytics Framework
Open this publication in new window or tab >>Architecture and Applications of a Geovisual Analytics Framework
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The large and ever-increasing amounts of multi-dimensional, multivariate, multi-source, spatio-temporal data represent a major challenge for the future. The need to analyse and make decisions based on these data streams, often in time-critical situations, demands integrated, automatic and sophisticated interactive tools that aid the user to manage, process, visualize and interact with large data spaces. The rise of `Web 2.0', which is undisputedly linked with developments such as blogs, wikis and social networking, and the internet usage explosion in the last decade represent another challenge for adapting these tools to the Internet to reach a broader user community. In this context, the research presented in this thesis introduces an effective web-enabled geovisual analytics framework implemented, applied and verified in Adobe Flash ActionScript and HTML5/JavaScript. It has been developed based on the principles behind Visual Analytics and designed to significantly reduce the time and effort needed to develop customized web-enabled applications for geovisual analytics tasks and to bring the benefits of visual analytics to the public. The framework has been developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. The importance of multiple coordinated and linked views is emphasized and a number of effective techniques for linking views are introduced.

Research has so far focused more on tools that explore and present data while tools that support capturing and sharing gained insight have not received the same attention. Therefore, this is one of the focuses of the research presented in this thesis. A snapshot technique is introduced, which supports capturing discoveries made during the exploratory data analysis process and can be used for sharing gained knowledge.

The thesis also presents a number of applications developed to verify the usability and the overall performance of the framework for the visualization, exploration and analysis of data in different domains. Four application scenarios are presented introducing (1) the synergies among information visualization methods, geovisualization methods and volume data visualization methods for the exploration and correlation of spatio-temporal ocean data, (2) effective techniques for the visualization, exploration and analysis of self-organizing network data, (3) effective flow visualization techniques applied to the analysis of time-varying spatial interaction data such as migration data, commuting data and trade flow data, and (4) effective techniques for the visualization, exploration and analysis of flood data.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2013. 78 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1511
Keyword
GeoVisual Analytics, toolkits, frameworks, web-enabled, visualization, interactive visualizations, interaction, interaction techniques, visual data analysis, component architecture, storytelling
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-91679 (URN)978-91-7519-643-5 (ISBN)
Public defence
2013-05-29, Domteatern, Visualiseringscenter C, Kungsgatan 54, Norrköping, 10:01 (English)
Opponent
Supervisors
Available from: 2013-04-29 Created: 2013-04-29 Last updated: 2013-04-30Bibliographically approved

Open Access in DiVA

No full text

Authority records BETA

Ho, QuanJern, Mikael

Search in DiVA

By author/editor
Ho, QuanJern, Mikael
By organisation
Media and Information TechnologyThe Institute of Technology
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 175 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf