Supporting display scalability by redundant mapping

  • Authors:
  • Axel Radloff;Martin Luboschik;Mike Sips;Heidrun Schumann

  • Affiliations:
  • Institute for Computer Science, University of Rostock, Germany;Institute for Computer Science, University of Rostock, Germany;Geoinformatics, German Research Center for GeoSciences, Potsdam, Germany;Institute for Computer Science, University of Rostock, Germany

  • Venue:
  • ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
  • Year:
  • 2011

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Abstract

Visual analysis sessions are increasingly conducted in multidisplay environments. However, presenting a data set simultaneously on heterogenous displays to users is a challenging task. In this paper we propose a two-step mapping strategy to address this problem. The first mapping step applies primary mapping functions to generate the same basic layout for all output devices and adapts the object size based on the display characteristic to guarantee the visibility of all elements. The second mapping step introduces additional visual cues to enhance the effectiveness of the visual encoding for different output devices. To demonstrate the Two-Step-Mapping we apply this concept to scatter plots presenting cluster data.