A Spatio-morphological Modelling for Spread Predicting
Christine Voiron-Canicio1 
| (1) |
Université de Nice Sophia Antipolis – CNRS – UMR ESPACE, 98 Boulevard Edouard Herriot, BP 3209, 06204 Nice, France |
Abstract
The purpose of this paper is to present a new modelling approach which deals with the spatial spreading of built-up areas,
on a local or regional scale. Our spatial modelling is similar to cellular automata but differs in the use of image processing
method and mathematical morphology algorithms. In this model, the spatial spread process depends on both proximity and morphology
of the built-up areas located in a space whose configuration also determines the shape of the spatial spread. These features
explain the “spatio morphological” qualifier given to this model. This paper firstly presents the spatio-morphological modelling
approach and the steps used to simulate the spatial extension of built-up areas. Secondly, this model is applied to the coast
of Languedoc in a Southern region of France subjected to a strong residential pressure.
Keywords built-up area spread - spatial modelling - image analysis - Mathematical Morphology - simulations
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