Collaborative Web-Enabled GeoAnalytics Applied to OECD Regional Data

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5738)


Recent advances in web-enabled graphics technologies have the potential to make a dramatic impact on developing collaborative geovisual analytics (GeoAnalytics). In this paper, tools are introduced that help establish progress initiatives at international and sub-national levels aimed at measuring and collaborating, through statistical indicators, economic, social and environmental developments and to engage both statisticians and the public in such activities. Given this global dimension of such a task, the “dream” of building a repository of progress indicators, where experts and public users can use GeoAnalytics collaborative tools to compare situations for two or more countries, regions or local communities, could be accomplished. While the benefits of GeoAnalytics tools are many, it remains a challenge to adapt these dynamic visual tools to the Internet. For example, dynamic web-enabled animation that enables statisticians to explore temporal, spatial and multivariate demographics data from multiple perspectives, discover interesting relationships, share their incremental discoveries with colleagues and finally communicate selected relevant knowledge to the public. These discoveries often emerge through the diverse backgrounds and experiences of expert domains and are precious in a creative analytics reasoning process. In this context, we introduce a demonstrator “OECD eXplorer”, a customized tool for interactively analyzing, and collaborating gained insights and discoveries based on a novel story mechanism that capture, re-use and share task-related explorative events.


Collaborative web-enabled geovisualization Geovisual Analytics collaborative time animation storytelling OECD regional statistics 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Thomas, J., Cook, K.: Illuminating the Path: The Research and Development Agenda for Visual Analytics (2005)Google Scholar
  2. 2.
    MacEachren, A.M., Brewer, I., et al.: Geovisualization to mediate collaborative work: Tools to support different-place knowledge construction and decision-making. In: 20th International cartographic conference, Beijing, China (2001)Google Scholar
  3. 3.
    Jern, M.: Smart Documents for Web-Enabled Collaboration. In: Vince, J.A., Earnshaw, R.A. (eds.) Digital Content Creation. Springer, Heidelberg (2001)Google Scholar
  4. 4.
    White, D., MacEachren, A.M.: Conditioned choropleth maps and hypothesis generation. Annals of the Assoc of Am. Geographers 95(1) (2005)Google Scholar
  5. 5.
    Guo, D., Chen, J., MacEachren, A.M., Liao, K.: A visualization system for space-time and multivariate patterns. IEEE Visualization and Computer Graphics 12(6) (2006)Google Scholar
  6. 6.
    Robinson, A.: Re-Visualization: Interactive Visualization of the Progress of Visual Analysis. In: Workshop proceedings, VASDS (2006)Google Scholar
  7. 7.
    Keel, P.: Collaborative Visual Analytics: Inferring from the Spatial Organisation and Collaborative use of information. In: VAST 2006, pp. 137–144. IEEE Computer Society Press, Los Alamitos (2006)Google Scholar
  8. 8.
    Wohlfart, M., Hauser, H.: Story Telling for Presentation in Volume Visualization. In: EuroVis 2007 (2007)Google Scholar
  9. 9.
    Jern, M., Rogstadius, J., Åström, T., Ynnerman, A.: Visual Analytics presentation tools applied in HTML Documents. In: Reviewed proceedings, IV 2008, London. IEEE Computer Society, Los Alamitos (2008)Google Scholar
  10. 10.
  11. 11.
    OECD Regions at a glance: 2007 edition (2007)Google Scholar
  12. 12.
    OECD Regional database,
  13. 13.
    Johansson, S., Jern, M.: GeoAnalytics Visual Inquiry and Filtering Tools in Parallel Coordinates Plot, Seattle, ACM GIS (2007)Google Scholar
  14. 14.
    Jern, M., Johansson, S., Johansson, J., Franzén, J.: The GAV Toolkit for Multiple Linked Views. In: Reviewed proceedings, CMV 2007, Zurich, IEEE Computer Society, Los Alamitos (2007)Google Scholar
  15. 15.
    Jern, M., Franzén, J.: Integrating GeoVis and InfoVis components. In: Reviewed proceedings, IV 2007, Zurich. IEEE Computer Society, Los Alamitos (2007)Google Scholar
  16. 16.
    Andrienko, G., Andrienko, N.: Visual exploration of the spatial distribution of temporal behaviors. In: Proceedings of the International Conference on Information Visualisation, pp. 799–806. IEEE Computer Society, Los Alamitos (2005)Google Scholar
  17. 17.
    Andrienko, V., Andrienko, N., Voss, H.: GIS for Everyone: the CommonGIS project and beyond. In: Peterson, M. (ed.) Maps and the Internet, pp. 131–146. Elsevier Science, Amsterdam (2003)CrossRefGoogle Scholar
  18. 18.
  19. 19.
  20. 20.
    OECD Regions at a glance: 2009 edition (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  1. 1.NCVA – National Center for Visual Analytics, ITNLinkoping UniversityNorrköpingSweden

Personalised recommendations