The impact of neighbourhood size on the accuracy of cellular automata-based urban modelling

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Liu, Yan. The impact of neighbourhood size on the accuracy of cellular automata-based urban modelling. 2007.

Please use this identifier to cite or link to this item: http://arrow.monash.edu.au/hdl/1959.1/5125

Title: The impact of neighbourhood size on the accuracy of cellular automata-based urban modelling
Creator: Liu, Yan
Contributor: Monash University. Faculty of Arts. School of Geography and Environmental Science.
Subject: Urban development
Subject: Cellular automata
Subject: Neighbourhood scale
Subject: Sydney
Date: 2007
Description: Cellular automata are discrete dynamic models in which behaviour is specified in terms of local relations. This technique has recently been advantageously applied to modelling of the urban development process. However, the behaviour of the model is affected by spatial scale, including cell size and neighbourhood extent. Therefore, it is important to examine the impacts of various neighbourhood scales on the model’s behaviour and outcome. In this paper we configured a cellular automata model of urban growth in Sydney, Australia, using three different neighbourhood scales: a small neighbourhood of 1.5 cells radius, a moderate neighbourhood of 2.5 cells radius and a large neighbourhood of 3.5 cells radius, all with a fixed cell size of 250 metres. The moderate neighbourhood scale of 2.5 cells radius was found to best reflect those local mechanisms that have the most direct impact on urban development in Sydney. Hence this paper provides a useful reference in the search for a neighbourhood size that is suitable for cellular automata-based modelling of the processes of urban development.

Identifier: http://arrow.monash.edu.au/hdl/1959.1/5125
Identifier: monash:5125
Identifier: Liu, Y. The impact of neighbourhood size on the accuracy of cellular automata-based urban modelling. Applied GIS. 2007 Apr3(3): 1-14.
RM Identifier: $rmid
Publication Category: $pubCat
Format: application/pdf
Type: journal article
Type: Collection. Applied GIS
Type: Monash open access journal
Source: 1832-5505

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