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Adaptive view-dependent tree graph visualization

机译:自适应视图相关树形图可视化

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This paper proposes an adaptive visualization technique for representing a large-scale hierarchical dataset within a limited display space. A hierarchical dataset has nodes and links that reveal the parent-child relationship between the nodes. These nodes and links are described using graphics primitives. When the number of these primitives is large, it is difficult to recognize the structure of the hierarchical data because several primitives overlap within a display space. In order To overcome this difficulty, we propose an adaptive visualization technique for hierarchical datasets. The proposed technique selects an appropriate graph style according to the nodal density in each area.
机译:本文提出了一种自适应可视化技术,用于在有限的显示空间内表示大规模的分层数据集。分层数据集具有节点和链接,这些链接和链接揭示了节点之间的父子关系。这些节点和链接是使用图形基元描述的。当这些原语的数量很大时,由于几个原语在显示空间内重叠,因此难以识别分层数据的结构。为了克服这个困难,我们提出了一种适用于分层数据集的自适应可视化技术。所提出的技术根据每个区域的节点密度选择合适的图形样式。

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