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    Area of Science:

    • Geographic Information Systems (GIS)
    • Geospatial Data Visualization
    • Human-Computer Interaction (HCI)

    Background:

    • Contour maps are vital for terrain analysis, but user interaction's role in cognitive enhancement for geospatial data exploration remains under-investigated.
    • Existing interactive approaches lack clear guidelines regarding purpose, application, and design primitives for contour map analysis tasks.

    Purpose of the Study:

    • To investigate the impact of interactive features on analytical tasks using contour-based geospatial visualizations.
    • To quantify the benefits of user interaction for enhancing data analysis and understanding in complex spatial datasets.

    Main Methods:

    • Development of a novel contour-based interactive geospatial visualization tool.
    • Conducting a crowd-sourced user study with 62 participants to evaluate the interactive features' effectiveness.

    Main Results:

    • Interactive features were found to significantly aid users in data analysis and comprehension.
    • Benefits were observed across various aspects including spatial data extent, map layout, task complexity, and user expertise levels.

    Conclusions:

    • User interaction is crucial for improving the analytical capabilities of contour-based geospatial visualizations.
    • Findings provide guidelines for designing effective interactive features tailored to specific analytical tasks in geospatial contexts.