Geographical Models with Mathematica

by Andre Dauphine

Overview

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.

Product Details

ISBN-13:	9781785482250
Publisher:	Elsevier Science
Publication date:	02/01/2017
Pages:	314
Product dimensions:	6.00(w) x 9.00(h) x (d)

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.

Table of Contents

Part 1: Modeling the Relationships between Societies and Nature
Introduction
1. The Theoretical Context of Classical Geography
2. Statistical and Probability Models for Given Relationships Between Societies and the Natural Environment
3. Models of Ordinary Dynamic Systems

Part 2: Modeling Geographic Locations
Introduction
4. Theories of Geographical Locations
5. Theoretical Geolocation Models

Part 3: Spatial Structures and Territorial Dynamics
Introduction
6. Theories Used to Understand Territorial Structures and Dynamics
7. Models of Basic Structures: Points and Fields
8. Models of Basic Structures: Networks
9. Geographical Space as a Mixture of Basic Spatial Structures
10. Morphogenetic Macro- and Micro-models

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From the Publisher

A comprehensive overview of the geographical models used in geography and geosciences