Vector cellular automata (VCA) are effective models for cadastral-scale land use change
modeling, leveraging fine spatial granularity information from cadastral plot data. The …

Spatial reconstruction and scenario simulation of historical processes and future trends of
land use/cover change (LUCC) can help to reveal the historical background of land …

Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth's surface
over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource …

Land use optimization is a crucial approach for promoting sustainable development.
However, current land use optimization models usually ignore the temporal pattern of land …

This paper introduces a novel cellular automata model that combines Long Short-Term
Memory, Attention, and Neural Network models to capture spatio-temporal Land Use …

The quantitative analysis and prediction of spatiotemporal patterns of land use in Haihe
River Basin are of great significance for land use and ecological planning management. To …

Simulation and prediction of land use cover change (LUCC) in cities can effectively identify
trends in land conversion and support the decision-making process regarding future urban …

Urbanisation is a key aspect of land use change (LUC), and accurately modelling of urban
LUC is crucial for sustainable development. Cellular automata (CA) are widely used in LUC …

The rapid expansion of cities in developing countries has led to many environmental
problems, and the mechanism of urban expansion (UE), as a more complex human-land …

Cellular automata (CA) have been prevalently used for the simulation of urban land change.
However, how to effectively learn the spatial-temporal dynamics of urban development from …