Abstract Cellular Automata (CA) & Markov-Chain modeling are concepts that are utilized in
numerous branches of science. Powerful as they are independently, these two theoretical …

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 …

Climate change (CC) and urban heat island (UHI) are important environmental forces that
have serious consequences for the existing buildings, such as increased resource …

Scenario analysis of urban dynamics from spatial land use models can support urban,
planning and policy. An integrated modeling approach, linking assessment of urban spatial …

Due to the increase in future uncertainty caused by rapid environmental, societal, and
technological change, exploring multiple scenarios has become increasingly important in …

Optimization of cellular automata (CA) using swarm intelligence is an effective approach to
establish optimal models for urban growth modeling. This study builds a new CA model (CA …

Although the neighborhood of the cellular automata (CA) model has been studied in detail,
there is a contradiction in the selection of the neighborhood size that has not been revealed …

For urban growth modeling, assessment metrics derived from cell-by-cell comparisons are
mainly related to the size of the study area and the urban growth rate. Non-urban areas …

Cellular automata (CA) is a bottom-up modeling framework that has increasingly been
applied to simulate land use change by capturing its dynamics. Metaheuristics such as …

Fine-scale urban simulation obtained through vector-based cellular automata (VCA) can
provide more authentic parcel-level maps to aid urban planning. However, two aspects of …