Zhaotang Liang

According to our database, Zhaotang Liang authored at least 7 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level.

Yao Yao, Linlong Li, Zhaotang Liang, Tao Cheng, Zhenhui Sun, Peng Luo, Qingfeng Guan, Yaqian Zhai, Shihao Kou, Yuyang Cai, Lefei Li, Xinyue Ye

CoRR, 2021

2020

Analyzing the Effects of Rainfall on Urban Traffic-Congestion Bottlenecks.

Yao Yao, Daiqiang Wu, Ye Hong, Dongsheng Chen, Zhaotang Liang, Qingfeng Guan, Xun Liang, Liangyang Dai

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019

Fine-scale intra- and inter-city commercial store site recommendations using knowledge transfer.

Yao Yao, Penghua Liu, Ye Hong, Zhaotang Liang, Ruoyu Wang, Qingfeng Guan, Jingmin Chen

Trans. GIS, 2019

A human-machine adversarial scoring framework for urban perception assessment using street-view images.

Yao Yao, Zhaotang Liang, Zehao Yuan, Penghua Liu, Yongpan Bie, Jinbao Zhang, Ruoyu Wang, Jiale Wang, Qingfeng Guan

Int. J. Geogr. Inf. Sci., 2019

2017

Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data.

Yao Yao, Xiaoping Liu, Xia Li, Jinbao Zhang, Zhaotang Liang, Ke Mai, Yatao Zhang

Int. J. Geogr. Inf. Sci., 2017

Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model.

Yao Yao, Xia Li, Xiaoping Liu, Penghua Liu, Zhaotang Liang, Jinbao Zhang, Ke Mai

Int. J. Geogr. Inf. Sci., 2017

Simulation of Urban Expansion and Farmland Loss in China by Integrating Cellular Automata and Random Forest.

Yao Yao, Xiaoping Liu, Dachuan Zhang, Zhaotang Liang, Yatao Zhang

CoRR, 2017