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 …

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 …

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 …

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 …

The preservation of riparian zones and other environmentally sensitive areas has long been
recognized as one of the most cost-effective methods of managing stormwater and providing …

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 …

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 …

This study compares land suitability index (LSI) maps created using a geographic
information system (GIS) with frequency ratio (FR), analytical hierarchy process (AHP) …

Wildfires influence terrestrial carbon cycling and represent a safety risk, and yet a process-
based understanding of their frequency and spatial distributions remains elusive. We …

Human population continues to aggregate in urban centers. This inevitably increases the
urban footprint with significant consequences for biodiversity, climate, and environmental …