Flexible Linked Axes for Multivariate Data Visualization
Flexible Linked Axes for Multivariate Data Visualization
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DOI：
10.1109/tvcg.2011.201
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发表时间：
2011-12-01
影响因子：
5.2
通讯作者：
van Wijk, Jarke J.
中科院分区：
文献类型：
--
作者：
Claessen, Jarry H. T.;van Wijk, Jarke J.
多元数据可视化是一个经典的话题，已经提出了许多解决方案，每个都有自己的优点和缺点。在标准的解决方案中，可视化的结构是固定的，我们探索如何给用户更多的自由来定义可视化。我们的新方法是基于灵活链接轴的使用：用户可以通过在画布上绘制和链接轴来定义可视化。每个轴都有一个相关联的属性和范围，可以进行调整。轴对之间的链接用于以散点图或平行坐标图样式显示数据。灵活的链接轴使用户能够定义各种不同的可视化。这些方法包括标准方法，如散点图矩阵，雷达图和PCP [11];不太知名的方法，如Hyperboxes [1]，TimeWheels [17]和多对多关系平行坐标显示[14];以及自定义可视化，由散点图和PCP的组合组成。此外，我们的方法允许用户定义自动支持刷和链接的复合可视化。我们已经与十位潜在用户讨论了我们的方法，他们发现这个概念很容易理解，而且很有前途。
Multivariate data visualization is a classic topic, for which many solutions have been proposed, each with its own strengths and weaknesses. In standard solutions the structure of the visualization is fixed, we explore how to give the user more freedom to define visualizations. Our new approach is based on the usage of Flexible Linked Axes: The user is enabled to define a visualization by drawing and linking axes on a canvas. Each axis has an associated attribute and range, which can be adapted. Links between pairs of axes are used to show data in either scatterplot- or Parallel Coordinates Plot-style. Flexible Linked Axes enable users to define a wide variety of different visualizations. These include standard methods, such as scatterplot matrices, radar charts, and PCPs [11]; less well known approaches, such as Hyperboxes [1], TimeWheels [17], and many-to-many relational parallel coordinate displays [14]; and also custom visualizations, consisting of combinations of scatterplots and PCPs. Furthermore, our method allows users to define composite visualizations that automatically support brushing and linking. We have discussed our approach with ten prospective users, who found the concept easy to understand and highly promising.