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GIScience & Remote Sensing Volume 54, 2017 - Issue 5
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Discovering spatial and temporal patterns from taxi-based Floating Car Data: a case study from Nanjing

Jingwei ShenChongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing400715, PR ChinaView further author information
,
Xintao LiuThe Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, Kowloon, HKSARView further author information
&
Min ChenKey Laboratory of Virtual Geographic Environment, Ministry of Education of PRC, Nanjing Normal University, Nanjing210023, PR China;State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing Normal University, Nanjing210023, PR China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing210023, PR ChinaCorrespondence[email protected]
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Pages 617-638 | Received 13 Nov 2016, Accepted 16 Mar 2017, Published online: 29 Mar 2017

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Haoran Wang, Haiping Zhang, Hui Zhu, Fei Zhao, Shangjing Jiang, Guoan Tang & Liyang Xiong. (2023) A multivariate hierarchical regionalization method to discovering spatiotemporal patterns. GIScience & Remote Sensing 60:1.
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Pengxiang Zhao, Xintao Liu, Jingwei Shen & Min Chen. (2019) A network distance and graph-partitioning-based clustering method for improving the accuracy of urban hotspot detection. Geocarto International 34:3, pages 293-315.
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