在螺旋上可视化时间序列

Marc Weber, M. Alexa, Wolfgang Müller
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引用次数: 384

摘要

本文提出了一种基于螺旋的时间序列数据可视化的新方法。与传统的条形图和线形图不同,螺旋图适合于可视化大型数据集,并且能够更好地识别数据中的周期性结构。此外,它还支持基于类似可视化隐喻的标称数据和定量数据的可视化。将螺旋可视化扩展到3D,可以访问数据集中的缩放、聚焦和链接概念。因此,螺旋补充了时间序列的其他可视化技术,并特别增强了周期性模式的识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualizing time-series on spirals
In this paper, we present a new approach for the visualization of time-series data based on spirals. Different to classical bar charts and line graphs, the spiral is suited to visualize large data sets and supports much better the identification of periodic structures in the data. Moreover, it supports both the visualization of nominal and quantitative data based on a similar visualization metaphor. The extension of the spiral visualization to 3D gives access to concepts for zooming and focusing and linking in the data set. As such, spirals complement other visualization techniques for time series and specifically enhance the identication of periodic patterns.
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