面向大规模信息可视化分析的空间优化交互方法

本文针对焦点上下文变形方法对大规模信息布局进行交互时,出现的焦点放大后更多的信息被压缩显示在更小的空间,整体布局被严重扭曲的问题,提出了一种空间优化交互方法.这种方法针对大规模信息的几何布局进行变形,扩大焦点区域分配的空间,所有节点在新分配的空间内按照原布局方法进行布局.变形过程中能消除点边交叉,变形后能清晰地保持大规模信息整体布局.将这种交互方法应用于大规模疫情传播的可视化布局中,实验效果表明,在保存清晰的整体布局同时放大关注区域,可以辅助用户更好地进行可视化分析.

Space-optimized interactive method used in large scale information visualization analysis

This paper mainly focuses on the problem that whole layout of large scale information visualization is distorted seriously after focus+context interaction. We propose the space-optimized interactive method to reduce the whole layout distortion by redistributing the display space based on the original geometric layout. All nodes are still placed according to the original layout algorithm in new display space. Our method can enlarge the focus area and reduce the intersections of the points and lines. The layout of information still keeps clear. We apply this method to visualize the spread of disease, and the results show that our method achieves better visibility analysis.