Cellular automata (CA) models are in growing use for land-use change simulation and
future scenario prediction. It is necessary to conduct model assessment that reports the …

Cellular automata (CA) have been widely used for simulating realistic urban growth. With the
increasing availability of multitemporal land-use data, there remains challenges in how to …

Despite the recognition of cellular automata (CA) as a flexible and powerful tool for urban
growth simulation, the calibration of CA had been largely heuristic until recent efforts to …

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 …

The cellular automata (CA) model is an important tool in land use studies. Scale is a central
concept in both land use research and CA models. To better understand the connection …

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 …

An increasing number of models for predicting land use change in rapidly urbanizing
regions are being proposed and built using ideas from cellular automata (CA). Calibrating …

Cellular automata (CA) have emerged as a primary tool for urban growth modeling due to its
simplicity, transparency, and ease of implementation. Sensitivity analysis is an important …

Many methods can be used to construct geographical cellular automata (CA) models of
urban land use, but most do not adequately capture spatial heterogeneity in urban …

The study of land use change in urban and regional systems has been dramatically
transformed in the last four decades by the emergence and application of cellular automata …