A methodology to Geographic Cellular Automata model accounting for spatial heterogeneity and adaptive neighborhoods-Reference-Cited by-同舟云学术

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A methodology to Geographic Cellular Automata model accounting for spatial heterogeneity and adaptive neighborhoods

Published:2024-01-04 Issue:4 Volume:38 Page:699-725
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Song Youcheng¹,Wang Haijun¹²^ORCID,Zhang Bin³,Zeng Haoran¹^ORCID,Li Jiahui⁴,Zhang Junjie⁵

Affiliation:

1. School of Resource and Environmental Science, Wuhan University, Wuhan, China

2. Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources, Wuhan, China

3. School of Public Administration, China University of Geosciences, Wuhan, China

4. Hunan Provincial Land and Resources Planning Institute, Hunan, China

5. Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou, China

Funder

National Natural Science Foundation of China

Open Fund of Key Laboratory of National Geographical Census and Monitoring

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2023.2298298

Reference43 articles.

1. Comparative evaluation of geospatial scenario-based land change simulation models using landscape metrics

2. Collect Earth: Land Use and Land Cover Assessment through Augmented Visual Interpretation

3. China’s response to a national land-system sustainability emergency

4. Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling

5. Feeding cities: Singapore's approach to land use planning for urban agriculture

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multiclass logistic regression, Markov chain, and cellular automata integration for modelling urban land use change;Physics and Chemistry of the Earth, Parts A/B/C;2024-10

2. Multiple Land-Use Simulations and Driving Factor Analysis by Integrating a Deep Cascade Forest Model and Cellular Automata: A Case Study in the Pearl River Delta, China;Remote Sensing;2024-07-27

3. The Geographic Automata Tool: A New General-Purpose Geosimulation Extension for ArcGIS Pro;Applied Sciences;2024-07-26

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