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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Autori principali:	Youcheng Song, Xu Hongtao, Haijun Wang, Ziyang Zhu, Xinyi Kang, Xiaoxu Cao, Zhang Bin, Haoran Zeng
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Taylor & Francis Group 2024-12-01
Serie:	GIScience & Remote Sensing
Soggetti:	Land use and land cover change land use simulation cellular automata genetic algorithm
Accesso online:	https://www.tandfonline.com/doi/10.1080/15481603.2024.2347719
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