Streamline Variability Plots for Characterizing the Uncertainty in Vector Field Ensembles

@article{Ferstl2016StreamlineVP,
  title={Streamline Variability Plots for Characterizing the Uncertainty in Vector Field Ensembles},
  author={Florian Ferstl and Kai B{\"u}rger and R{\"u}diger Westermann},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2016},
  volume={22},
  pages={767-776}
}
We present a new method to visualize from an ensemble of flow fields the statistical properties of streamlines passing through a selected location. We use principal component analysis to transform the set of streamlines into a low-dimensional Euclidean space. In this space the streamlines are clustered into major trends, and each cluster is in turn approximated by a multivariate Gaussian distribution. This yields a probabilistic mixture model for the streamline distribution, from which… CONTINUE READING
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