Cellular automata (CA) have been widely used to simulate urban expansion. However,
previous studies rarely explored how to extract transition rules from time-series urban extent …

Cellular automata (CA)-based models have been extensively used in urban expansion
modeling because of their simplicity, flexibility and intuitiveness. Previous studies on CA …

Along with the gradually accelerated urbanization process, simulating and predicting the
future pattern of the city is of great importance to the prediction and prevention of some …

Based on multi-structures convolutional neural networks, this paper proposes an urban
expansion cellular automata model (MSCNN-CA) considering the multi-scale neighborhood …

Simulation models based on cellular automata (CA) are widely used for understanding and
simulating complex urban expansion process. Among these models, logistic CA (LCA) is …

Cellular automata (CA) models are used to analyze and simulate the global phenomenon of
urban growth. However, these models are characterized by ignoring spatially …

The simulation of urban expansion has become an important means to assist urban
development planning and ecological sustainable development. However, the spatial and …

Urban systems are featured by spatial autocorrelation, which may produce clustering of
model residuals when simulating urban expansion using cellular automata (CA). Accurate …

Rapid urban expansion has seriously threatened ecological security and the natural
environment on a global scale, thus, the simulation of dynamic urban expansion is a hot …

Land use change (LUC) has gained attention as a core topic of global ecological
environment change research. The cellular automata (CA) model affects the global layout …