An adaptive transition probability matrix with quality seeds for cellular automata models

An adaptive transition probability matrix with quality seeds for cellular automata models

The cellular automata (CA) model is the predominant method for predicting land use and land cover (LULC) changes. The accuracy of this model critically depends on well-defined transition rules, which encapsulate the local dynamics of complex systems and facilitate the manifestation of organized glob...

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Bibliographic Details
Main Authors: Youcheng Song, Xu Hongtao, Haijun Wang, Ziyang Zhu, Xinyi Kang, Xiaoxu Cao, Zhang Bin, Haoran Zeng
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:GIScience & Remote Sensing
Subjects:
Land use and land cover change
land use simulation
cellular automata
genetic algorithm
Online Access:https://www.tandfonline.com/doi/10.1080/15481603.2024.2347719
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