Exploring hierarchical visualization designs using phylogenetic trees

Shaomeng Li; R. Jordan Crouser; Garth Griffin; Connor Gramazio; Hans-Jörg Schulz; Hank Childs; Remco Chang

doi:10.1117/12.2078857

8 February 2015 Exploring hierarchical visualization designs using phylogenetic trees

Shaomeng Li, R. Jordan Crouser, Garth Griffin, Connor Gramazio, Hans-Jörg Schulz, Hank Childs, Remco Chang

Proceedings Volume 9397, Visualization and Data Analysis 2015; 939709 (2015) https://doi.org/10.1117/12.2078857
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

Ongoing research on information visualization has produced an ever-increasing number of visualization designs. Despite this activity, limited progress has been made in categorizing this large number of information visualizations. This makes understanding their common design features challenging, and obscures the yet unexplored areas of novel designs. With this work, we provide categorization from an evolutionary perspective, leveraging a computational model to represent evolutionary processes, the phylogenetic tree. The result - a phylogenetic tree of a design corpus of hierarchical visualizations - enables better understanding of the various design features of hierarchical information visualizations, and further illuminates the space in which the visualizations lie, through support for interactive clustering and novel design suggestions. We demonstrate these benefits with our software system, where a corpus of two-dimensional hierarchical visualization designs is constructed into a phylogenetic tree. This software system supports visual interactive clustering and suggesting for novel designs; the latter capacity is also demonstrated via collaboration with an artist who sketched new designs using our system.

Citation Download Citation

Shaomeng Li, R. Jordan Crouser, Garth Griffin, Connor Gramazio, Hans-Jörg Schulz, Hank Childs, and Remco Chang "Exploring hierarchical visualization designs using phylogenetic trees", Proc. SPIE 9397, Visualization and Data Analysis 2015, 939709 (8 February 2015); https://doi.org/10.1117/12.2078857

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available