Incorporation of spatial anisotropy in urban expansion modelling with cellular automata

doi:10.1080/13658816.2020.1852475

	Incorporation of spatial anisotropy in urban expansion modelling with cellular automata
	Zhang, Jinqu 1; Ling, Yu 1; Zhu, A-Xing 2,3,4,5,6; Zeng, Hongyun ; Song, Jia 4; Zhu, Yunqiang 4,7; Qian, Lang 1
刊名	INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
	2020-11-29
页码	28
关键词	Urban expansion cellular automata model spatial anisotropy simulation evaluation index
ISSN号	1365-8816
DOI	10.1080/13658816.2020.1852475
通讯作者	Zhang, Jinqu(zjq@scnu.edu.cn) ; Zhu, Yunqiang(zhuyq@igsnrr.ac.cn)
英文摘要	Cellular Automata (CA) models have become the most commonly used tool for simulating urban expansion. To improve the accuracy of CA models, various driving factors like spatial proximity and neighbourhood effects have been explored in previous studies, but the inclusion of these factors does not address the directional differences in urban expansion. To address this issue, this study develops a method to measure urban spatial anisotropy (SA) with respect to 18 variables at both the global and local scales, and integrates all these SA variables into a logistic regression-based CA model. The revised CA model is evaluated with a case study for Huizhou, China. The case study shows that the simulation results for the CA model with SA exhibit 89% overall accuracy; compared to CA models that do not consider SA, the revised CA model can improve precision by 5% on newly developed cells. The consideration of SA in CA models proves promising in improving the accuracy of urban expansion simulations.
资助项目	National Natural Science Foundation of China[41771430] ; National Natural Science Foundation of China[41631177] ; National Natural Science Foundation of China[41871300] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100100] ; Key-Area Research and Development Program of Guangdong Province[2019B111101001]
WOS研究方向	Computer Science ; Geography ; Physical Geography ; Information Science & Library Science
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000594043200001
资助机构	National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Key-Area Research and Development Program of Guangdong Province
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/156459]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Jinqu; Zhu, Yunqiang
作者单位	1.South China Normal Univ, Sch Comp Sci, Guangzhou, Peoples R China 2.Southern Univ Sci & Technol, Ctr Social Sci, Shenzhen, Peoples R China 3.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 5.Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China 6.Yunnan Univ, Sch Resource Environm & Earth Sci, Kunming, Yunnan, Peoples R China 7.Jiangsu Ctr Collaborat Innovat Geog Informat Res, Nanjing, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Jinqu,Ling, Yu,Zhu, A-Xing,et al. Incorporation of spatial anisotropy in urban expansion modelling with cellular automata[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2020:28.
APA	Zhang, Jinqu.,Ling, Yu.,Zhu, A-Xing.,Zeng, Hongyun.,Song, Jia.,...&Qian, Lang.(2020).Incorporation of spatial anisotropy in urban expansion modelling with cellular automata.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,28.
MLA	Zhang, Jinqu,et al."Incorporation of spatial anisotropy in urban expansion modelling with cellular automata".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2020):28.