Document Detail


Flow radar glyphs--static visualization of unsteady flow with uncertainty.
MedLine Citation:
PMID:  22034312     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
A new type of glyph is introduced to visualize unsteady flow with static images, allowing easier analysis of time-dependent phenomena compared to animated visualization. Adopting the visual metaphor of radar displays, this glyph represents flow directions by angles and time by radius in spherical coordinates. Dense seeding of flow radar glyphs on the flow domain naturally lends itself to multi-scale visualization: zoomed-out views show aggregated overviews, zooming-in enables detailed analysis of spatial and temporal characteristics. Uncertainty visualization is supported by extending the glyph to display possible ranges of flow directions. The paper focuses on 2D flow, but includes a discussion of 3D flow as well. Examples from CFD and the field of stochastic hydrogeology show that it is easy to discriminate regions of different spatiotemporal flow behavior and regions of different uncertainty variations in space and time. The examples also demonstrate that parameter studies can be analyzed because the glyph design facilitates comparative visualization. Finally, different variants of interactive GPU-accelerated implementations are discussed.
Authors:
Marcel Hlawatsch; Philipp Leube; Wolfgang Nowak; Daniel Weiskopf
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on visualization and computer graphics     Volume:  17     ISSN:  1941-0506     ISO Abbreviation:  IEEE Trans Vis Comput Graph     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-10-28     Completed Date:  2012-02-24     Revised Date:  2012-04-24    
Medline Journal Info:
Nlm Unique ID:  9891704     Medline TA:  IEEE Trans Vis Comput Graph     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1949-58     Citation Subset:  -    
Copyright Information:
© 2011 IEEE
Affiliation:
Visualization Research Center, University of Stuttgart, Germany. hlawatsch@visus.uni-stuttgart.de
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