CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Drawing trees nicely with T2EX
Electronic Publishing—Origination, Dissemination, and Design
The information visualizer, an information workspace
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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)
The Art of Computer Programming Volumes 1-3 Boxed Set
The Art of Computer Programming Volumes 1-3 Boxed Set
Using Perceptual Syntax to Enhance Semantic Content in Diagrams
IEEE Computer Graphics and Applications
Cushion Treemaps: Visualization of Hierarchical Information
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
A Comparison of 2-D Visualizations of Hierarchies
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
Cascaded treemaps: examining the visibility and stability of structure in treemaps
GI '08 Proceedings of graphics interface 2008
Human-centered visualization environments
Human-centered visualization environments
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Beamtrees are a new method for the visualization of large hierarchical data sets, such as directory structures and organization structures. Nodes are shown as stacked circular beams such that both the hierarchical structure as well as the size of nodes are depicted. The dimensions of beams are calculated using a variation of the treemap algorithm. Both a two-dimensional and a three-dimensional variant are presented. A small user study indicated that beamtrees are significantly more effective than nested treemaps and cushion treemaps for the extraction of global hierarchical information.