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Multiscale Visualization: A Structured Literature Analysis.

Eren Cakmak, Dominik Jackle, Tobias Schreck

    IEEE Transactions on Visualization and Computer Graphics
    |September 3, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study categorizes multiscale visualization techniques by analyzing 122 articles. It offers a taxonomy to guide the creation of new multiscale visualization and navigation methods.

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    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Bioinformatics

    Background:

    • Multiscale visualizations are crucial for analyzing complex data, such as hierarchical genome structures in molecular biology.
    • Creating effective multiscale visualizations is challenging due to the vast existing research and ambiguity in visualization design.
    • A systematic comparison and categorization of existing multiscale visualization techniques are lacking.

    Approach:

    • A structured literature analysis systematically reviewed and categorized 122 articles on multiscale visualization published between 1995 and 2020.
    • The reviewed articles were organized into a novel taxonomy based on common design factors.
    • This taxonomy provides a framework for understanding design practices in multiscale visualization research.

    Key Points:

    • The study presents a comprehensive taxonomy of multiscale visualization design practices.
    • Identifies common design factors and categorizes existing techniques.
    • Offers a structured overview for researchers and practitioners.

    Conclusions:

    • The developed taxonomy aids in exploring existing work and creating novel multiscale visualization and navigation techniques.
    • Highlights current research trends in multiscale visualization.
    • Identifies and discusses open research challenges in the field.