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    Cartographic Treemaps for Visualization of Public Healthcare Data

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    Date
    2017
    Author
    Tong, Chao
    Roberts, Richard
    Laramee, Robert S.
    Berridge, Damon
    Thayer, Daniel
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    Abstract
    The National healthcare Service (NHS) in the UK collects a massive amount of high-dimensional, region-centric data concerning individual healthcare units throughout Great Britain. It is challenging to visually couple the large number of multivariate attributes about each region unit together with the geo-spatial location of the clinical practices for visual exploration, analysis, and comparison. We present a novel multivariate visualization we call a cartographic treemap that attempts to combine the space-filling advantages of treemaps for the display of hierarchical, multivariate data together with the relative geo-spatial location of NHS practices in the form of a modified cartogram. It offers both space filling and geospatial error metrics that provide the user with interactive control over the space-filling versus geographic error trade-off. The result is a visualization that offers users a more space efficient overview of the complex, multivariate healthcare data coupled with the relative geo-spatial location of each practice to enable and facilitate exploration, analysis, and comparison. We evaluate the two metrics and demonstrate the use of our approach on real, large high-dimensional NHS data and derive a number of multivariate observations based on healthcare in the UK as a result. We report the reaction of our software from two domain experts in health science.
    BibTeX
    @inproceedings {10.2312:cgvc.20171276,
    booktitle = {Computer Graphics and Visual Computing (CGVC)},
    editor = {Tao Ruan Wan and Franck Vidal},
    title = {{Cartographic Treemaps for Visualization of Public Healthcare Data}},
    author = {Tong, Chao and Roberts, Richard and Laramee, Robert S. and Berridge, Damon and Thayer, Daniel},
    year = {2017},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-050-5},
    DOI = {10.2312/cgvc.20171276}
    }
    URI
    http://dx.doi.org/10.2312/cgvc.20171276
    https://diglib.eg.org:443/handle/10.2312/cgvc20171276
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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