The University of Southampton
University of Southampton Institutional Repository

Calibration of stochastic cellular automata: the application to rural-urban land conversions

Calibration of stochastic cellular automata: the application to rural-urban land conversions
Calibration of stochastic cellular automata: the application to rural-urban land conversions
Despite the recognition of cellular automata (CA) as a flexible and powerful tool for urban growth simulation, the calibration of CA had been largely heuristic until recent efforts to incorporate multi-criteria evaluation and artificial neural network into rule definition. This study developed a stochastic CA model, which derives its initial probability of simulation from observed sequential land use data. Furthermore, this initial probability is updated dynamically through local rules based on the strength of neighbourhood development. Consequentially the integration of global (static) and local (dynamic) factors produces more realistic simulation results. The procedure of calibrated CA can be applied in other contexts with minimum modification. In this study we applied the procedure to simulate rural-urban land conversions in the city of Guangzhou, China. Moreover, the study suggests the need to examine the result of CA through spatial, tabular and structural validation.
795-818
Wu, F.
8e851da7-93c0-4ba2-a5ae-8a4cf0779895
Wu, F.
8e851da7-93c0-4ba2-a5ae-8a4cf0779895

Wu, F. (2002) Calibration of stochastic cellular automata: the application to rural-urban land conversions. International Journal of Geographical Information Sciences, 16 (8), 795-818. (doi:10.1080/13658810210157769).

Record type: Article

Abstract

Despite the recognition of cellular automata (CA) as a flexible and powerful tool for urban growth simulation, the calibration of CA had been largely heuristic until recent efforts to incorporate multi-criteria evaluation and artificial neural network into rule definition. This study developed a stochastic CA model, which derives its initial probability of simulation from observed sequential land use data. Furthermore, this initial probability is updated dynamically through local rules based on the strength of neighbourhood development. Consequentially the integration of global (static) and local (dynamic) factors produces more realistic simulation results. The procedure of calibrated CA can be applied in other contexts with minimum modification. In this study we applied the procedure to simulate rural-urban land conversions in the city of Guangzhou, China. Moreover, the study suggests the need to examine the result of CA through spatial, tabular and structural validation.

This record has no associated files available for download.

More information

Published date: 2002

Identifiers

Local EPrints ID: 14903
URI: http://eprints.soton.ac.uk/id/eprint/14903
PURE UUID: a6a36e86-6ba0-45a0-a031-1c84e4d2ea27

Catalogue record

Date deposited: 10 Mar 2005
Last modified: 15 Mar 2024 05:32

Export record

Altmetrics

Contributors

Author: F. Wu

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×