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Volume: 64 | Article ID: jist0752
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Uncertainty Rank for Streamline Ensembles
  DOI :  10.2352/J.ImagingSci.Technol.2020.64.2.020504  Published OnlineMarch 2020
Abstract
Abstract

Traditional spaghetti plots from ensemble data provide no explicit information as to the uncertainty of the realization flow paths. While intuitive assessment can be used when visualizing streamline density directly in such a plot, the display is often cluttered and difficult to interpret. The authors present a method to measure uncertainty and visualize member streamlines from an ensemble of vector fields. The method incorporates velocity probability density as a feature along each member streamline. The authors show visualizations of two different data sets using the proposed method.

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Brad E. Hollister, Alex Pang, "Uncertainty Rank for Streamline Ensemblesin Journal of Imaging Science and Technology,  2020,  pp 020504-1 - 020504-5,  https://doi.org/10.2352/J.ImagingSci.Technol.2020.64.2.020504

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Copyright © Society for Imaging Science and Technology 2020
  Article timeline 
  • received July 2019
  • accepted October 2019
  • PublishedMarch 2020

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