Visualization of Multi-Variate Scientific Data
Abstract
In this state-of-the-art report we discuss relevant research worksrelated 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.
R. Fuchs and H. Hauser, "Visualization of Multi-Variate Scientific Data," Computer Graphics Forum, vol. 28, iss. 6, p. 1670–1690, 2009.
[BibTeX]
In this state-of-the-art report we discuss relevant research worksrelated 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.
@ARTICLE {fuchs09star,
author = "Raphael Fuchs and Helwig Hauser",
title = "Visualization of Multi-Variate Scientific Data",
journal = "Computer Graphics Forum",
year = "2009",
volume = "28",
number = "6",
pages = "1670--1690",
abstract = "In this state-of-the-art report we discuss relevant research worksrelated 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.",
images = "images/buerger07star1.png, images/buerger07star2.png",
thumbnails = "images/buerger07star1_thumb.png, images/buerger07star2_thumb.png",
url = "//dx.doi.org/10.1111/j.1467-8659.2009.01429.x"
}