Visualization of Multi-Variate Scientific Data

Raphael Fuchs, Helwig Hauser

ARTICLE, Computer Graphics Forum, 2009

• www

Abstract

In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multi-variate data. 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 with the aim for a better overview of related approaches. Based on this classification we highlight combinable and hybrid approaches and focus on techniques that potentially lead towards new directions in visualization research. 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

Computer Graphics Forum

• Volume: 28
• Number: 6
• Pages: 1670–1690
• URL: http://dx.doi.org/10.1111/j.1467-8659.2009.01429.x

Media

BibTeX

@article{fuchs09star,
  title = {Visualization of Multi-Variate Scientific Data},
  author = {Raphael Fuchs and Helwig Hauser},
  journal = {Computer Graphics Forum},
  volume = {28},
  number = {6},
  pages = {1670--1690},
  year = {2009},
  abstract = {In this state-of-the-art report we discuss relevant research works
related to the visualization of complex, multi-variate data. 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 with the aim for a better overview of related approaches. Based 
on this classification we highlight combinable and hybrid approaches and 
focus on techniques that potentially lead towards new directions in 
visualization research. 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.},

  URL = {http://dx.doi.org/10.1111/j.1467-8659.2009.01429.x}
}