有序的树状图布局

B. Shneiderman, M. Wattenberg
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引用次数: 265

摘要

树图(Treemaps)是一种用于可视化大型分层数据集的空间填充方法,目前正受到越来越多的关注。已经提出了几种算法,通过控制构成树状图的矩形的长宽比来创建更有用的显示。虽然这些算法确实提高了单个布局中小项目的可见性,但随着时间的推移,它们在动态变化的数据的显示中引入了不稳定性,并且无法保持底层数据的顺序。本文介绍了有序树图,它解决了这两个缺点。有序树状图算法确保在给定顺序中彼此相邻的项在树状图布局中彼此相邻。利用蒙特卡罗试验的实验证据,我们表明与其他布局算法相比,有序树图在保持相对有利的组成矩形长宽比的同时更稳定。第二个测试集使用股票市场数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ordered treemap layouts
Treemaps, a space-filling method of visualizing large hierarchical data sets, are receiving increasing attention. Several algorithms have been proposed to create more useful displays by controlling the aspect ratios of the rectangles that make up a treemap. While these algorithms do improve visibility of small items in a single layout, they introduce instability over time in the display of dynamically changing data, and fail to preserve an ordering of the underlying data. This paper introduces the ordered treemap, which addresses these two shortcomings. The ordered treemap algorithm ensures that items near each other in the given order will be near each other in the treemap layout. Using experimental evidence from Monte Carlo trials, we show that compared to other layout algorithms ordered treemaps are more stable while maintaining relatively favorable aspect ratios of the constituent rectangles. A second test set uses stock market data.
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