International Journal of Geographical Information Science, Volume 34, Issue 6 (2020)

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International Journal of Geographical Information Science, Volume 34, Issue 6 (2020)

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Big Spatiotemporal Data Analytics

Editorial

Editorial
Big Spatiotemporal Data Analytics: a research and innovation frontier
Chaowei Yang, Keith Clarke, Shashi Shekhar & C. Vincent Tao
Pages: 1075-1088
Published online: 02 Dec 2019
First Page PreviewforBig Spatiotemporal Data Analytics: a research and innovation frontier | Full Text | References | PDF (1.3 MB) | EPUB
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Research Articles

Article
An empirical study on the intra-urban goods movement patterns using logistics big data
Pengxiang Zhao, Xintao Liu, Wenzhong Shi, Tao Jia, Wengen Li & Min Chen
Pages: 1089-1116
Published online: 20 Sep 2018
AbstractforAn empirical study on the intra-urban goods movement patterns using logistics big data | Full Text | References | PDF (4.1 MB) | EPUB
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Article
Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data
Shivangi Srivastava, John E. Vargas Muñoz, Sylvain Lobry & Devis Tuia
Pages: 1117-1136
Published online: 18 Nov 2018
AbstractforFine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data | Full Text | References | PDF (3.6 MB) | EPUB
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Article
Identifying primary public transit corridors using multi-source big transit data
Tong Zhang, Yicong Li, Hui Yang, Chenrong Cui, Jing Li & Qinghua Qiao
Pages: 1137-1161
Published online: 17 Dec 2018
AbstractforIdentifying primary public transit corridors using multi-source big transit data | Full Text | References | PDF (3 MB) | EPUB
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Article
Mining spatiotemporal association patterns from complex geographic phenomena
Zhanjun He, Min Deng, Jiannan Cai, Zhong Xie, Qingfeng Guan & Chao Yang
Pages: 1162-1187
Published online: 01 Feb 2019
AbstractforMining spatiotemporal association patterns from complex geographic phenomena | Full Text | References | PDF (3.5 MB) | EPUB
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Article
SOVAS: a scalable online visual analytic system for big climate data analysis
Zhenlong Li, Qunying Huang, Yuqin Jiang & Fei Hu
Pages: 1188-1209
Published online: 22 Apr 2019
AbstractforSOVAS: a scalable online visual analytic system for big climate data analysis | Full Text | References | PDF (3.4 MB) | EPUB | Supplemental
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Article
Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation
Shuhui Gong, John Cartlidge, Ruibin Bai, Yang Yue, Qingquan Li & Guoping Qiu
Pages: 1210-1234
Published online: 19 Jul 2019
AbstractforExtracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation | Full Text | References | PDF (3.3 MB) | EPUB
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Article
Data-driven approach to characterize urban vitality: how spatiotemporal context dynamically defines Seoul’s nighttime
Young-Long Kim
Pages: 1235-1256
Published online: 25 Nov 2019
AbstractforData-driven approach to characterize urban vitality: how spatiotemporal context dynamically defines Seoul’s nighttime | Full Text | References | PDF (2.2 MB) | EPUB
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