, Volume 18, Issue 7, pp 615–629 | Cite as

Scientific visualization: From data to insight

  • Vijay NatarajanEmail author
General / Article


Scientific visualization refers to the study and design of visual representation of data that arises in science and engineering disciplines. The aim of the visualization is the identification of patterns leading to a better understanding of the underlying phenomena. This article will briefly introduce this topic by first providing the motivation in the form of applications, next describing a couple of well-studied visualization methods and algorithms, outlining some of the current research challenges in this area, and finally presenting a summary of related ongoing research work IISc Bangalore.


Scientific data visualization scalar fields vector fields 


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Suggested reading

  1. [1]
    M O Ward, G Grinstein and D Keim, Interactive Data Visualization: Foundations, Techniques, and Applications, CRC Press, 2010.Google Scholar
  2. [2]
    C Ware, Information Visualization: Perception for Design, Morgan Kaufmann, 2004.Google Scholar
  3. [3]
    G M Nielson and B Hamann, The asymptotic decider: resolving the ambiguity inmarching cubes, Proc. IEEE Conf. Visualization, pp. 83–91, 1991.CrossRefGoogle Scholar
  4. [4]
    C D Hansen and C R Johnson, Visualization Handbook. Academic Press, 2004.Google Scholar
  5. [5]
    C R Johnson, Top Scientific Visualization Research Problems, IEEE Computer Graphics and Applications, Vol.24,No.4, pp.13–17, 2004.CrossRefGoogle Scholar
  6. [6]
    C R Johnson, R Moorhead, T Munzner, H Pfister, P Rheingans, and T S Yoo, NIH/NSF Visualization Research Challenges Report, IEEE Computer Society Press, 2006.Google Scholar
  7. [7]
    Y Matsumoto, An Introduction to Morse Theory, Translated from Japanese by K Hudson and M Saito, Amer.Math.Soc., 2002.Google Scholar
  8. [8]
    H Doraiswamy and V Natarajan, Computing Reeb graphs as a union of contour trees. IEEE Transactions on Visualization and Computer Graphics, 2012, PrePrints. Several general purpose visualization tools have been developed by researchers and are made available for free [9,10,11,12,13].Google Scholar
  9. [9]
  10. [10]
    W Schroeder, K Martin, and Bill Lorensen, The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, Kitware Inc. Publishers, 2004.Google Scholar
  11. [11]
  12. [12]
    VisIt Visualization Tool.
  13. [13]
    VTK — The Visualization Toolkit.

Copyright information

© Indian Academy of Sciences 2013

Authors and Affiliations

  1. 1.Department of Computer Science and Automation Supercomputer Education and Research CentreIndian Institute of ScienceBangaloreIndia

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