A spatial hierarchical learning module based cellular automata model for simulating urban expansion: case studies of three Chinese urban areas-Reference-Cited by-同舟云学术

A spatial hierarchical learning module based cellular automata model for simulating urban expansion: case studies of three Chinese urban areas

Published:2023-12-11 Issue:1 Volume:61 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Tan Xiaoyong¹^ORCID,Deng Min¹²,Chen Kaiqi¹^ORCID,Shi Yan¹²,Zhao Bingbing¹^ORCID,Liu Qinghao¹^ORCID

Affiliation:

1. Department of Geo-Informatics, School of Geosciences and Info-physics, Central South University, Changsha, China

2. The Third Surveying and Mapping Institute of Hunan Province, Hunan Geospatial Information Engineering and Technology Research Center, Changsha, China

Funder

National Natural Science Foundation of China

Hunan Provincial Innovation Foundation for Postgraduate

Fundamental Research Funds for the Central Universities of Central South University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2290352

Reference67 articles.

1. The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: A review

2. The dimensions of global urban expansion: Estimates and projections for all countries, 2000–2050

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

4. Cell-level coupling of a mechanistic model to cellular automata for improving land simulation

5. A Coefficient of Agreement for Nominal Scales

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

2. Optimal and Multi-View Strategic Hybrid Deep Learning for Old Landslide Detection in the Loess Plateau, Northwest China;Remote Sensing;2024-04-12

3. Impact of Land Use and Land Cover Change on Hydrological Processes in Urban Watersheds: Analysis and Forecasting for Flood Risk Management;Geosciences;2024-02-02