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VisTaxa: Developing a Taxonomy of Historical Visualizations.

Yu Zhang, Xinyue Chen, Weili Zheng

    IEEE Transactions on Visualization and Computer Graphics
    |May 6, 2025
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    This study introduces a new method for creating taxonomies of historical visualizations, addressing a gap in current research. The developed VisTaxa system aids in systematically analyzing and understanding historical data visualization design.

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    Area of Science:

    • Information Visualization
    • Digital Humanities
    • History of Science

    Background:

    • Historical visualizations are valuable but understudied in visualization research.
    • Existing visualization taxonomies predominantly focus on contemporary designs, neglecting historical context.
    • A systematic approach is needed to analyze the design space of historical visualizations.

    Purpose of the Study:

    • To develop an empirical method for creating taxonomies of historical visualizations.
    • To introduce a system (VisTaxa) for labeling and comparing historical visualization features.
    • To establish a foundation for systematic research into the evolution of visualization techniques.

    Main Methods:

    • An empirical method for taxonomy development was designed.
    • A coding protocol was created for analyzing historical visualization images.
    • The VisTaxa system was developed for labeling and comparison, applied to 400 historical visualization images.

    Main Results:

    • A novel taxonomy for historical visualizations was developed using the empirical method.
    • The VisTaxa system facilitated the coding and analysis of a dataset of 400 historical visualizations.
    • The study provides insights into the coding process and results for historical visualization analysis.

    Conclusions:

    • The developed empirical method and VisTaxa system offer a structured approach to studying historical visualizations.
    • This work represents a foundational step towards a comprehensive understanding of the historical visualization design space.
    • Further systematic investigation into historical visualization design is warranted.