Visualizing sets of elements and their relations is an important research area in information visualization. In this paper, we present MosaicSets: a novel approach to create Euler-like diagrams from non-spatial set systems such that each element occupies one cell of a regular hexagonal or square grid. The main challenge is to find an assignment of the elements to the grid cells such that each set constitutes a contiguous region. As use case, we consider the research groups of a university faculty as elements, and the departments and joint research projects as sets. We aim at finding a suitable mapping between the research groups and the grid cells such that the department structure forms a base map layout. Our objectives are to optimize both the compactness of the entirety of all cells and of each set by itself. We show that computing the mapping is NP-hard. However, using integer linear programming we can solve real-world instances optimally within a few seconds. Moreover, we propose a relaxation of the contiguity requirement to visualize otherwise non-embeddable set systems. We present and discuss different rendering styles for the set overlays. Based on a case study with real-world data, our evaluation comprises quantitative measures as well as expert interviews.
翻译:对元素集及其关系进行可视化是信息可视化的一个重要研究领域。 在本文中, 我们介绍MosaicSet: 一种新颖的方法, 从非空间设置系统创建类似 Euler 的图表, 使每个元素都占据正常六边形或平方格的一个单元格。 主要的挑战是如何将元素分配到网格单元, 这样每组元素组就构成一个毗连区域。 使用这个例子, 我们把大学教师的研究组视为元素, 以及各部门和联合研究项目视为设置。 我们的目标是在研究组和电网格单元之间找到合适的地图, 使部门结构形成一个基础地图布局。 我们的目标是优化所有单元格和每组本身的紧凑性。 我们用真实世界数据进行计算是硬的。 但是, 使用整数线性编程程序, 我们可以在短短短短的几秒内以最优化的方式解析真实世界实例。 此外, 我们提议放宽连续性要求, 以视觉化其他非可编集的系统。 我们提出并讨论设置的套装图式。 我们提出和讨论套图式, 以案例研究为基础, 将我们作为专家的定量和定量的访谈组成。