Visualising Shanghai’s urban sprawl with big data

Zhou, Jiangping and Zhang, Tianran (2016) Visualising Shanghai’s urban sprawl with big data. Environment and Planning A, 48 12: 2364-2366. doi:10.1177/0308518X16635654

Author Zhou, Jiangping
Zhang, Tianran
Title Visualising Shanghai’s urban sprawl with big data
Journal name Environment and Planning A   Check publisher's open access policy
ISSN 0308-518X
Publication date 2016-02-10
Year available 2016
Sub-type Article (original research)
DOI 10.1177/0308518X16635654
Open Access Status Not Open Access
Volume 48
Issue 12
Start page 2364
End page 2366
Total pages 3
Place of publication London, United Kingdom
Publisher Sage
Language eng
Subject 3305 Geography, Planning and Development
2301 Environmental Science (miscellaneous)
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Published online before print February 24, 2016,

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
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Created: Wed, 24 Feb 2016, 01:57:03 EST by Jiangping Zhou on behalf of School of Geography, Planning & Env Management