中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Incorporation of spatial anisotropy in urban expansion modelling with cellular automata

文献类型：期刊论文

作者Zhang, Jinqu2; Ling, Yu2; Zhu, A-Xing1,3,4,5,6; Zeng, Hongyun; Song, Jia4; Zhu, Yunqiang4,7; Qian, Lang2
刊名INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
出版日期2020-11-29
页码28
关键词Urban expansion cellular automata model spatial anisotropy simulation evaluation index
ISSN号1365-8816
DOI10.1080/13658816.2020.1852475
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
WOS记录号WOS:000594043200001
出版者TAYLOR & FRANCIS LTD
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
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.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA
2.South China Normal Univ, Sch Comp Sci, Guangzhou, Peoples R China
3.Southern Univ Sci & Technol, Ctr Social Sci, Shenzhen, Peoples R China
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.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。