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
fDate :
3/1/2011 12:00:00 AM
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;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2010.45