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. |