This dissertation presents a spatiotemporal land-change model that represents decision making in the context of socioeconomic and ecological forces for the southern Yucatán peninsular region of Mexico. It integrates decision-making theories and considers land-use and land-cover change modeling techniques. It then describes a modeling framework that supports agent-based modeling and cellular modeling of land-change, the SYPR Integrated Assessment. This application focuses on the use of genetic programming to represent decision making.

For more information, contact Steven Manson (manson 'at' umn.edu) or visit the website (www.stevenmanson.com).