Although there are several articles that have carried out a systematic literature review of the
analytical hierarchy process (AHP), many of them work with a limited number of analyzed …

In recent years, cellular automata (CA) models for urban growth simulation have proliferated
because of their simplicity, flexibility and intuitiveness, and particularly because of their …

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 …

The multi-scenario simulation of urban land can effectively reveal the characteristics and
trends of changes in urban space and the contradictions of land use in urban sustainable …

This book provides a comprehensive discussion on urban growth and sprawl, and how they
can be analyzed using remote sensing imageries. It compiles views of numerous …

Geography is the study of relations between society and the natural environment.
Geography looks at how society shapes, alters and increasingly transforms the natural …

This paper presents a new method to simulate the evolution of multiple land uses based on
the integration of neural networks and cellular automata using GIS. Simulation of multiple …

Scientists need a better and larger set of tools to validate land-use change models, because
it is essential to know a model's prediction accuracy. This paper describes how to use the …

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 …

Cities are located at the intersection of global interactions and analytical modeling of space
is an essential progression to understand the organizational structure of today's cities, which …