• DocumentCode
    1442708
  • Title

    Hi-Trees and Their Layout

  • Author

    Marriott, Kim ; Sbarski, Peter ; Van Gelder, Tim ; Prager, Daniel ; Bulka, Andy

  • Author_Institution
    Clayton Sch. of IT, Monash Univ., Clayton, VIC, Australia
  • Volume
    17
  • Issue
    3
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    290
  • Lastpage
    304
  • Abstract
    We introduce hi-trees, a new visual representation for hierarchical data in which, depending on the kind of parent node, the child relationship is represented using either containment or links. We give a drawing convention for hi-trees based on the standard layered drawing convention for rooted trees, then show how to extend standard bottom-up tree layout algorithms to draw hi-trees in this convention. We also explore a number of other more compact layout styles for layout of larger hi-trees and give algorithms for computing these. Finally, we describe two applications of hi-trees: argument mapping and business decision support.
  • Keywords
    tree data structures; trees (mathematics); argument mapping; business decision support; hi-trees; hierarchical data visual representation; rooted trees; standard bottom-up tree layout algorithms; standard layered drawing convention; Compaction; Data visualization; Decision making; Economic indicators; Electronic mail; Standards development; Tree layout; argument mapping; decision support; hi-tree; information visualization.; Algorithms; Computational Biology; Decision Trees;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2010.45
  • Filename
    5432168