Title
BarcodeTree: Scalable Comparison of Multiple Hierarchies.
Abstract
We propose BarcodeTree (BCT), a novel visualization technique for comparing topological structures and node attribute values of multiple trees. BCT can provide an overview of one hundred shallow and stable trees simultaneously, without aggregating individual nodes. Each BCT is shown within a single row using a style similar to a barcode, allowing trees to be stacked vertically with matching nodes aligned horizontally to ease comparison and maintain space efficiency. We design several visual cues and interactive techniques to help users understand the topological structure and compare trees. In an experiment comparing two variants of BCT with icicle plots, the results suggest that BCTs make it easier to visually compare trees by reducing the vertical distance between different trees. We also present two case studies involving a dataset of hundreds of trees to demonstrate BCT's utility.
Year
DOI
Venue
2020
10.1109/TVCG.2019.2934535
IEEE transactions on visualization and computer graphics
Keywords
Field
DocType
Vegetation,Visualization,Encoding,Task analysis,Data visualization,Layout,Libraries
Computer science,Theoretical computer science,Hierarchy,Scalability
Journal
Volume
Issue
ISSN
26
1
1077-2626
Citations 
PageRank 
References 
5
0.37
17
Authors
8
Name
Order
Citations
PageRank
Guo-Zheng Li136842.62
Yu Zhang261.06
Dong Yu36264475.73
Jie Liang48610.85
Jinson Zhang5172.93
Jinsong Wang683.15
Michael J. McGuffin798954.52
Xiaoru Yuan8115770.28