Collaborative Web-Enabled GeoAnalytics Applied to OECD Regional Data

  • Mikael Jern
Conference paper

DOI: 10.1007/978-3-642-04265-2_5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5738)
Cite this paper as:
Jern M. (2009) Collaborative Web-Enabled GeoAnalytics Applied to OECD Regional Data. In: Luo Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2009. Lecture Notes in Computer Science, vol 5738. Springer, Berlin, Heidelberg


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 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

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

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