• DocumentCode
    59973
  • Title

    Drawing Area-Proportional Euler Diagrams Representing Up To Three Sets

  • Author

    Rodgers, Peter ; Stapleton, Gem ; Flower, Jean ; Howse, John

  • Author_Institution
    Sch. of Comput., Univ. of Kent, Canterbury, UK
  • Volume
    20
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Area-proportional Euler diagrams representing three sets are commonly used to visualize the results of medical experiments, business data, and information from other applications where statistical results are best shown using interlinking curves. Currently, there is no tool that will reliably visualize exact area-proportional diagrams for up to three sets. Limited success, in terms of diagram accuracy, has been achieved for a small number of cases, such as Venn-2 and Venn-3 where all intersections between the sets must be represented. Euler diagrams do not have to include all intersections and so permit the visualization of cases where some intersections have a zero value. This paper describes a general, implemented, method for visualizing all 40 Euler-3 diagrams in an area-proportional manner. We provide techniques for generating the curves with circles and convex polygons, analyze the drawability of data with these shapes, and give a mechanism for deciding whether such data can be drawn with circles. For the cases where non-convex curves are necessary, our method draws an appropriate diagram using non-convex polygons. Thus, we are now always able to automatically visualize data for up to three sets.
  • Keywords
    data visualisation; diagrams; statistical analysis; area-proportional Euler diagrams; convex polygons; data visualization; statistical results; Abstracts; Accuracy; Business; Concurrent computing; Data visualization; Decision support systems; Reliability; Abstracts; Accuracy; Business; Concurrent computing; Data visualization; Decision support systems; Euler diagrams; Information Visualization; Reliability; Venn diagrams; Biomedical Research; Computer Graphics; Humans; Image Processing, Computer-Assisted; Models, Statistical;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2013.104
  • Filename
    6570477