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Models in Spatial Analysis

London, ISTE, 2007

This title provides 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 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.
The authors of the chapters come from a range of different disciplines (geography, economics, hydrology, ecology, etc.) and are specialists in their field. They use a range of methods and modeling tools developed in mathematics, statistics, artificial intelligence and physics.


1. Modeling concepts used in spatial analysis, François Durand-Dastès.
2. Geographical scales and multidimensional statistical methods, Hélène Mathian and Marie Piron.
3. Location of public services: from theory to application, Dominique Peeters and Isabelle Thomas.
4. Time-geography: individuals in time and space, Sonia Chardonnel.
5. The process of spatial diffusion and modeling change, Thérèse Saint-Julien.
6. Spatial microsimulation models, Einar Holm and Lena Sanders.
7. Multi-agent simulations of spatial dynamics, Jean-Pierre Treuil, Christian Mullon, Edith Perrier and Marie Piron.
8. From image to model: remote sensing and urban modeling, Françoise Dureau and Christiane Weber.
9. Mathematical formalization for spatial interactions, Alain Franc.
10. Fractals and geography, Pierre Frankhauser and Denise Pumain.

Editor : London, ISTE

Updated on : 22 April 2015


Géographie-cités 2011, All rights reserved