DocumentCode :
29364
Title :
A Graph-Based Interface for VisualAnalytics of 3D Streamlines and Pathlines
Author :
Jun Ma ; Chaoli Wang ; Ching-Kuang Shene ; Jingfeng Jiang
Author_Institution :
Dept. of Comput. Sci., Michigan Technol. Univ., Houghton, MI, USA
Volume :
20
Issue :
8
fYear :
2014
fDate :
Aug. 2014
Firstpage :
1127
Lastpage :
1140
Abstract :
Visual exploration of large and complex 3D steady and unsteady flow fields is critically important in many areas of science and engineering. In this paper, we introduce FlowGraph, a novel compound graph representation that organizes field line clusters and spatiotemporal regions hierarchically for occlusion-free and controllable visual exploration. It works with any seeding strategy as long as the domain is well covered and important flow features are captured. By transforming a flow field to a graph representation, we enable observation and exploration of the relationships among field line clusters, spatiotemporal regions and their interconnection in the transformed space. FlowGraph not only provides a visual mapping that abstracts field line clusters and spatiotemporal regions in various levels of detail, but also serves as a navigation tool that guides flow field exploration and understanding. Through brushing and linking in conjunction with the standard field line view, we demonstrate the effectiveness of FlowGraph with several visual exploration and comparison tasks that cannot be well accomplished using the field line view alone. We also perform an empirical expert evaluation to confirm the usefulness of this graph-based technique.
Keywords :
computational geometry; data visualisation; graph theory; graphical user interfaces; 3D pathlines; 3D streamlines; FlowGraph; compound graph representation; empirical expert evaluation; field line cluster organization; graph-based interface; hierarchical field line cluster organization; hierarchical spatiotemporal regions; large-complex 3D steady flow field; large-complex 3D unsteady flow field; navigation tool; seeding strategy; spatiotemporal regions; visual analytics; visual exploration; visual mapping; Context; Data visualization; Layout; Spatiotemporal phenomena; Three-dimensional displays; Vectors; Visualization; Flow visualization; graph representation; pathlines; streamlines; visual analytics; visual interface;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2013.236
Filename :
6613495
Link To Document :
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