面向多源城市出行数据的可视化查询模型

A Visual Query Model for Multi-Source Urban Mobility Data

多源城市出行数据为理解城市现象和享受城市生活带来了机遇.利用统计物理学和数据挖掘技术,人们在多源城市出行数据的研究上取得了很大进展,但是基于可视分析方法的研究甚少.为此,提出了一种可视化查询模型旨在解决应用可视分析方法研究多源城市出行数据时所面临的数据组织和可视表达上的挑战.查询模型从数据抽象,数据组织和管理,查询交互界面以及可视化分析等方面进行探讨,介绍了相关方法和技术.最后实现了查询模型的实例系统并通过典型案例证明了查询模型的有效性.

Multi-source mobility data provides an opportunity to understand urban phenomena and enjoy the urban life. Existing efforts have been made for studying multi-source mobility data via statistical physics models and data mining technologies. However, little attention is paid on visual analytics methods. In this paper, a visual query model is proposed to study multi-source human mobility data in a city to handle challenges from data management and visualization. First, principles of data abstraction are defined to produce a general mobility data model. Second, several novel data management methods are employed to enhance fetching data in real-time. Then, a query interface and a series of visualization techniques are introduced to improve user's analysis. Finally, a demo system is implemented and some typical cases demonstrate the effectiveness and efficiency of our model.