In the great majority of urban models based on Cellular Automata (CA), the concept of proximity is assumed to reflect two fundamental sources of spatial interaction: (1) accessibility and (2) vicinity in Euclidean sense. While the geographical space defined by the latter clearly has an Euclidean representation, the former, based on the accessibility, does not admit such a regular representation. Very little operational efforts have been undertaken in CA-based urban modelling to investigate and provide a more coherent and cogent treatment of such irregular geometries, which indeed are a fundamental feature of any urban geography. In this paper, we suggest an operational approach - entirely based on cellular automata techniques - to model the complex topology of proximities arising from urban geography, and to entangle such proximity topology with a CA model of spatial interactions. © 2011 Springer-Verlag.

Modelling proximal space in urban cellular automata

BLECIC, IVAN;
2011

Abstract

In the great majority of urban models based on Cellular Automata (CA), the concept of proximity is assumed to reflect two fundamental sources of spatial interaction: (1) accessibility and (2) vicinity in Euclidean sense. While the geographical space defined by the latter clearly has an Euclidean representation, the former, based on the accessibility, does not admit such a regular representation. Very little operational efforts have been undertaken in CA-based urban modelling to investigate and provide a more coherent and cogent treatment of such irregular geometries, which indeed are a fundamental feature of any urban geography. In this paper, we suggest an operational approach - entirely based on cellular automata techniques - to model the complex topology of proximities arising from urban geography, and to entangle such proximity topology with a CA model of spatial interactions. © 2011 Springer-Verlag.
9783642219276
9783642219276
informational field; informational signal propagation; irregular neighbourhood; land-use dynamics; proximal space; urban cellular automata; Computer Science (all); Theoretical Computer Science
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11584/198495
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