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

Kai Cao; Shaowen Wang; Xia Li; Ran Chen

doi:10.1109/GeoInformatics.2011.5981029

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

Kai Cao
, Shaowen Wang^*
, Xia Li
, Ran Chen

^*Corresponding author for this work

University of Illinois at Urbana-Champaign
Chang'an University
Nanjing University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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 language	English
Title of host publication	Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
DOIs	https://doi.org/10.1109/GeoInformatics.2011.5981029
State	Published - 2011
Externally published	Yes
Event	2011 19th International Conference on Geoinformatics, Geoinformatics 2011 - Shanghai, China Duration: 24 Jun 2011 → 26 Jun 2011

Publication series

Name	Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

Conference

Conference	2011 19th International Conference on Geoinformatics, Geoinformatics 2011
Country/Territory	China
City	Shanghai
Period	24/06/11 → 26/06/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

Cellular Automa
Genetic Algorithm
Land Use Modeling
Urbanization

Access to Document

10.1109/GeoInformatics.2011.5981029

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 Article 5981029 (Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011). https://doi.org/10.1109/GeoInformatics.2011.5981029

@inproceedings{146a63256eca40549143c7a63f749895,

title = "Modeling conversion of rural-urban land use based on cellular automa and genetic algorithm",

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 = "Cellular Automa, Genetic Algorithm, Land Use Modeling, Urbanization",

author = "Kai Cao and Shaowen Wang and Xia Li and Ran Chen",

year = "2011",

doi = "10.1109/GeoInformatics.2011.5981029",

language = "英语",

isbn = "9781612848488",

series = "Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011",

booktitle = "Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011",

note = "2011 19th International Conference on Geoinformatics, Geoinformatics 2011 ; Conference date: 24-06-2011 Through 26-06-2011",

}

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, 2011 19th International Conference on Geoinformatics, Geoinformatics 2011, Shanghai, China, 24/06/11. https://doi.org/10.1109/GeoInformatics.2011.5981029

Modeling conversion of rural-urban land use based on cellular automa and genetic algorithm. / Cao, Kai; Wang, Shaowen; Li, Xia et al.
Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011. 2011. 5981029 (Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modeling conversion of rural-urban land use based on cellular automa and genetic algorithm

AU - Cao, Kai

AU - Wang, Shaowen

AU - Li, Xia

AU - Chen, Ran

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Cellular Automa

KW - Genetic Algorithm

KW - Land Use Modeling

KW - Urbanization

UR - https://www.scopus.com/pages/publications/80052371973

U2 - 10.1109/GeoInformatics.2011.5981029

DO - 10.1109/GeoInformatics.2011.5981029

M3 - 会议稿件

AN - SCOPUS:80052371973

SN - 9781612848488

T3 - Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

BT - Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

T2 - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

Y2 - 24 June 2011 through 26 June 2011

ER -

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

Abstract

Publication series

Conference

UN SDGs

Keywords

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