MoReVis：时空运动区域的可视化摘要
MoReVis: A Visual Summary for Spatiotemporal Moving Regions
摘要：
空间和时间的相互作用是我们世界上许多活动的核心和基础。可视化这类数据时面临的一个常见问题是如何提供一个帮助用户高效导航的概览。传统的方法使用协调视图或3D隐喻（如时空立方体）来解决这个问题。然而，它们遭受过度绘制，往往缺乏空间背景，阻碍了数据探索。最近的技术，如MotionRugs，提出了基于1D投影的紧凑的时间摘要。这些技术虽然强大，但不支持对象及其交叉点的空间范围相关的情况，例如分析监控视频或跟踪天气风暴。在本文中，我们提出了MoReVis，时空数据的视觉概述，认为对象的空间范围，并努力显示这些对象之间的空间交互显示空间交叉点。与以前的技术一样，我们的方法涉及将空间坐标投影到1D以生成紧凑的摘要。然而，我们的解决方案的核心包括执行布局优化步骤，该步骤将摘要上的视觉标记的大小和位置设置为类似于原始空间上的实际值。我们还提供了多种交互机制，使用户更直接地解释结果。我们进行了广泛的实验评估和使用场景。此外，我们在一项有9名参与者的研究中评估了MoreVis的有用性。结果表明，与传统技术相比，我们的方法在表示不同的数据集时具有有效性和适用性。
英文摘要：
Spatial and temporal interactions are central and fundamental in many activities in our world. A common problem faced when visualizing this type of data is how to provide an overview that helps users navigate efficiently. Traditional approaches use coordinated views or 3D metaphors like the Space-time cube to tackle this problem. However, they suffer from overplotting and often lack spatial context, hindering data exploration. More recent techniques, such as MotionRugs, propose compact temporal summaries based on 1D projection. While powerful, these techniques do not support the situation for which the spatial extent of the objects and their intersections is relevant, such as the analysis of surveillance videos or tracking weather storms. In this paper, we propose MoReVis, a visual overview of spatiotemporal data that considers the objects' spatial extent and strives to show spatial interactions among these objects by displaying spatial intersections. Like previous techniques, our method involves projecting the spatial coordinates to 1D to produce compact summaries. However, our solution's core consists of performing a layout optimization step that sets the size and positions of the visual marks on the summary to resemble the actual values on the original space. We also provide multiple interactive mechanisms to make interpreting the results more straightforward for the user. We perform an extensive experimental evaluation and usage scenarios. Moreover, we evaluated the usefulness of MoReVis in a study with 9 participants. The results point out the effectiveness and suitability of our method in representing different datasets compared to traditional techniques.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
