角树图——一种可视化和强调层次结构的新技术

Jie Liang, Quang Vinh Nguyen, S. Simoff, M. Huang
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引用次数: 16

摘要

空间填充可视化技术已经证明了其在可视化大型分层结构化数据方面的能力。然而,现有的大多数技术只在垂直和水平方向上限制了它们的划分过程,这导致了识别层次结构的问题。本文提出了一种新的空间填充方法——角树图(Angular Treemaps),它解除了矩形细分的约束。Angular Treemaps的方法利用分而治之的范式,在紧凑和有限的显示区域内可视化和强调大型层次结构,具有更好的可解释性。Angular Treemaps根据用户偏好或系统建议生成各种布局来突出显示分层子结构。它提供了灵活性,适用于更广泛的应用,针对不同的封闭形状。初步的可用性结果表明,使用该技术可以提高用户在定位和识别分类分析任务方面的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Angular Treemaps - A New Technique for Visualizing and Emphasizing Hierarchical Structures
Space-filling visualization techniques have proved their capability in visualizing large hierarchical structured data. However, most existing techniques restrict their partitioning process in vertical and horizontal direction only, which cause problem with identifying hierarchical structures. This paper presents a new space-filling method named Angular Treemaps that relax the constraint of the rectangular subdivision. The approach of Angular Treemaps utilizes divide and conquer paradigm to visualize and emphasize large hierarchical structures within a compact and limited display area with better interpretability. Angular Treemaps generate various layouts to highlight hierarchical sub-structure based on user's preferences or system recommendations. It offers flexibility to be adopted into a wider range of applications, regarding different enclosing shapes. Preliminary usability results suggest user's performance by using this technique is improved in locating and identifying categorized analysis tasks.
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