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    Time-oriented Cartographic Treemaps for Visualization of Public Healthcare Data

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    Date
    2017
    Author
    Tong, Chao
    McNabb, Liam
    Laramee, Robert S.
    Lyons, Jane
    Walters, Angharad
    Berridge, Damon
    Thayer, Daniel
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    Abstract
    Cartographic treemaps offer a way to explore and present hierarchical multi-variate data that combines the space-efficient advantages of treemaps for the display of hierarchical data together with relative geo-spatial location from maps in the form of a modified cartogram. They offer users a space-efficient overview of the complex, multi-variate data coupled with the relative geo-spatial location to enable and facilitate exploration, analysis, and comparison. In this paper, we introduce time as an additional variate, in order to develop time-oriented cartographic treemaps. We design, implement and compare a range of visual layout options highlighting advantages and disadvantage of each. We apply the method to the study of UK-centric electronic health records data as a case study. We use the results to explore the trends of a range of health diagnoses in each UK healthcare region over multiple years exploiting both static and animated visual designs. We provide several examples and user options to evaluate the performance in exploration, analysis, and comparison. We also report the reaction of domain experts from health science.
    BibTeX
    @inproceedings {10.2312:cgvc.20171273,
    booktitle = {Computer Graphics and Visual Computing (CGVC)},
    editor = {Tao Ruan Wan and Franck Vidal},
    title = {{Time-oriented Cartographic Treemaps for Visualization of Public Healthcare Data}},
    author = {Tong, Chao and McNabb, Liam and Laramee, Robert S. and Lyons, Jane and Walters, Angharad and Berridge, Damon and Thayer, Daniel},
    year = {2017},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-050-5},
    DOI = {10.2312/cgvc.20171273}
    }
    URI
    http://dx.doi.org/10.2312/cgvc.20171273
    https://diglib.eg.org:443/handle/10.2312/cgvc20171273
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA