University of Toronto.
IEEE Trans Vis Comput Graph. 2009 Nov-Dec;15(6):1009-16. doi: 10.1109/TVCG.2009.122.
While many data sets contain multiple relationships, depicting more than one data relationship within a single visualization is challenging. We introduce Bubble Sets as a visualization technique for data that has both a primary data relation with a semantically significant spatial organization and a significant set membership relation in which members of the same set are not necessarily adjacent in the primary layout. In order to maintain the spatial rights of the primary data relation, we avoid layout adjustment techniques that improve set cluster continuity and density. Instead, we use a continuous, possibly concave, isocontour to delineate set membership, without disrupting the primary layout. Optimizations minimize cluster overlap and provide for calculation of the isocontours at interactive speeds. Case studies show how this technique can be used to indicate multiple sets on a variety of common visualizations.
虽然许多数据集包含多种关系，但在单个可视化中描绘超过一种数据关系是具有挑战性的。我们引入了泡泡集（Bubble Sets），作为一种用于具有主要数据关系和语义上有意义的空间组织，以及重要的集合成员关系的数据的可视化技术，其中同一集合的成员在主要布局中不一定相邻。为了保持主要数据关系的空间权利，我们避免使用那些改善集合簇连续性和密度的布局调整技术。相反，我们使用连续的、可能是凹的等密线来描绘集合成员，而不破坏主要布局。优化算法可以最小化簇重叠，并以交互速度计算等密线。案例研究展示了如何在各种常见的可视化中使用此技术来表示多个集合。
