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Vis Inf  2017, Vol. 1 Issue (1): 57-64    DOI: 10.1016/j.visinf.2017.01.007
论文     
对人群流动和接触模式进行可视化的时空流图
Bing Nia,b, Qiaomu Shena, Jiayi Xua, Huamin Qua
a Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong; 
b Noah’s Ark Lab, Huawei Technologies, Room 525-530, Core Building 2, HKSP, Shatin, Hong Kong
Spatio-temporal flow maps for visualizing movement and contact patterns
Bing Nia,b, Qiaomu Shena, Jiayi Xua, Huamin Qua#br#
1 Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;
2 Noah’s Ark Lab, Huawei Technologies, Room 525-530, Core Building 2, HKSP, Shatin, Hong Kong
 全文: PDF 
摘要: 背景: 先进的电信技术和海量的智能手机用户产生了巨大数量的实时个人综合电信记录数据,称之为电信大数据。依靠电信大数据和城市的领域知识,我们可以分析超大规模的人群移动和接触模式。流图被广泛用来显示人群从某个点到多个目的地的移动过程,但是,它无法同时可视化人群的移动和接触数据。分析人员通常需要边比较,边检查,并进行各种定量分析。

创新:本文提出了一种新的时空流图布局,可展现来自不同地点的人何时、何地进入同一地点进行接触。我们还将时空流图整合到现有的时空可视化技术中,形成了一整套对运动和接触模式可视化的技术。

结果:本文的设计和技术能够很好地揭示出隐藏的信息,并能有效地进行分析。

关键词: 时空数据流图城市机动性    
Abstract:
The advanced telecom technologies and massive volumes of intelligent mobile phone users have yielded a huge amount of real-time data of people’s all-in-one telecommunication records, which we call telco big data. With telco data and the domain knowledge of an urban city, we are now able to analyze the movement and contact patterns of humans in an unprecedented scale. Flow map is widely used to display the movements of humans from one single source to multiple destinations by representing locations as nodes and movements as edges. However, it fails the task of visualizing both movement and contact data. In addition, analysts often need to compare and examine the patterns side by side, and do various quantitative analysis. In this work, we propose a novel spatio-temporal flow map layout to visualize when and where people from different locations move into the same places and make contact. We also propose integrating the spatiotemporal flow maps into existing spatiotemporal visualization techniques to form a suite of techniques for visualizing the movement and contact patterns. We report a potential application the proposed techniques can be applied to. The results show that our design and techniques properly unveil hidden information, while analysis can be achieved efficiently.
Key words: Spatio-temporal data    Flow map    Urban mobility
出版日期: 2017-07-06
基金资助:
This project is partially funded by a grant (Ref: YBCB2009041-44) by Huawei Technologies Noah’s Ark Lab and also grant HK RGC GRF16241916.
通讯作者: Huamin Qu     E-mail: huamin@cse.ust.hk
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引用本文:

Bing Ni, Qiaomu Shen, Jiayi Xu, Huamin Qu. Spatio-temporal flow maps for visualizing movement and contact patterns. Vis Inf, 2017, 1(1): 57-64.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2017.01.007        http://www.zjujournals.com/vi/CN/Y2017/V1/I1/57

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