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Proceedings Paper

Simulation of urban growth using a cellular automata-based model in a developing nation's region
Author(s): Changlin Yin; Dingquan Yu; Honghui Zhang; Shengjing You; Guanghui Chen
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Paper Abstract

Cellular automata (CA) modeling is one of the recent advances in spatial-temporal modeling techniques to the field of urban growth dynamics. A number of CA-based models of urban growth have produced satisfactory simulations of spatial urban expansion over time. The paper explained the parameters, transformation and calibration of the SLEUTH model-one specific format of the cellular automation model, on the base of which the process of urban growth of changsha city between the year 1996 and 2005 is rebuilt. Moreover the spatial morphology of Changsha city in 2015 and 2030 is separately predicted with the method of scenario simulation. The results of analysis and simulations indicate that application of the SLEUTH model to simulation of urban growth is advisable and the accuracy of simulation is acceptable.

Paper Details

Date Published: 3 November 2008
PDF: 8 pages
Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 714314 (3 November 2008); doi: 10.1117/12.812564
Show Author Affiliations
Changlin Yin, Central South Univ. (China)
Changsha Planning Information Service Ctr. (China)
Dingquan Yu, Changsha Planning Information Service Ctr. (China)
Honghui Zhang, Central South Univ. (China)
Changsha Planning Information Service Ctr. (China)
Shengjing You, Changsha Planning Information Service Ctr. (China)
Guanghui Chen, Central South Univ. (China)
Changsha Planning Information Service Ctr. (China)


Published in SPIE Proceedings Vol. 7143:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Aijun Chen, Editor(s)

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