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A Study on 2D and 3D Parallel Coordinates for Pattern Identification in Temporal Multivariate Data

机译:时间多元数据中用于模式识别的2D和3D平行坐标的研究

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摘要

Parallel coordinates are commonly used for non-temporal multivariate data, but there is little support for their usability for displaying temporal multivariate data. In this paper, we introduce a study evaluating the usability of 2D and 3D parallel coordinates for pattern identification in temporal multivariate data. The results indicate that 3D parallel coordinates have higher usability, as measured with higher accuracy and faster response time as well as subjective ratings, compared to 2D.
机译:并行坐标通常用于非时间多元数据,但是很少支持它们用于显示时间多元数据的可用性。在本文中,我们介绍了一项评估2D和3D平行坐标在时间多变量数据中用于模式识别的可用性的研究。结果表明,与2D相比,以更高的精度和更快的响应时间以及主观评分进行测量,3D平行坐标具有更高的可用性。

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