时间平行坐标中的深度线索和密度

J. Johansson, P. Ljung, M. Cooper
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引用次数: 30

摘要

本文介绍了时间密度平行坐标(TDPC)和深度线索平行坐标(DCPC),它们扩展了标准二维平行坐标技术来捕捉时变动态。所提出的技术可用于分析数据项的时间位置以及使用2D显示发生的变化的时间位置。为了表示时间变化,多边形(而不是传统的直线)以平行坐标呈现。结果表明,绘制多边形在揭示大的时间变化方面具有优势。TDPC和DCPC都已在GPU上有效实现,允许以交互帧率在数千个时间步上可视化数千个数据项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Depth Cues and Density in Temporal Parallel Coordinates
This paper introduces Temporal Density Parallel Coordinates (TDPC) and Depth Cue Parallel Coordinates (DCPC) which extend the standard 2D parallel coordinates technique to capture time-varying dynamics. The proposed techniques can be used to analyse temporal positions of data items as well as temporal positions of changes occurring using 2D displays. To represent temporal changes, polygons (instead of traditional lines) are rendered in parallel coordinates. The results presented show that rendering polygons is superior at revealing large temporal changes. Both TDPC and DCPC have been efficiently implemented on the GPU allowing the visualization of thousands of data items over thousands of time steps at interactive frame rates.
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