Dachuan Zhang

Multiple intra-urban land use simulations and driving factors analysis: a case study in Huicheng, China

Yao Yao, Dachuan Zhang, Xiaoping Liu, 2018, GIScience & Remote Sensing.

Integrating a deep forest algorithm with vector‐based cellular automata for urban land change simulation

Xinchang Zhang, Dachuan Zhang, Xiaoping Liu, 2022, Trans. GIS.

Identifying different types of urban land use dynamics using Point-of-interest (POI) and Random Forest algorithm: The case of Huizhou, China

Dachuan Zhang, Shaojian Wang, Jieyu Wang, 2021, Cities.

Accurate Estimation of the Proportion of Mixed Land Use at the Street-Block Level by Integrating High Spatial Resolution Images and Geospatial Big Data

Dachuan Zhang, Xia Li, Jinbao Zhang, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Spatial Autoregressive Analysis and Modeling of Housing Prices in City of Toronto

E. Miller, Dachuan Zhang, Yu Zhang, 2021 .

The delineation of urban growth boundaries in complex ecological environment areas by using cellular automata and a dual-environmental evaluation

Xinchang Zhang, Xiaoping Liu, Ziyu Lin, 2020 .

Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China

Dachuan Zhang, Xiaoping Liu, Xinxin Wu, 2022, GIScience & Remote Sensing.

Simulating multiple urban land use changes by integrating transportation accessibility and a vector-based cellular automata: a case study on city of Toronto

Dachuan Zhang, Xiaoping Liu, Xinxin Wu, 2022, Geo spatial Inf. Sci..