Characterizing global features of simulation data by selected local icons

  • R.-T. Happe
  • M. Rumpf
Conference paper
Part of the Eurographics book series (EUROGRAPH)


Large data sets that represent complex physical phenomena require advanced tools that help to recognize and to study the essential features. The local behaviour of the numerical data in significant areas can provide insight in its global character. We present several types of icons, geometric objects, that symbolize selected local properties of the data, notably of flow fields and of deformation fields. Furthermore we discuss the choice of points where such icons should be placed.


Local Behaviour Unstructured Grid Seed Point Constant Motion Vortex Filament 
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/Wien 1996

Authors and Affiliations

  • R.-T. Happe
    • 1
  • M. Rumpf
    • 1
  1. 1.Institut für Angewandte MathematikUniversität FreiburgGermany

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