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All scientists develop models. Geographers build models to understand and explain the relationships between societies and their environment, the locations of objects, people and activities, and the organization of spaces and territories. This book provides a fairly comprehensive overview of the types of models necessary for the development of new geographical knowledge : stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular automata and for multi-agent systems.
All these models are first discussed in their theoretical context. The author goes on to provide over 65 programs, written in the Mathematica language, that formalize these models. Case studies are provided to help the reader apply these programs to their own studies.