Glyph sorting: Interactive visualization for multi-dimensional data. (January 2015)

• Record Type: Journal Article
• Authors: Chung, David HS; Legg, Philip A; Parry, Matthew L; Bown, Rhodri; Griffiths, Iwan W; Laramee, Robert S; Chen, Min
• Other Names: Cook Kristin guest-editor.; Grinstein Georges guest-editor.; Whiting Mark guest-editor.
• Is Part Of: Information visualization. Volume 14:Number 1(2015:Jan.)
• Page Start: 76
• Page End: 90
• Publication Date: 2015-01
• Subjects: Multi-dimensional multivariate data visualization -- icons -- focus and context -- high-dimensional datasets -- interactive visualization; Information visualization -- Periodicals; 006.605
• DOI: 10.1177/1473871613511959
• Languages: English
• ISSNs: 1473-8716

Abstract

Glyph-based visualization is an effective tool for depicting multivariate information. Since sorting is one of the most common analytical tasks performed on individual attributes of a multi-dimensional dataset, this motivates the hypothesis that introducing glyph sorting would significantly enhance the usability of glyph-based visualization. In this article, we present a glyph-based conceptual framework as part of a visualization process for interactive sorting of multivariate data. We examine several technical aspects of glyph sorting and provide design principles for developing effective, visually sortable glyphs. Glyphs that are visually sortable provide two key benefits: (1) performing comparative analysis of multiple attributes between glyphs and (2) to support multi-dimensional visual search. We describe a system that incorporates focus and context glyphs to control sorting in a visually intuitive manner and for viewing sorted results in an interactive, multi-dimensional glyph plot that enables users to perform high-dimensional sorting, analyse and examine data trends in detail. To demonstrate the usability of glyph sorting, we present a case study in rugby event analysis for comparing and analysing trends within matches. This work is undertaken in conjunction with a national rugby team. From using glyph sorting, analysts have reported the discovery of new insight beyond traditional match analysis.