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10.1080/13658816.2020.1726923
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The Traj2Vec model to quantify residents’ spatial trajectories and estimate the proportions of urban land-use types
Jinbao Zhang
Xia Li
Yao Yao
Ye Hong
Jialyu He
Zhangwei Jiang
Jianchao Sun
Taylor & Francis
International Journal of Geographical Information Science, 2020. doi:10.1080/13658816.2020.1726923
Mixed urban land-use patterns
mobile phone positioning data
residents’ spatial trajectories
traj2vec
geo-semantic mining
Journal
International Journal of Geographical Information Science
© 2020 Informa UK Limited, trading as Taylor & Francis Group
1365-8816
1362-3087
00
00
1
19
10.1080/13658816.2020.1726923
https://doi.org/10.1080/13658816.2020.1726923
VoR
2020-02-11T09:26:25+05:30
Arbortext Advanced Print Publisher 11.0.3433/W Unicode
2020-02-12T00:01:01-08:00
2020-02-12T00:01:01-08:00
Mixed urban land-use patterns; mobile phone positioning data; residents’ spatial trajectories; traj2vec; geo-semantic mining
iText 4.2.0 by 1T3XT
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2020-02-11truewww.tandfonline.com10.1080/13658816.2020.1726923www.tandfonline.comtrue2020-02-1110.1080/13658816.2020.1726923
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