Browsing Zoomable Treemaps: Structure-Aware Multi-Scale Navigation Techniques
Browsing Zoomable Treemaps: Structure-Aware Multi-Scale Navigation Techniques
复制标题
浏览可缩放树图：结构感知的多尺度导航技术
DOI：
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发表时间：
2007
影响因子：
5.2
通讯作者：
É. Lecolinet
中科院分区：
文献类型：
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作者：
R. Blanch;É. Lecolinet
树形图为表示分层数据提供了一个有趣的解决方案。然而，大多数研究主要集中在布局算法上，而对与树图的交互关注有限。这使得探索大型数据集和获取细节变得困难，尤其是与树叶相关的细节。我们提出了可缩放树形图（ZTM）的概念，这是树形图和可缩放用户界面之间的混合，有助于在大型分层数据集中进行导航。通过提供一套一致的交互技术，ZTM 使用户能够浏览非常大的数据集（例如，在 13 个级别之间调度的 700,000 个节点）。这些技术使用显示数据的结构来指导交互，并提供一种改进树形图中交互式导航的方法。
Treemaps provide an interesting solution for representing hierarchical data. However, most studies have mainly focused on layout algorithms and paid limited attention to the interaction with treemaps. This makes it difficult to explore large data sets and to get access to details, especially to those related to the leaves of the trees. We propose the notion of zoomable treemaps (ZTMs), an hybridization between treemaps and zoomable user interfaces that facilitates the navigation in large hierarchical data sets. By providing a consistent set of interaction techniques, ZTMs make it possible for users to browse through very large data sets (e.g., 700,000 nodes dispatched amongst 13 levels). These techniques use the structure of the displayed data to guide the interaction and provide a way to improve interactive navigation in treemaps.