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Scientific Visualization - Methods and Applications -

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Informatics

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2000))

Abstract

Scientific Visualization is currently a very active and vital area of research, teaching and development. The success of Scientific Visualization is mainly due to the soundness of the basic premise behind it, that is, the basic idea of using computer-generated pictures to gain information and understanding from data (geometry) and relationships (topology). This is an extremely intiutive and very important concept which is having a profound and wide spread impact on the methodology of science and engineering. In this survey we are concentrating on three main research areas in Scientific Visualization - Intelligent Visualization Systems - Visualization of Vector- and Tensorfields - Augmented Reality Simulation

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Author information

Authors and Affiliations

  1. University of Kaiserslautern, Germany

    Hans Hagen, Achim Ebert, Rolf Hendrik van Lengen & Gerik Scheuermann

Authors
  1. Hans Hagen
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  2. Achim Ebert
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  3. Rolf Hendrik van Lengen
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  4. Gerik Scheuermann
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Editor information

Editors and Affiliations

  1. FR Informatik, Universität des Saarlandes, Postfach 15 11 50, 66041, Saarbrücken, Germany

    Reinhard Wilhelm

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© 2001 Springer-Verlag Berlin Heidelberg

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Hagen, H., Ebert, A., van Lengen, R.H., Scheuermann, G. (2001). Scientific Visualization - Methods and Applications -. In: Wilhelm, R. (eds) Informatics. Lecture Notes in Computer Science, vol 2000. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44577-3_22

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  • DOI: https://doi.org/10.1007/3-540-44577-3_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41635-7

  • Online ISBN: 978-3-540-44577-7

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