Path Line Attributes -- an Information Visualization Approach to Analyzing the Dynamic Behavior of 3D Time-Dependent Flow Fields

Kuangyu Shi, Holger Theisel, Helwig Hauser, Tino Weinkauf, Kresimir Matkovic, Hans-Christian Hege, Hans-Peter Seidel

INPROCEEDINGS, Topology-Based Methods in Visualization II, 2009

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Abstract

We describe an approach to visually analyzing the dynamic behavior of 3D time-dependent flow fields by considering the behavior of the path lines. At selected positions in the 4D space-time domain, we compute a number of local and global properties of path lines describing relevant features of them. The resulting multivariate data set is analyzed by applying state-of-the-art information visualization approaches in the sense of a set of linked views (scatter plots, parallel coordinates, etc.) with interactive brushing and focus+context visualization. The selected path lines with certain properties are integrated and visualized as colored 3D curves. This approach allows an interactive exploration of intricate 4D flow structures. We apply our method to a number of flow data sets and describe how path line attributes are used for describing characteristic features of these flows.

Published

Topology-Based Methods in Visualization II

• Pages: 75–88
• URL: http://dx.doi.org/10.1007/978-3-540-88606-8_6

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BibTeX

@inproceedings{shi09path,
author = {Kuangyu Shi and Holger Theisel and Helwig Hauser and Tino Weinkauf and 
	Kresimir Matkovic and Hans-Christian Hege and Hans-Peter Seidel},
title = {Path Line Attributes -- an Information Visualization Approach to Analyzing 
	the Dynamic Behavior of 3D Time-Dependent Flow Fields},
booktitle = {Topology-Based Methods in Visualization II},
abstract = {We describe an approach to visually analyzing the dynamic behavior of 3D 
time-dependent flow fields by considering the behavior of the path lines. At selected
positions in the 4D space-time domain, we compute a number of local and global 
properties of path lines describing relevant features of them. The resulting 
multivariate data set is analyzed by applying state-of-the-art information 
visualization approaches in the sense of a set of linked views (scatter plots, 
parallel coordinates, etc.) with interactive brushing and focus+context visualization. 
The selected path lines with certain properties are integrated and visualized as 
colored 3D curves. This approach allows an interactive exploration of intricate 4D 
flow structures. We apply our method to a number of flow data sets and describe how 
path line attributes are used for describing characteristic features of these flows.},
pages = {75--88},
year = {2009},


URL = {http://dx.doi.org/10.1007/978-3-540-88606-8_6}
}