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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-1/W2-2023
https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-383-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-383-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
13 Dec 2023
| 13 Dec 2023
SPATIAL INTERACTION ANALYSIS OF URBAN FUNCTIONAL DISTRICTS BASED ON TAXI TRAJECTORIES
Y. Zhang
National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Hubei Luojia Laboratory, Wuhan, Hubei, 430072, China
W. Liu
National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Hubei Luojia Laboratory, Wuhan, Hubei, 430072, China
X. Zhu
National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Hubei Luojia Laboratory, Wuhan, Hubei, 430072, China
Y. Peng
National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Hubei Luojia Laboratory, Wuhan, Hubei, 430072, China
R. Li
National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Hubei Luojia Laboratory, Wuhan, Hubei, 430072, China
T. Zhao
National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Hubei Luojia Laboratory, Wuhan, Hubei, 430072, China
X. Wang
National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Hubei Luojia Laboratory, Wuhan, Hubei, 430072, China
X. Zhai
National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Hubei Luojia Laboratory, Wuhan, Hubei, 430072, China
X. Di
National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China
H. Xu
High-Tech Research & Development Center (HTRDC) of the Ministry of Science & Technology, P.R.C., No.1 Sanlihe Road, Beijing, 100044, China
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2407–2410, https://doi.org/10.5194/isprs-archives-XLII-3-2407-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2407-2018, 2018
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2435–2438, https://doi.org/10.5194/isprs-archives-XLII-3-2435-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2435-2018, 2018
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