Storygraph: extracting patterns from spatio-temporal data

Ayush Shrestha, B. Miller, Ying Zhu, Yi Zhao
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引用次数: 22

Abstract

Analysis of spatio-temporal data often involves correlating different events in time and location to uncover relationships between them. It is also desirable to identify different patterns in the data. Visualizing time and space in the same chart is not trivial. Common methods includes plotting the latitude, longitude and time as three dimensions of a 3D chart. Drawbacks of these 3D charts include not being able to scale well due to cluttering, occlusion and difficulty to track time in case of clustered events. In this paper we present a novel 2D visualization technique called Storygraph which provides an integrated view of time and location to address these issues. We also present storylines based on Storygraph which show movement of the actors over time. Lastly, we present case studies to show the applications of Storygraph.
故事图:从时空数据中提取模式
对时空数据的分析通常涉及将不同事件在时间和地点上联系起来,以揭示它们之间的关系。还需要识别数据中的不同模式。在同一张图表中可视化时间和空间并非易事。常用的方法包括绘制纬度、经度和时间作为三维图表的三个维度。这些3D图表的缺点包括由于混乱、遮挡和在聚集事件的情况下难以跟踪时间而无法很好地缩放。在本文中,我们提出了一种新的二维可视化技术,称为故事图,它提供了时间和地点的综合视图来解决这些问题。我们还呈现基于故事图的故事情节,它显示了演员随时间的运动。最后,我们通过案例研究来展示故事图的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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