Dynamic Switching of Data Visualization Method for Increased Plotting Scalability

Angie Mikhail-Morozov, Mika P. Nieminen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    In information visualization every method performs best in its own range of plotting density. When the available area for the visualization is unknown or when the data is supplied in packages of various sizes, the best suited method cannot be chosen in advance, and the wrong choice leads to the problems of under- or overplotting. This note suggests a solution to dynami-cally change the visualization method based on the sample size and plotting area. The concept is illustrated with an example application for multivariate data. Sug-gested future work includes applying the solution to other data types, defining the switching boundaries and fading functions. The proposed dynamic switching of methods increases the plotting scalability of interactive data visualizations and thus can improve the usability of information-intense graphical user interfaces.
    Original languageEnglish
    Title of host publicationNordiCHI '14: Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational
    PublisherACM
    Number of pages4
    ISBN (Print)978-1-4503-2542-4
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication

    Keywords

    • Data graphics; information visualization; data visualiza-tion; view transformations; visual structures; big data; overplotting; underplotting; HCI; GUI; user interface; plotting scalability; plotting density

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