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Visualizing changes of hierarchical data using treemaps.

Ying Tu1, Han-Wei Shen

  • 1Computer Science and Engineering Department, Ohio State, USA. tu@cse.ohio-state.edu

IEEE Transactions on Visualization and Computer Graphics
|October 31, 2007
PubMed
Summary
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This study introduces new treemap visualization strategies to effectively show changes in hierarchical data over time. The methods improve stability, continuity, and readability, aiding users in understanding data evolution.

Area of Science:

  • Computer Science
  • Information Visualization

Background:

  • Treemaps are common for hierarchical data visualization but struggle with temporal changes.
  • Comparing evolving treemaps is challenging due to layout shifts and lack of clear contrast.

Purpose of the Study:

  • To develop strategies for visualizing changes in hierarchical data using treemaps.
  • To address limitations in comparing temporal treemap visualizations.

Main Methods:

  • A novel treemap layout algorithm to minimize abrupt changes and ensure consistent patterns.
  • Techniques to visualize differences in item color, size, and position between treemap snapshots.

Main Results:

  • The proposed algorithm balances treemap stability, continuity, readability, and aspect ratio.

Related Experiment Videos

  • A software tool was developed for comparing treemaps and generating visualizations.

    • Conclusions:

    • The new methods enhance user comprehension of hierarchical and layout changes.
    • Users can more rapidly identify color and size differences in evolving treemaps.