The algorithmic beauty of plants
The algorithmic beauty of plants
Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information visualization: perception for design
Information visualization: perception for design
ACM Computing Surveys (CSUR)
3D or not 3D?: evaluating the effect of the third dimension in a document management system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualizing Data
Dynamic Aggregation with Circular Visual Designs
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
RINGS: A Technique for Visualizing Large Hierarchies
GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
Case study: Narcissus: visualising information
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Botanical Visualization of Huge Hierarchies
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
A Space-Optimized Tree Visualization
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
InterRing: An Interactive Tool for Visually Navigating and Manipulating Hierarchical Structures
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Beamtrees: Compact Visualization of Large Hierarchies
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
SpaceTree: Supporting Exploration in Large Node Link Tree, Design Evolution and Empirical Evaluation
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
TreeJuxtaposer: scalable tree comparison using Focus+Context with guaranteed visibility
ACM SIGGRAPH 2003 Papers
Hi-index | 0.00 |
It is difficult for the average viewer to assimilate and comprehend huge amounts of high-dimensional data. It is important to present data in a way that allows the user a high level understanding of the overall organization and structure without losing the ability to study low level detail as needed. Although hierarchically clustered data is already organized, many current means of presenting such data give the user little more than an overview of the organization. It would be useful to see more information about the data even at a high level and to examine specific clusters as needed. We want to understand the relationships of the clusters in terms of the underlying data, and to understand the extent and variability of the data without requiring examination of each data item. To meet these goals, we present an aesthetically appealing visualization based on botanical trees which preserves the natural order of hierarchically organized data. Hierarchical data is rendered as a simple branched tree. The tree gives an overview of the relationships among various clusters and is supplemented with two glyphs which allow the user to focus in on specific clusters of the data at different levels of detail. At a medium level of focus, a cluster glyph based on a radial, space filling approach shows the subtree rooted at a specified cluster. At a low level of detail, the branch glyph allows the viewer to see not only aggregate information about the cluster but the extent and variability of the component clusters.