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Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata
Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata
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Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata

Zhai, Yaqian ; Yao, Yao ; Guan, Qingfeng ; Liang, Xun ; Li, Xia ; Pan, Yongting ; Yue, Hanqiu ; Yuan, Zehao ; Zhou, Jianfeng

International journal of geographical information science : IJGIS, 2020-07, Vol.34 (7), p.1475-1499 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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Classifying urban land use by integrating remote sensing and social media data
Classifying urban land use by integrating remote sensing and social media data
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Classifying urban land use by integrating remote sensing and social media data

Liu, Xiaoping ; He, Jialv ; Yao, Yao ; Zhang, Jinbao ; Liang, Haolin ; Wang, Huan ; Hong, Ye

International journal of geographical information science : IJGIS, 2017-08, Vol.31 (8), p.1675-1696 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model
Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model
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Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model

Liang, Xun ; Liu, Xiaoping ; Li, Dan ; Zhao, Hui ; Chen, Guangzhao

International journal of geographical information science : IJGIS, 2018-11, Vol.32 (11), p.2294-2316 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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A new insight into land use classification based on aggregated mobile phone data
A new insight into land use classification based on aggregated mobile phone data
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A new insight into land use classification based on aggregated mobile phone data

Pei, Tao ; Sobolevsky, Stanislav ; Ratti, Carlo ; Shaw, Shih-Lung ; Li, Ting ; Zhou, Chenghu

International journal of geographical information science : IJGIS, 2014-09, Vol.28 (9), p.1988-2007 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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5
Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories
Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories
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Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories

Li, Wenwen ; Wang, Shaohua ; Zhang, Xiaoyi ; Jia, Qingren ; Tian, Yuanyuan

International journal of geographical information science : IJGIS, 2020-12, Vol.34 (12), p.2451-2474 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns
Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns
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Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns

Tu, Wei ; Cao, Jinzhou ; Yue, Yang ; Shaw, Shih-Lung ; Zhou, Meng ; Wang, Zhensheng ; Chang, Xiaomeng ; Xu, Yang ; Li, Qingquan

International journal of geographical information science : IJGIS, 2017-12, Vol.31 (12), p.2331-2358 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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7
Incorporating spatial interaction patterns in classifying and understanding urban land use
Incorporating spatial interaction patterns in classifying and understanding urban land use
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Incorporating spatial interaction patterns in classifying and understanding urban land use

Liu, Xi ; Kang, Chaogui ; Gong, Li ; Liu, Yu

International journal of geographical information science : IJGIS, 2016-02, Vol.30 (2), p.334-350 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types
The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types
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The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types

Zhang, Jinbao ; Li, Xia ; Yao, Yao ; Hong, Ye ; He, Jialyu ; Jiang, Zhangwei ; Sun, Jianchao

International journal of geographical information science : IJGIS, 2021-01, Vol.35 (1), p.193-211 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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9
Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata
Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata
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Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata

Yao, Yao ; Liu, Xiaoping ; Li, Xia ; Liu, Penghua ; Hong, Ye ; Zhang, Yatao ; Mai, Ke

International journal of geographical information science : IJGIS, 2017-12, Vol.31 (12), p.2452-2479 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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10
Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques
Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques
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Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques

He, Jialv ; Li, Xia ; Yao, Yao ; Hong, Ye ; Jinbao, Zhang

International journal of geographical information science : IJGIS, 2018-10, Vol.32 (10), p.2076-2097 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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