Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

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.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Quality of Digital Health Interventions Across Different Health Care Domains: Secondary Data Analysis Study.

JMIR mHealth and uHealth·2023
Same author

System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis.

JMIR mHealth and uHealth·2022
Same author

Space, time and memory: tales from a long road.

Cognitive processing·2018
Same author

The Role of Uncertainty, Awareness, and Trust in Visual Analytics.

IEEE transactions on visualization and computer graphics·2015
Same author

Knowledge Generation Model for Visual Analytics.

IEEE transactions on visualization and computer graphics·2015
Same author

A taxonomy of clutter reduction for information visualisation.

IEEE transactions on visualization and computer graphics·2007

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:

Related Experiment Videos

  • 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.