Many-to-many geographically-embedded flow visualisation: An evaluation

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps [37] with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.
    Original languageEnglish
    Article number7539669
    Pages (from-to)411-420
    Number of pages10
    JournalIEEE Transactions on Visualization and Computer Graphics
    Volume23
    Issue number1
    DOIs
    Publication statusPublished - Jan 2017

    Keywords

    • Flow maps
    • Matrix visualisation
    • Cartographic information visualisation

    Cite this

    @article{00a66300c9394d74be5f48f71df64f1f,
    title = "Many-to-many geographically-embedded flow visualisation: An evaluation",
    abstract = "Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps [37] with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.",
    keywords = "Flow maps, Matrix visualisation, Cartographic information visualisation",
    author = "Yalong Yang and Dwyer, {Timothy Garry} and Sarah Goodwin and Kim Marriott",
    year = "2017",
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    doi = "10.1109/TVCG.2016.2598885",
    language = "English",
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    pages = "411--420",
    journal = "IEEE Transactions on Visualization and Computer Graphics",
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    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
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    }

    Many-to-many geographically-embedded flow visualisation : An evaluation. / Yang, Yalong; Dwyer, Timothy Garry; Goodwin, Sarah; Marriott, Kim.

    In: IEEE Transactions on Visualization and Computer Graphics, Vol. 23, No. 1, 7539669, 01.2017, p. 411-420.

    Research output: Contribution to journalArticleResearchpeer-review

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    T1 - Many-to-many geographically-embedded flow visualisation

    T2 - An evaluation

    AU - Yang, Yalong

    AU - Dwyer, Timothy Garry

    AU - Goodwin, Sarah

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    N2 - Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps [37] with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.

    AB - Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps [37] with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.

    KW - Flow maps

    KW - Matrix visualisation

    KW - Cartographic information visualisation

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