Literature DB >> 22034312

Flow radar glyphs--static visualization of unsteady flow with uncertainty.

Marcel Hlawatsch1, Philipp Leube, Wolfgang Nowak, Daniel Weiskopf.   

Abstract

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.
© 2011 IEEE

Entities:  

Year:  2011        PMID: 22034312     DOI: 10.1109/TVCG.2011.203

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  4 in total

1.  From Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches.

Authors:  Kristin Potter; Paul Rosen; Chris R Johnson
Journal:  IFIP Adv Inf Commun Technol       Date:  2012

2.  Probabilistic Asymptotic Decider for Topological Ambiguity Resolution in Level-Set Extraction for Uncertain 2D Data.

Authors:  Tushar Athawale; Chris R Johnson
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-08-20       Impact factor: 4.579

3.  Validation of SplitVectors Encoding for Quantitative Visualization of Large-Magnitude-Range Vector Fields.

Authors:  Garnett W Bryant; Wesley Griffin; Judith E Terrill
Journal:  IEEE Trans Vis Comput Graph       Date:  2016-03-09       Impact factor: 4.579

4.  EPIsembleVis: A geo-visual analysis and comparison of the prediction ensembles of multiple COVID-19 models.

Authors:  Haowen Xu; Andy Berres; Gautam Thakur; Jibonananda Sanyal; Supriya Chinthavali
Journal:  J Biomed Inform       Date:  2021-11-01       Impact factor: 6.317

  4 in total

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