Glance排序：多维数据的交互式可视化
Glyph Sorting: Interactive Visualization for Multi-dimensional Data
摘要：
基于Glyph-based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单个属性执行的最常见的分析任务之一，因此这激发了这样的假设，即引入双排序将显著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，作为交互式排序的多变量数据的可视化过程的一部分。我们研究了字符串排序的几个技术方面，并提供了开发有效的、视觉上可排序的字形的设计原则。视觉上可排序的字形提供了两个关键好处：1）执行字形之间的多个属性的比较分析，以及2）支持多维视觉搜索。我们描述了一个系统，该系统结合了焦点和上下文字形，以直观的方式控制排序，并用于在交互式多维Glossary（IMG）图中查看排序结果，该图使用户能够执行高维排序，详细分析和检查数据趋势。为了证明排序的可用性，我们提出了一个案例研究，在橄榄球事件分析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。分析师报告说，通过使用随机排序，他们发现了超越传统匹配分析的新见解。
英文摘要：
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 data set, this motivates the hypothesis that introducing glyph sorting would significantly enhance the usability of glyph-based visualization. In this paper, 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 (IMG) 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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
