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Space-filling Techniques in Visualizing Output from Computer Based Economic Models

Listed author(s):
  • Ric D Herbert


    (Faculty of Science and I.T. University of Newcastle, Australia)

  • Richard Webber

    (National ICT Australia Limited, Australia)

  • Wei Jiang

    (University of Newcastle, Australia)

Registered author(s):

    One important factor concerning economic models is that frequently large amounts of data are produced. There is the research issue of how end-users (who may not be researchers or model developers) can be presented with this data so that maximum benefits can be attained from the data production. The usual approach with economic models is a series of tables or data series plots. In this paper we use space-filling information visualization techniques as an aid to user’s understanding of data from an economic model. Based upon evaluation of the effectiveness of existing treemap and sunburst techniques through user experimentation, we introduce two new space-filling visualization techniques. We also describe fisheye-lens techniques applicable to these new visualizations.

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    Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 67.

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    Date of creation: 04 Jul 2006
    Handle: RePEc:sce:scecfa:67
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    1. Challet, D. & Zhang, Y.-C., 1997. "Emergence of cooperation and organization in an evolutionary game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 407-418.
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