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Visual comparison for information visualization

机译：可视化比较以实现信息可视化

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摘要

Data analysis often involves the comparison of complex objects. With the ever increasing amounts and complexity of data, the demand for systems to help with these comparisons is also growing. Increasingly, information visualization tools support such comparisons explicitly, beyond simply allowing a viewer to examine each object individually. In this paper, we argue that the design of information visualizations of complex objects can, and should, be studied in general, that is independently of what those objects are. As a first step in developing this general understanding of comparison, we propose a general taxonomy of visual designs for comparison that groups designs into three basic categories, which can be combined. To clarify the taxonomy and validate its completeness, we provide a survey of work in information visualization related to comparison. Although we find a great diversity of systems and approaches, we see that all designs are assembled from the building blocks of juxtaposition, superposition and explicit encodings. This initial exploration shows the power of our model, and suggests future challenges in developing a general understanding of comparative visualization and facilitating the development of more comparative visualization tools.
机译：数据分析通常涉及复杂对象的比较。随着数据量和复杂性的不断提高，对帮助进行这些比较的系统的需求也在增长。信息可视化工具越来越多地明确支持这种比较，而不仅仅是允许查看者单独检查每个对象。在本文中，我们认为，复杂对象的信息可视化设计可以并且应该总体上进行研究，这与那些对象是什么无关。作为发展对比较的一般理解的第一步，我们提出了视觉设计的一般分类法，用于比较，将设计分为三个基本类别，可以将它们组合在一起。为了阐明分类法并验证其完整性，我们对与比较相关的信息可视化工作进行了调查。尽管我们发现系统和方法的多样性，但我们看到所有设计都是从并列，叠加和显式编码的构建块组装而成的。最初的探索展示了我们模型的力量，并提出了在发展对比较可视化的一般理解并促进开发更多比较可视化工具方面的未来挑战。

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  • 来源
    《Information visualization》 |2011年第4期|p.289-309|共21页
  • 作者

    Michael Gleicher; Danielle Albers; Rick Walker; Ilir Jusufi; Charles D. Hansen; Jonathan C. Roberts;

  • 作者单位

    Department of Computer Sciences, University of Wisconsin, 1210 West Dayton St., Madison, Wl 53706, USA;

    rnDepartment of Computer Sciences, University of Wisconsin ,Madison, Wl, USA;

    rnSchool of Computer Science, Bangor University, Bangor, Gwynedd, UK;

    rnSchool of Computer Science, Physics and Mathematics, Linnaeus University, Vaxjo, Sweden;

    rnSchool of Computing and SCI Institute, University of Utah, Salt Lake City, UT, USA;

    rnSchool of Computer Science, Bangor University, Bangor, Gwynedd, UK;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    comparison; taxonomy; survey;

    机译：比较分类;调查;

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