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    SurfRiver transforms 3D stream surfaces into a 2D river view for easier comparison. This visual approach aids in tracking flow and analyzing multiple surfaces effectively.

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    Area of Science:

    • Computer Graphics
    • Scientific Visualization
    • Data Analysis

    Background:

    • Analyzing complex 3D stream surfaces is challenging for comparative visualization.
    • Existing methods lack efficient ways to untangle and align multiple surfaces for study.

    Purpose of the Study:

    • To introduce SurfRiver, a novel visual transformation technique for flattening 3D stream surfaces into a 2D river view.
    • To enable intuitive comparative analysis and exploration of stream surfaces.

    Main Methods:

    • SurfRiver employs a TextFlow-like visual metaphor to map 3D stream surfaces to a 2D river layout.
    • It untangles surfaces along the flow direction and stacks them vertically for alignment.
    • Brushing and linking connect the 2D river view with the 3D spatial surface view.

    Main Results:

    • The SurfRiver approach facilitates tracking along flow directions and aligning multiple stream surfaces.
    • It supports the examination of single surfaces, seeding sensitivity, and collections of surfaces.
    • Demonstrated efficacy across different flow fields.

    Conclusions:

    • SurfRiver offers a promising new method for comparative visualization of stream surfaces.
    • The technique enhances user understanding and facilitates collective reasoning in scientific data analysis.