Developments In Ecological Modeling Based On Cellular Automata

Abstract

The models with focus on spatial clumping generally fail to consider the effects of local interactions and spatial contrasting. These factors are sometimes conclusive to the developments of ecosystems. Cellular Automata are individual potent systems in which many simple components act together locally to bring complex patterns, which may explain “self-organizing” behavior. Since cellular automaton has ability to consider local influences and spatial disparateness, it has been applied to various fields. This paper attempts to highlight important aspects of Cellular Automata and is centered on the development and application of the approach to ecological modeling. The results indicate that spatially distinct models such as cellular automata have a special capacity to connect the local operations and universal figures hence resulting in complex patterns.

Keywords: Cellular automata, ecological modeling, spatially contrasting