Geographical Models with Mathematica provides a fairly comprehensive overview of the types of models necessary for the development of new geographical knowledge, including stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular automata and for multi-agent systems, all discussed in their theoretical context.

The author then provides 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.

Provides theoretical, stochastic and dynamic system models
Covers data science, both in a spatial and spatio-temporal analysis
Presents a microstructural understanding of the mechanical behavior of granular materials

About the Author

Andre Dauphine is Honorary Dean of the University of Nice Sophia-Antipolis in France, founder member of the Dupont Group and a recognized expert in theoretical and quantitative geography. He is the author of books on the theories of complexity, fractal geography, risks and disasters.

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