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Contiguous Animated Edge-Based Cartograms for Traffic Visualization.

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    Area of Science:

    • Computer Science
    • Geographic Information Science
    • Data Visualization

    Background:

    • Traditional cartograms often lack dynamic representation of real-time data.
    • Visualizing complex urban traffic patterns requires innovative approaches.

    Purpose of the Study:

    • To develop an experimental model for animating contiguous cartograms by dynamically distorting edge lengths.
    • To visualize real-time traffic velocities in urban environments using a novel cartographic approach.

    Main Methods:

    • An experimental model was developed to animate contiguous computer cartograms.
    • The model distorts the topological lengths of cartogram edges based on input data.
    • Traffic data from Lisbon was used to distort a road map, representing traffic velocities.

    Main Results:

    • The model successfully depicts traffic velocities by distending areas with low speeds and compressing areas with high speeds.
    • Applied to vehicle trajectory data, it generated a traffic velocity temperature map.
    • A figurative visualization portrayed Lisbon as pulsing blood vessels, illustrating traffic flow dynamics.

    Conclusions:

    • The proposed model efficiently generates and animates edge-based cartograms.
    • It achieves this with low representation errors, offering a new method for dynamic geographic data visualization.