Abstract
The applications presented in this chapter represent a complete modelling chain, integrating interaction modelling and uncertainty issues. New protocols to extract urban networks from spatial interaction data within a regional space are proposed. Bayesian Networks are later used to produce a model of the evolution of these networks. The results of prospective simulations of the future evolution of regional urban networks are subsequently integrated in a GIS platform to obtain an appropriate cartographic representation. GIS modelling and mapping integrate the probabilistic content of the model results, representing the degree of uncertainty in the knowledge of the future state of every component of the regional system.
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Fusco, G. (2010). Uncertainty in Interaction Modelling: Prospecting the Evolution of Urban Networks in South-Eastern France. In: Jeansoulin, R., Papini, O., Prade, H., Schockaert, S. (eds) Methods for Handling Imperfect Spatial Information. Studies in Fuzziness and Soft Computing, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14755-5_14
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DOI: https://doi.org/10.1007/978-3-642-14755-5_14
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