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    This summary is machine-generated.

    We developed Bubble Treemaps, a novel circular visualization for hierarchical data. This method effectively displays data and uncertainty without relying on color, enhancing visual design options.

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    Area of Science:

    • Information Visualization
    • Data Science
    • Computer Graphics

    Background:

    • Treemaps are effective for visualizing hierarchical data.
    • Existing treemaps often lack space for additional visual variables, limiting the display of complex information.
    • Visualizing uncertainty alongside hierarchical data presents a significant challenge.

    Purpose of the Study:

    • To introduce a novel circular treemap design, termed Bubble Treemaps, capable of encoding additional visual variables.
    • To develop a method for visualizing hierarchical data and its associated uncertainties within a single diagram.
    • To explore the application of Bubble Treemaps for uncertainty visualization.

    Main Methods:

    • Developed a hierarchical and force-based circle-packing algorithm to generate Bubble Treemaps.
    • Nodes are visualized using nested contour arcs, allowing for additional visual encoding.
    • Explored uncertainty visualization using standard error and Monte Carlo-based statistical models.

    Main Results:

    • Bubble Treemaps effectively integrate hierarchical data and uncertainty visualization.
    • The design does not require color or shading, offering flexibility in visual representation.
    • Demonstrated effectiveness through case studies including software package structures, financial indices, and survey data.

    Conclusions:

    • Bubble Treemaps offer a novel and effective approach to visualizing complex hierarchical data with uncertainty.
    • The design's flexibility, particularly its independence from color, provides new avenues for information visualization.
    • The method shows promise for applications in diverse fields requiring the representation of structured data and associated uncertainties.