Enhancing outlying growth simulation in urban cellular automata via intelligent extraction-fusion of land suitability and neighborhood effects: a case study of Wuhan, China-Reference-Cited by-同舟云学术

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Enhancing outlying growth simulation in urban cellular automata via intelligent extraction-fusion of land suitability and neighborhood effects: a case study of Wuhan, China

Published:2024-04-24 Issue: Volume: Page:1-19
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Xu Qingyang¹^ORCID,Guan Xuefeng¹^ORCID,Yang Changlan²^ORCID,Xing Weiran¹^ORCID,Chen Xiaoyu¹^ORCID,Wu Huayi¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. School of Resource and Environmental Sciences, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Hubei Luojia Laboratory

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2341755

Reference63 articles.

1. Urban Evolution on the Desktop: Simulation with the Use of Extended Cellular Automata

2. A bat-inspired approach to define transition rules for a cellular automaton model used to simulate urban expansion

3. Spatial-temporal characteristics of LUCC in Wuhan area using satellite data

4. Global projections of future urban land expansion under shared socioeconomic pathways

5. Modeling ESV losses caused by urban expansion using cellular automata and geographically weighted regression

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