The integration of food-energy-water (FEW) sectors is essential for addressing the co-
evolution of urban infrastructure systems during urban growth. But how these evolutionary …

The study of land use change in urban and regional systems has been dramatically
transformed in the last four decades by the emergence and application of cellular automata …

Land use and land cover change (LUCC) has important impacts on the functioning of
socioeconomic and environmental systems with important tradeoffs for sustainability, food …

The dynamics of the Atlantic Rainforest loss and recovery are still not fully understood
despite its long history of human occupation. In this study, we investigated changes in an …

This paper presents an artificial intelligence approach integrated with geographical
information systems (GISs) for modeling urban evolution. Fuzzy logic and neural networks …

Spatial models of urban growth have the ability to play an important role in the planning
process; if not in aiding in policy decisions, then in processes such as visioning, storytelling …

Cellular automata (CA) are individual-based models in which states, time, and space are
discrete. Spatiotemporal dynamics emerge from the simple and local interactions of the …

Based on questionnaire surveys and the AHP method, this paper determines the driving
forces of urban sprawl and analyzes their relative influence on sprawl in the middle, north …

Cellular automata (CA) and artificial neural networks (ANNs) have been used by
researchers over the last three decades to simulate land-use change (LUC). While …