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Space-Reclaiming Icicle Plots

机译:空间回收冰柱图

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This paper describes the space-reclaiming icicle plots, hierarchy visualizations based on the visual metaphor of icicles. As a novelty, our approach tries to reclaim empty space in all hierarchy levels. This reclaiming results in an improved visibility of the hierarchy elements especially those in deeper levels. We implemented an algorithm that is capable of producing more space-reclaiming icicle plot variants. Several visual parameters can be tweaked to change the visual appearance and readability of the plots: among others, a space-reclaiming parameter, an empty space shrinking parameter, and a gap size. To illustrate the usefulness of the novel visualization technique we applied it, among others, to an NCBI taxonomy dataset consisting of more than 300,000 elements and with maximum depth 42. Moreover, we explore the parameter and design space by applying several values for the visual parameters. We also conducted a controlled user study with 17 participants and received qualitative feedback from 112 students from a visualization course.
机译:本文描述了空间回收冰柱图,基于冰柱的视觉隐喻的层次结构可视化。作为一种新颖性,我们的方法尝试在所有层次结构级别上回收空白空间。这种回收可以提高层次结构元素的可见性,尤其是在更深层次的元素。我们实现了一种能够产生更多空间回收冰柱图变体的算法。可以调整几个视觉参数以更改图形的视觉外观和可读性:其中包括空格回收参数,空白空间缩小参数和间隙大小。为了说明新颖的可视化技术的实用性,我们将其应用到了NCBI分类法数据集中,该数据集由300,000多个元素组成,最大深度为42。此外,我们通过为可视参数应用多个值来探索参数和设计空间。我们还进行了17名参与者的受控用户研究,并从可视化课程中接收了112名学生的质量反馈。

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