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 …

Spatial pattern of urban land plays a significant role in the occurrence of pluvial floods. While
landscape metrics have been widely used to reflect land use spatial patterns, the …

Cellular automaton (CA) is a widely-used tool for modeling land-use changes that can
enhance our understanding of past and future urban development. Previous studies have …

Land use projections are crucial for climate models to forecast the impacts of land use
changes on the Earth's system. However, the spatial resolution of existing global land use …

Carbon storage in terrestrial ecosystems varies with land use changes, and exploring the
impact of land use changes on carbon storage in regional terrestrial ecosystems is important …

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 …

Environmental managers and policymakers increasingly discuss trade-offs between
ecosystem services (ESs). However, few studies have used nonlinear models to provide …

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 …

Rapid urban expansion, accompanied by intense landscape changes, significantly affects
natural habitats. Promoting sustainable urban development, such as the compact city …

The conflict between socio-economic development and ecological protection results in large
areas of illegal land use within ecological spaces. Determining the spatial patterns and …