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STOCHASTIC CELLULAR MODEL FOR LOWLAND URBAN DEVELOPMENT

By K. Teknomo, G. P. Gerilla and K. Hokao

Abstract

ABSTRACT: An urban growth model using stochastic cellular simulation was developed with motivation to understand the consequence of zone management policies in lowland cities. The model could integrate the growth, decline, spread, intensification, and protected areas of the urban growth into a single generalization of both the Eden and the p-models. Calibration strategy was demonstrated using historical aerial photographs of Saga city, Japan

Topics: Stochastic cellular automata, aerial pictures, urban growth model, Eden model, calibration
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.2351
Provided by: CiteSeerX
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