Cellular Automata (CA) are widely used to model the dynamics within complex land use and
land cover (LULC) systems. Past CA model research has focused on improving the technical …

Modeling land use land cover (LULC) change is crucial to understand its spatiotemporal
trends to protect the land resources sustainably. The appraisal of this study was to model …

Rapid urbanization at the expense of the environment led to a reduction in vegetation cover,
and consequently aggravated land degradation, urban water logging, heat island effect and …

Land use and cover change (LUCC) can often threaten urban ecological space and cause
enormous impacts on the ecosystem, and sustainable ecological security patterns (ESPs) …

Urban growth and land-use change are a few of many puzzling factors affecting our future
cities. Creating a precise simulation for future land change is a challenging process that …

When used for land use change modeling, Cellular Automata (CA) usually assume that each
cell has only one land use type at each time step, ignoring the mixed land use structures that …

Land use planning has the potential to diminish carbon storages and exacerbate carbon
emissions, and therefore improving its contribution to achieve carbon neutrality should be a …

In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of
landscape types. Analyzing and simulating spatio-temporal dynamic features of urban …

Cellular automata (CA) model is a useful tool for simulating spatiotemporal changes of land-
use evolution. However, previous CA models have usually ignored the inhomogeneous and …

Vector-based cellular automata (VCA) models have been applied in land use change
simulations at fine scales. However, the neighborhood effects of the driving factors are rarely …