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

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

ABSTRACTUnderstanding the spatio-temporal evolution of urban expansion is essential for urban planning and sustainable development. Recently, cellular automata (CA)-based models have emerged as highly effective and widely utilized approaches for simulating urban expansion. However, they suffered fro...

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Bibliographic Details
Main Authors: Xiaoyong Tan, Min Deng, Kaiqi Chen, Yan Shi, Bingbing Zhao, Qinghao Liu
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:GIScience & Remote Sensing
Subjects:
Cellular automata
urban expansion
neighborhood effects
historical expansion trend
neighborhood sensitivity
spatial hierarchical learning module
Online Access:https://www.tandfonline.com/doi/10.1080/15481603.2023.2290352

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

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