Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院
Journal:Lect. Notes Comput. Sci.
Abstract:Mobile phone data contain the information of each interaction between mobile phones and telecommunication infrastructures. These data provide a wealth of information about urban dynamics and human activities since each mobile phone can be seen as a sensor that senses the geographic position of the subscriber holder in real time. In this paper, we introduce an open-source and web-based data visualization tool for analyzing and displaying people flow information using mobile phone data. The developed tool provides users a user-friendly interface for data visualization. We demonstrate how to install and display this tool by using real mobile phone data. © 2019, Springer Nature Switzerland AG.
ISSN No.:0302-9743
Translation or Not:no
Date of Publication:2019-01-01
Co-author:Chen, Liangjian,Chen, Siyu,Guo, Shengnan,Yang, Yue
Correspondence Author:xjq