Visualization of Multi-variate Scientific Data
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.
R. Bürger and H. Hauser, "Visualization of Multi-variate Scientific Data," in EuroGraphics 2007 State of the Art Reports (STARs), 2007, p. 117–134.
[BibTeX]
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.
@INPROCEEDINGS {buerger2007star,
author = "Raphael B{\"u}rger and Helwig Hauser",
title = "Visualization of Multi-variate Scientific Data",
booktitle = "EuroGraphics 2007 State of the Art Reports (STARs)",
year = "2007",
pages = "117--134",
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.",
images = "images/buerger07star1.png, images/buerger07star2.png",
thumbnails = "images/buerger07star1_thumb.png, images/buerger07star2_thumb.png",
isbn = "1017-4656",
keywords = "scientific data, multi-variate data",
event = "EuroGraphics 2007",
location = "Prague, Czech Republic",
url = "//www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/"
}