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Plotting of Topographic Maps01:29

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Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
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Related Experiment Video

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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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SkyLens: Visual Analysis of Skyline on Multi-Dimensional Data.

Xun Zhao, Yanhong Wu, Weiwei Cui

    IEEE Transactions on Visualization and Computer Graphics
    |September 4, 2017
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    Summary

    SkyLens enhances multi-criteria decision-making by visualizing skyline query results. This system helps users understand why certain data points are superior, improving choices in complex scenarios.

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    Area of Science:

    • Information Science
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Skyline queries identify superior data items across multiple criteria, aiding decision-making in diverse fields like tourism and human resources.
    • Current limitations include user difficulty in interpreting complex skyline results and understanding the reasons behind data point superiority.
    • Existing methods lack tools to address fuzzy user preferences and provide multi-dimensional superiority insights.

    Purpose of the Study:

    • To introduce SkyLens, a visual analytic system designed to reveal the superiority of skyline points from various perspectives and scales.
    • To aid users in decision-making by facilitating the interpretation and comparison of complex, multi-attribute data.
    • To address the challenges posed by inconsistent user preferences and the lack of transparency in skyline query outcomes.

    Main Methods:

    • Development of SkyLens, a novel visual analytic system for exploring skyline query results.
    • Demonstration of SkyLens's utility through two real-world scenarios utilizing datasets with numerous attributes.
    • Conducting a qualitative study to assess user efficiency in understanding and comparing skyline data using the system.

    Main Results:

    • SkyLens effectively reveals the multi-dimensional superiority of skyline points, offering different perspectives and scales for analysis.
    • The system demonstrated its usefulness in practical scenarios involving complex datasets.
    • A qualitative study confirmed that users could efficiently accomplish skyline understanding and comparison tasks with SkyLens.

    Conclusions:

    • SkyLens significantly enhances the decision-making process by providing clear insights into skyline query results.
    • The visual analytic approach addresses key challenges in interpreting multi-criteria data, particularly regarding user preferences and superiority explanations.
    • SkyLens empowers users to make more informed choices by improving their understanding and comparison of superior data items.