Springview: Cooperation of radviz and parallel coordinates for view optimization and clutter reduction

Enrico Bertini, Luigi Dell'Aquila, Giuseppe Santucci

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper we integrate radviz and parallel coordinates, two methods able to handle multidimensional datasets, exploiting their contrasting characteristics. From on side radviz offers good direct data manipulation (i.e., brushing) techniques and low cluttering but it fails in providing visualization of quantitative information; conversely, parallel coordinates clearly shows the values of data attributes and their ranges but suffers from high cluttering also on small datasets and presents tedious manipulation techniques. We developed a prototype, called SpringView, that allows for simultaneously viewing both radviz and parallel coordinates and implements several useful techniques to manipulate the data, both interactively and, more interestingly, automatically. We challenged our approach against two well know multidimensional datasets, proving its effectiveness.

    Original languageEnglish (US)
    Title of host publicationProceedings - Third International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005
    Pages22-29
    Number of pages8
    DOIs
    StatePublished - 2005
    Event3rd International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005 - London, United Kingdom
    Duration: Jul 5 2005Jul 5 2005

    Publication series

    NameProceedings - Third International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005
    Volume2005

    Other

    Other3rd International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005
    CountryUnited Kingdom
    CityLondon
    Period7/5/057/5/05

    ASJC Scopus subject areas

    • Engineering(all)

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