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
Research report: Interacting with huge hierarchies: beyond cone trees
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Interactive Information Visualization of a Million Items
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
Voronoi treemaps for the visualization of software metrics
SoftVis '05 Proceedings of the 2005 ACM symposium on Software visualization
Elastic Hierarchies: Combining Treemaps and Node-Link Diagrams
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
NodeTrix: a Hybrid Visualization of Social Networks
IEEE Transactions on Visualization and Computer Graphics
A novel method for large tree visualization
Bioinformatics
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In this paper, we describe a new visualisation method for hierarchical clustering named "stacked trees". Our goal is to display, at the same time, the relational structure of the top classes of a tree and a large number of information about its leaves. Thanks to this approach, one can visualize on a standard screen a dendrogram containing ten of thousands of nodes. Although this method has been imagined to explore the content of molecular libraries in chemoinformatic, our approach is generic enough to be used in many other domains. A prototype named STV (Stacked Trees Viewer) has been implemented as a Web application that is freely usable from our Web site.