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

  • Thomas Beer
  • Gerrit Garbereder
  • Tobias Meisen
  • Rudolf Reinhard
  • Torsten Kuhlen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6939)

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.

Keywords

Dataset Sequencer Multiple Dataset Single Dataset Integrative Simulation Visualization Application 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Thomas Beer
    • 1
  • Gerrit Garbereder
    • 1
  • Tobias Meisen
    • 2
  • Rudolf Reinhard
    • 2
  • Torsten Kuhlen
    • 1
  1. 1.Virtual Reality GroupInstitute for Scientific ComputingGermany
  2. 2.Information Management in Mechanical EngineeringRWTH Aachen UniversityGermany

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