Along with fellow students Ian Tout and Christoph Massius I created a geocomputation deforestation model using starlogo. The aim of the project was to model selective mahogany logging in rainforest regions. The model is an incredibly simplified view of reality but was a useful excercise in gaining an understanding of agent-based modelling.
In this model the agents are logging teams moving randomly through the forest until they come across a mahagony tree. When this occurs the mahagony tree is logged and a path is created back to the existing network of paths using a choice of two shortest-path algorithms.
The number of logging teams, mahogany trees and logger energy is set at the start of the model runtime. Logger energy controls how long a logging team will search beyond the existing path network before giving up.
The starlogo file can be found here
and starlogo can be downloaded here