Models in Spatial Analysis (Geographical Information Systems Series)

Models in Spatial Analysis gives a broad overview of the different types of models used in advanced spatial analysis. The models concern spatial organization, location factors and spatial interaction patterns from both static and dynamic perspectives. Each individual author comes from a different discipline (geography, economy, hydrology, ecology, etc,) and is a specialist in the field. They use a range of methods and modeling tools developed in mathematics, statistics, artificial intelligence and physics. Each chapter gives a broad overview of the subject, covering both theoretical developments and practical applications. The advantages of an interdisciplinary approach are illustrated in the way that the viewpoint of each of the individual disciplines are brought together when considering questions relevant to spatial analysis.

1. Modeling concepts used in spatial analysis -F. Durand-Dastès. 2. Geographical scales and multi-dimensional statistical methods -H. Mathian, M. Piron. 3. Location of public services: from theory to application -D. Peeters, I. Thomas. 4. Time-geography: individuals in time and space -S. Chardonnel. 5. The process of spatial diffusion and modeling change -Th. Saint-Julien. 6. Spatial microsimulation models -E. Holm, L. Sanders. 7. Multi-agent simulations of spatial dynamics -J.-P. Treuil, Ch. Mullon, E. Perrier, M. Piron. 8. From image to model: remote sensing and urban modeling -F. Dureau, Ch. Weber. 9. Mathematical formalisation for spatial interactions -A. Franc. 10. Fractals and geography -P. Frankhauser, D. Pumain.