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Enabling automatic clutter reduction in parallel coordinate plots.

Geoffrey Ellis1, Alan Dix

  • 1Lancaster University. g.ellis@comp.lancs.ac.uk

IEEE Transactions on Visualization and Computer Graphics
|November 4, 2006
PubMed
Summary

Estimating line overlap in parallel coordinate plots is crucial for focus+context viewing. A new probabilistic method with binning offers a fast and accurate solution for automatic sampling rate adjustment.

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Area of Science:

  • Information Visualization
  • Computer Graphics

Background:

  • Random sampling is an effective clutter reduction technique for data visualization.
  • Sampling lenses enable focus+context viewing, but require efficient occlusion estimation for dynamic adjustment.

Purpose of the Study:

  • To propose and evaluate methods for measuring line occlusion in parallel coordinate plots.
  • To identify an efficient and accurate technique for automatic sampling rate adjustment.

Main Methods:

  • Development of several occlusion measurement techniques for parallel coordinate plots.
  • Empirical study comparing accuracy and efficiency of proposed methods.
  • Utilizing a probabilistic approach combined with a 'binning' technique.

Main Results:

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  • The probabilistic approach with binning demonstrated high speed.
  • This method achieved accuracy comparable to more computationally expensive techniques.
  • The proposed methods effectively estimate line overlap for sampling lens adjustment.

Conclusions:

  • A probabilistic occlusion measurement method with binning is efficient and accurate for parallel coordinate plots.
  • This technique facilitates automatic sampling rate adjustment in focus+context visualization.
  • The findings contribute to improved clutter reduction in large-scale data visualization.