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

Kai Cao, Shaowen Wang, Xia Li, Ran Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
DOIs
StatePublished - Sep 8 2011
Event2011 19th International Conference on Geoinformatics, Geoinformatics 2011 - Shanghai, China
Duration: Jun 24 2011Jun 26 2011

Publication series

NameProceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

Other

Other2011 19th International Conference on Geoinformatics, Geoinformatics 2011
CountryChina
CityShanghai
Period6/24/116/26/11

Keywords

  • Cellular Automa
  • Genetic Algorithm
  • Land Use Modeling
  • Urbanization

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

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  • Cite this

    Cao, K., Wang, S., Li, X., & Chen, R. (2011). Modeling conversion of rural-urban land use based on cellular automa and genetic algorithm. In Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 [5981029] (Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011). https://doi.org/10.1109/GeoInformatics.2011.5981029