Glyph sorting: Interactive visualization for multi-dimensional data
Glyph sorting: Interactive visualization for multi-dimensional data
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DOI：
10.1177/1473871613511959
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发表时间：
2015-01-01
影响因子：
2.3
通讯作者：
Chen, Min
中科院分区：
文献类型：
--
作者：
Chung, David H. S.;Legg, Philip A.;Chen, Min
基于字形的可视化是描述多元信息的有效工具。由于排序是对多维数据集的各个属性执行的最常见的分析任务之一，因此这激发了以下假设：引入glyph分类将显着增强基于字形的可视化的可用性。在本文中，我们提出了一个基于字形的概念框架，这是用于交互式分类多元数据的可视化过程的一部分。我们研究了字形分类的几个技术方面，并提供了开发有效的，可视化的字形的设计原理。视觉上排序的字形提供了两个关键好处：（1）对字形和（2）之间多个属性进行比较分析以支持多维视觉搜索。我们描述了一个系统，该系统将重点和上下文字形以视觉直观的方式控制分类，并以交互式，多维的字形图进行观看排序的结果，从而使用户能够详细地进行高维分类，分析和检查数据趋势。为了证明字形分类的可用性，我们在橄榄球事件分析中提出了一个案例研究，以比较和分析比赛中的趋势。这项工作是与国家橄榄球队一起进行的。通过使用字形分类，分析师报告了除了传统匹配分析之外发现了新的见解。
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.