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Discovering Urban Functional Areas Based on Node2vec-Taking Shanghai as an Example

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成果类型:
会议论文
作者:
Sun, Yang;Deng, Hanhan;Zhao, Ling;Li, Sumin*;Zhang, Zhenshi;...
通讯作者:
Li, Sumin
作者机构:
[Sun, Yang] 72465 Unit PLA, Jinan 250022, Shandong, Peoples R China.
[Zhao, Ling; Deng, Hanhan] Cent South Univ Technol, Sch Geogsci & Infophys, Changsha 410083, Hunan, Peoples R China.
[Li, Sumin] Changsha Univ Sci & Technol, Sch Architecture, Changsha 610059, Hunan, Peoples R China.
[Zhang, Zhenshi] Natl Univ Def Technol, Coll Basic Educ, Changsha 410073, Hunan, Peoples R China.
[Du, Ronghua; Hou, Zhixiang] Changsha Univ Sci & Technol, Sch Vehicle & Mech Engn, Changsha 610059, Hunan, Peoples R China.
通讯机构:
[Li, Sumin] C
Changsha Univ Sci & Technol, Sch Architecture, Changsha 610059, Hunan, Peoples R China.
语种:
英文
关键词:
Node2vec, Network embedding, Urban functional areas, Spatial structure
期刊:
2018 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2018)
ISSN:
1949-1263
年:
2018
页码:
195-199
会议名称:
2018 11th International Conference on Intelligent Computation Technology and Automation (ICICTA)
会议论文集名称:
2018 11th International Conference on Intelligent Computation Technology and Automation (ICICTA)
会议时间:
September 2018
会议地点:
Changsha, China
出版者:
IEEE
ISBN:
978-1-5386-8309-5
基金类别:
National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71601182, 41571397, 41501442, 51678077]; Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [2016JJ3144, 2016JJ2006]; Open Research Fund Program of Shenzhen Key Laboratory of Spatial Smart Sensing and Services (Shenzhen University); Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education MinistryScientific Research Foundation for the Returned Overseas Chinese Scholars [50-20150618]
机构署名:
本校为通讯机构
院系归属:
汽车与机械工程学院
建筑学院
摘要:
As China's urbanization process continues to advance and deepen, the spatial structure within each city is changing constantly. Analyzing the hidden relationship between human and land behind the massive urban data is a hot topic. In this paper, we apply the idea of network embedding to urban geography. The high-dimensional urban human activity data is embedded into the low-dimensional space (feature space) using the node2vec method. Compared to the traditional method of directly using high dimensional data analysis, node2vec can better detect the spatial relationship and structure of the netw...

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