Coupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones-Reference-Cited by-同舟云学术

Coupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones

Published:2020-03-23 Issue:10 Volume:34 Page:1930-1952
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Liang Xun¹²^ORCID,Liu Xiaoping¹^ORCID,Chen Guangliang³,Leng Jiye¹⁴^ORCID,Wen Youyue⁵^ORCID,Chen Guangzhao¹^ORCID

Affiliation:

1. Guangdong Key Laboratory for Urbanization and Geo-simulation, School of Geography and Planning,Sun Yat-sen University, Guangzhou, PR China

2. School of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei Province, China

3. Guangzhou Landtu Geographic Information Technology Co., Ltd., Guangzhou, PR China

4. Department of Geography and Planning, University of Toronto, Toronto, ON, Canada

5. South China Institute of Environmental Science. MEE, Guangzhou, China

Funder

National Key R & D Program of China

The National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1741591

Reference68 articles.

1. A Fuzzy Cellular Automata Urban Growth Model (FCAUGM) for the City of Riyadh, Saudi Arabia. Part 2: Scenario Testing

2. Future urban land expansion and implications for global croplands

3. Development of a cellular automata model using open source technologies for monitoring urbanisation in the global south: The case of Maputo, Mozambique

4. Tracking dynamic land-use change using spatially explicit Markov Chain based on cellular automata: the case of Tehran

5. Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata

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