This paper presents an urban land-use simulation model using cellular automata (CA). In
the model urban growth is regarded as the result of a global process underpinned by local …

Cellular Automata (CA) is widely used for the simulation of land use changes. This study
applied a vector-based CA model to simulate land use change in order to minimize or …

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 …

Cellular automata (CA) model has become one of the most widely used spatial explicit
methods for simulating land use change in recent decades. There are many CA models that …

Traditional cell-based cellular automata (CA) models use a regular cellular grid to represent
geographic space, and new approaches to CA models have explored the use of a vector …

Cellular automata (CA) models of spatial change have been developed and applied in the
context of large regional or metropolitan areas and usually use regular cells, with spatial …

In recent decades several methods have been proposed to simulate land-use changes in a
spatially explicit way. In these models land is generally represented on a lattice with cell …

One of the most potentially useful applications of cellular automata (CA) from the point of
view of spatial planning is their use in simulations of urban growth at local and regional …

Recent approaches to modeling urban growth use the notion that urban development can
be conceived as a self-organizing system in which natural constraints and institutional …

Urban development is a process that becomes increasingly complex as the city evolves and
in which unexpected events can happen which may alter the envisaged trend over time. To …