Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Geo-Information Science》 2017-08
Add to Favorite Get Latest Update

A Multi-scale Visualization Method for the Trajectory Origin-Destination Data

JIN Cheng;CHEN Yuanyuan;YANG Min;Information Engineering University;Xi′an Research Institute of Surveying and Mapping;Institute of Remote Sensing & Geographical Information System, Peking University;Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources;School of Resource and Environmental Sciences, Wuhan University;  
Based on the taxi trajectory data from the city of Beijing, this study proposes a multi-scale visualization approach for trajectory OD(Origin-Destination) data. First, we extract OD points from initial trajectory raw data eliminating invalid points. Then, the distribution space of OD data is subdivided by density analysis and administrative unit aggregation. Finally, we define relevant parameters to summarize inherent OD flow pattern and customize their presentation of multi-scale visualization. In the process above, three regionalization results, which correspond to block level, business district level and district level, are obtained by setting different values of the minimal area of the aggregated region. Therefore, representations at three different scales can be outputted. The experimental results confirmed that our method could effectively achieve the reduction of trajectory big data and reveal mobility pattern, which is helpful for future decision making.
【Key Words】: trajectory data multi-scale visualization flow pattern clustering and regionalization
【Fund】: 国家自然科学基金项目(41401447);; 国土资源部城市土地资源监测与仿真重点实验室开放基金项目(KF-2016-02-020);; 国家高技术研究发展计划(“863”)项目(2015AA124103)
【CateGory Index】: P208;P228.4
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved