Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives
to more classical techniques to model environmental systems. We review some of them and …

The objective of this study is to present a novel tool for predictive modelling of urban growth.
The proposed tool, named iCity–Irregular City, extends the traditional formalization of …

The 2D Cellular Automata model, MAGFLOW, simulates lava flows and an algorithm based
on the Monte Carlo approach solves the anisotropic flow direction problem. The model was …

Land-use is a key factor in hydrological modelling. It controls not only parameters such as
evaporation and runoff from catchments, but also erosion and water quality. This review …

Recent research efforts have focused on the analysis of environmental systems using
cellular models. Although most of the existing solutions are based on the cellular automata …

Seismicity is an extended geophysical characteristic of the Greek dominion. There are
certain areas of high seismic activity, as well as, regions of low seismicity where strong …

Artificial intelligence methods are extensively utilized greatly as substitutes rather than more
classical methods for modeling the environmental frameworks. In this chapter there will be a …

Chagas disease is a vector-borne disease and a major public health concern in Latin
America. To understand the disease dynamics, we investigated the influence of landscape …

The Bahía Blanca Estuary (38° 50′ S, and 62° 30′ W) presents salt marshes where
interactions between the local flora (Sarcocornia perennis) and fauna (Chasmagnathus …

In this work we propose the use of a cellular automata defined on unstructured triangular
grids to simulate geographic spread. A grid structure of a finite element implementation is …