使用抽屉树可视化大型层次结构

Yalong Yang, Ning Dou, Shuai Zhao, Zhichao Yang, Kang Zhang, Quang Vinh Nguyen
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引用次数: 3

摘要

诸如Treemaps之类的圈地划分方法已经证明了它们在紧凑和有限的显示区域内可视化大型分层结构方面的有效性。大多数Treemaps技术不使用节点链接来显示结构关系。本文提出了一种新的树状可视化方法,称为“绘图树”,它可以用来表示大数据的结构、组织和相互关系。利用传统节点链接可视化的显示空间,提出了一种具有高可扩展性的树形结构可视化新方法。“抽屉”这个名字是一个隐喻,帮助人们理解可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualizing large hierarchies with drawer trees
Enclosure partitioning approaches, such as Treemaps, have proved their effectiveness in visualizing large hierarchical structures within a compact and limited display area. Most of the Treemaps techniques do not use node-links to show the structural relations. This paper presents a new tree visualization approach known as Drawer-Tree that can be used to present the structure, organization and interrelation of big data. By utilizing the display space with traditional node-link visualization, we have developed a novel method for visualizing tree structures with high scalability. The name "drawer" is a metaphor that helps people understand the visualization.
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