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Geographic Space as a Living Structure for Predicting Human Activities Using Big Data
Jiang, Bin
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Computer and Geospatial Sciences, Geospatial Sciences.
ORCID iD:
0000-0002-2337-2486
Ren, Zheng
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Computer and Geospatial Sciences, Geospatial Sciences.
ORCID iD:
0000-0003-0794-0110
2019 (English)
In:
Mobility patterns, big data and transport analytics: Tools and applications for modeling / [ed] Antoniou, C Dimitriou, L Pereira, F, Elsevier , 2019, p. 55-72
Chapter in book (Refereed)
Place, publisher, year, edition, pages
Elsevier , 2019. p. 55-72
National Category
Civil Engineering
Identifiers
URN:
urn:nbn:se:hig:diva-33454
DOI:
10.1016/B978-0-12-812970-8.00004-X
ISI:
000488579000004
Scopus ID:
2-s2.0-85092593655
ISBN:
978-0-12-812971-5 (print)
ISBN:
978-0-12-812970-8 (electronic)
OAI: oai:DiVA.org:hig-33454
DiVA, id:
diva2:1464035
Available from:
2020-09-03
Created:
2020-09-03
Last updated:
2024-05-21
Bibliographically approved
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Jiang, Bin
Ren, Zheng
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harvard-cite-them-right
ieee
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harvard-cite-them-right
ieee
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