CactusTree: A tree drawing approach for hierarchical edge bundling

Tommy Dang, Angus Forbes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

This paper introduces CactusTree, a novel visualization technique for representing hierarchical datasets. We introduce details about the construction of CactusTrees and describe how they can be used to represent nested data and relationships between elements in the data. We explain how our design decisions were informed by tasks common to a range of scientific domains. A key contribution of this article is the introduction of descriptive features that can be used to characterize trees in terms of their structural and connective qualities.

Original languageEnglish
Title of host publication2017 IEEE Pacific Visualization Symposium, PacificVis 2017 - Proceedings
EditorsYingcai Wu, Daniel Weiskopf, Tim Dwyer
PublisherIEEE Computer Society
Pages210-214
Number of pages5
ISBN (Electronic)9781509057382
DOIs
StatePublished - Sep 11 2017
Event10th IEEE Pacific Visualization Symposium, PacificVis 2017 - Seoul, Korea, Republic of
Duration: Apr 18 2017Apr 21 2017

Publication series

NameIEEE Pacific Visualization Symposium
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773

Conference

Conference10th IEEE Pacific Visualization Symposium, PacificVis 2017
Country/TerritoryKorea, Republic of
CitySeoul
Period04/18/1704/21/17

Keywords

  • Hierarchical edge bundling
  • Taxonomies
  • Tree layouts

Fingerprint

Dive into the research topics of 'CactusTree: A tree drawing approach for hierarchical edge bundling'. Together they form a unique fingerprint.

Cite this