Paper
3 November 2008 Research on urban sprawl based on GIS and CA
Fen Qin, Lijie Yan
Author Affiliations +
Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 71431C (2008) https://doi.org/10.1117/12.812577
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
The complex urban system can't be simulated directly by the traditional and static models. Cellular automata (CA) is a kind of dynamically modeling framework from bottom to top, which possesses the capability of modeling spatialtemporal evolvement process of a complicated geographical system. The peculiarities of CA are apt for simulating urban sprawl, urban expansion and land use evolution, which make the application of CA become very popular. The environment of CA simulation can be improved by using the CA model integrated with GIS to simulate the urban sprawl, and new parameters and transition rules can be found out by establishing classical urban CA. The paper summarizes the status and the application of urban CA in the world, develops a CA model named GIS-CA on the basis of the principle of CA, integrated with GIS and RS, adds urban plan as controlling factor into GIS-CA model, and uses GIS-CA model to simulate and forecast urban sprawl, and takes Luoyang City as the case study. The simulation and forecast results are acceptable for that the precision and Lee-Sallee shape index are rational.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fen Qin and Lijie Yan "Research on urban sprawl based on GIS and CA", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71431C (3 November 2008); https://doi.org/10.1117/12.812577
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KEYWORDS
Data modeling

Geographic information systems

Control systems

Geography

Complex systems

Computer simulations

Data acquisition

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