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Adaptive view-dependent tree graph visualization

机译:自适应视图依赖树图形可视化

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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分层数据集。分层数据集具有显示节点之间的父子关系的节点和链接。使用图形基元描述这些节点和链接。当这些基元的数量很大时,难以识别分层数据的结构,因为若干基元在显示空间内重叠。为了克服这种困难,我们提出了一种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中的节点密度选择适当的图形样式。

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