A space-optimized tree visualization

Author(s):  
Quang Vinh Nguyen ◽  
Mao Lin Huang
Keyword(s):  
2009 ◽  
Vol 25 (4) ◽  
pp. 557-558 ◽  
Author(s):  
J. Heard ◽  
W. Kaufmann ◽  
X. Guan

2016 ◽  
Vol 56 ◽  
pp. 01007 ◽  
Author(s):  
Guanqun Wang ◽  
Tsuneo Nakanishi ◽  
Akira Fukuda
Keyword(s):  

1937 ◽  
Vol 30 (5) ◽  
pp. 512-519
Author(s):  
Robert L. Payne
Keyword(s):  

2011 ◽  
Vol 30 (3) ◽  
pp. 1131-1140 ◽  
Author(s):  
HyunJu Shin ◽  
GwangHyun Park ◽  
JungHyun Han

2003 ◽  
Vol 2 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Quang Vinh Nguyen ◽  
Mao Lin Huang

This paper describes a new approach, space-optimized tree, for the visualization and navigation of tree-structured relational data. This technique can be used especially for the display of very large hierarchies in a two-dimensional space. We discuss the advantages and limitations of current techniques of tree visualization. Our strategy is to optimize the drawing of trees in a geometrical plane and maximize the utilization of display space by allowing more nodes and links to be displayed at a limited screen resolution. Space-optimized tree is a connection+ enclosure visualization approach that recursively positions children of a subtree into polygon areas and still uses a node–link diagram to present the entire hierarchical structure. To be able to handle the navigation of large hierarchies, we use a new hybrid viewing technique that combines two viewing methods, the modified semantic zooming and a focus+ context technique. While the semantic zooming technique can enlarge a particular viewing area by filtering out the rest of tree structure from the visualization, the focus+context technique allows the user to interactively focus, view and browse the entire visual structure with a reasonable high-density display.


2020 ◽  
Author(s):  
Kalen Cantrell ◽  
Marcus W. Fedarko ◽  
Gibraan Rahman ◽  
Daniel McDonald ◽  
Yimeng Yang ◽  
...  

AbstractStandard workflows for analyzing microbiomes often include the creation and curation of phylogenetic trees. Here we present EMPress, an interactive tool for visualizing trees in the context of microbiome, metabolome, etc. community data scalable beyond modern large datasets like the Earth Microbiome Project. EMPress provides novel functionality—including ordination integration and animations—alongside many standard tree visualization features, and thus simplifies exploratory analyses of many forms of ‘omic data.


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