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dc.contributor.authorNeumann, Petraen_US
dc.contributor.authorCarpendale, Sheelaghen_US
dc.contributor.authorAgarawala, Ananden_US
dc.contributor.editorBeatriz Sousa Santos and Thomas Ertl and Ken Joyen_US
dc.date.accessioned2014-01-31T07:05:13Z
dc.date.available2014-01-31T07:05:13Z
dc.date.issued2006en_US
dc.identifier.isbn3-905673-31-2en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VisSym/EuroVis06/059-066en_US
dc.description.abstractMotivations 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.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): H.5.2 [Information Interfaces and Presentation]: User Interfaces - Graphical user interfaces (GUI) I.3.6 [Computer Graphics]: Methodology and Techniques - Interaction techniquesen_US
dc.titlePhylloTrees: Phyllotactic Patterns for Tree Layouten_US
dc.description.seriesinformationEUROVIS - Eurographics /IEEE VGTC Symposium on Visualizationen_US


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