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Visualization of Multi-variate Scientific Data

Raphael Bürger, Helwig Hauser

INPROCEEDINGS, EuroGraphics 2007 State of the Art Reports (STARs), 2007

Abstract

In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multi-variate data. We focus on ''non-classical'' approaches, i.e. approaches which haven't been discussed in previous related reports, and we highlight techniques which potentially lead towards new directions in visualization research. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vectors, and tensors. We also provide a categorization of these techniques in the aim for a better overview of related approaches. In the second part of this paper we take a look at recent techniques that are useful for the visualization of complex data sets either because they are general purpose or because they can be adapted to specific problems.

Published

EuroGraphics 2007 State of the Art Reports (STARs)

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BibTeX

@inproceedings{buerger2007star,
  title =      "Visualization of Multi-variate Scientific Data",
  author =     "Raphael B{\"u}rger and Helwig Hauser",
  year =       "2007",
  abstract =   "In this state-of-the-art report we discuss relevant research
               works related to the visualization of complex, multi-variate
               data. We focus on ''non-classical'' approaches, i.e.
               approaches which haven't been discussed in previous related
               reports, and we highlight techniques which potentially lead
               towards new directions in visualization research. We discuss
               how different techniques take effect at specific stages of
               the visualization pipeline and how they apply to
               multi-variate data sets being composed of scalars, vectors,
               and tensors. We  also provide a categorization of these
               techniques in the aim for a better  overview of related
               approaches. In the second part of this paper we take a  look
               at recent techniques that are useful for the visualization
               of complex data  sets either because they are general
               purpose or because they can be adapted to specific 
               problems.",
  pages =      "117--134",
  booktitle =  "EuroGraphics 2007 State of the Art Reports (STARs)",
  isbn =       "1017-4656",
  keywords =   "scientific data, multi-variate data",
  event 	= {EuroGraphics 2007},  
  location	= {Prague, Czech Republic}
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/",

}






 Last Modified: Jean-Paul Balabanian, 2013-05-29