Modeling conversion of rural-urban land use based on cellular automa and genetic algorithm

Author

Cao, Kai ; Wang, Shaowen ; Li, Xia ; Chen, Ran

Author_Institution

Dept. of Geogr., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA

fYear

2011

fDate

24-26 June 2011

Firstpage

1

Lastpage

5

Abstract

Understanding the complexity of urban expansion requires the analysis of the factors influencing the spatial rural-urban land conversion. This study aims to develop and evaluate a cellular automata (CA) spatial model to assist in understanding land use change patterns. Specifically, our CA simulation model is utilized to explore the effects of various factors on rural-urban land use conversion, including for example population density, slope, and proximity to roads. In addition, a genetic algorithm is developed to calibrate the CA model with an optimization focus placed on simulation accuracy. The CA model is validated using land use data from 2000 to 2004 in Nanjing, China. It is demonstrated that our approach provides an effective calibration support for modeling conversion of rural-urban land use.

Keywords

calibration; cellular automata; genetic algorithms; geophysical techniques; geophysics computing; terrain mapping; AD 2000 to 2004; China; Nanjing; calibration; cellular automata; genetic algorithm; rural-urban land use; urban expansion; Accuracy; Analytical models; Automata; Calibration; Computational modeling; Genetic algorithms; Planning; Cellular Automa; Genetic Algorithm; Land Use Modeling; Urbanization;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2011 19th International Conference on

Conference_Location

Shanghai

ISSN

2161-024X

Print_ISBN

978-1-61284-849-5

Type

conf

DOI

10.1109/GeoInformatics.2011.5981029

Filename

5981029