Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
H3: laying out large directed graphs in 3D hyperbolic space
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Botanical Visualization of Huge Hierarchies
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
PhylloTrees: Harnessing Nature's Phyllotactic Patterns for Tree Layout
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Visualisation of large and complex networks using polyplane
GD'04 Proceedings of the 12th international conference on Graph Drawing
Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
Visualizing internet evolution on the autonomous systems level
GD'07 Proceedings of the 15th international conference on Graph drawing
Google+Ripples: a native visualization of information flow
Proceedings of the 22nd international conference on World Wide Web
Proceedings of Graphics Interface 2013
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Motivations for drawing hierarchical structures are probably as diverse as datasets to visualize. This ubiquity of tree structures has lead to a manifold of tree layout algorithms and tree visualization systems. While many tree layouts exist, increasingly massive data sets, expanding computational power, and still relatively limited display space make tree layout algorithms a topic of ongoing interest. We explore the use of nature's phyllotactic patterns to inform the layout of hierarchical data. These naturally occurring patterns provide a non-overlapping, optimal packing when the total number of nodes is not known a priori. We present PhylloTrees, a family of expandable tree layouts based on these patterns.