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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:本文介绍了空间回收冰柱图,基于冰柱视觉隐喻的层次结构可视化。作为一种新颖性,我们的方法试图在所有层次水平中收回空间。这一回收率导致层次​​元素的可见性,尤其是那些更深层次的层次。我们实现了一种能够产生更多空间回收冰柱绘图变体的算法。可以调整几个视觉参数以改变绘图的视觉外观和可读性:其中,空间回收参数,空的空间收缩参数和间隙大小。为了说明我们将其应用于其中的新颖可视化技术的有用性,其中包括超过300,000个元素和最大深度42的NCBI分类数据集。此外,我们通过对视觉参数应用若干值来探索参数和设计空间。我们还对17名参与者进行了控制的用户学习,并从可视化课程中获得了112名学生的定性反馈。

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