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A multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer

In: Automation, Communication and Cybernetics in Science and Engineering 2011/2012

Author

Listed:
  • Thomas Beer

    (RWTH Aachen University, Virtual Reality Group, Rechen- und Kommunikationszentrum)

  • Gerrit Garbereder
  • Tobias Meisen
  • Rudolf Reinhard
  • Torsten Kuhlen

Abstract

Integrative simulation methods are used in engineering sciences today for the modeling of complex phenomena that cannot be simulated or modeled using a single tool. For the analysis of result data appropriate multi dataset visualization tools are needed. The inherently strong relations between the single datasets that typically describe different aspects of a simulated process (e.g. phenomena taking place at different scales) demand for special interaction metaphors, allowing for an intuitive exploration of the simulated process. This work focuses on the temporal aspects of data exploration. A multi level time model and an appropriate interaction metaphor (the Dataset Sequencer) for the interactive arrangement of datasets in the time domain of the analysis space is described. It is usable for heterogeneous display systems ranging from standard desktop systems to immersive multi-display VR devices.

Suggested Citation

  • Thomas Beer & Gerrit Garbereder & Tobias Meisen & Rudolf Reinhard & Torsten Kuhlen, 2013. "A multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2011/2012, edition 127, pages 967-976, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-33389-7_72
    DOI: 10.1007/978-3-642-33389-7_72
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