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 …

Urban growth models have been developed and extensively adopted to study urban
expansion and its impact on the ambient environment. These models can be employed in …

Land use and land cover change (LUCC) simulation models are effective and reproducible
tools for analyzing both the causes and consequences of future landscape dynamics under …

Urban growth boundaries (UGBs) have been commonly regarded as a useful tool for
controlling urban sprawl. There is a need to create models that can establish plausible …

Global land-use and land-cover change (LUCC) data are crucial for modeling a wide range
of environmental conditions. So far, access to high-resolution LUCC products at a global …

Urban land-use change is affected by urban planning and government decision-making.
Previous urban simulation methods focused only on planning constraints that prevent urban …

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 …

Traditional urban cellular automata (CA) model can effectively simulate infilling and edge-
expansion growth patterns. However, most of these models are incapable of simulating the …

Cellular automata (CA) have been used to understand the complexity and dynamics of
cities. The logistic cellular automaton (Logistic-CA) is a popular urban CA model for …

Based on the Web of Science core collection database, this paper retrieves 1273 research
papers on urban expansion published during the period of 1990–2019. Thematic …