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

Youcheng Songa School of Resource and Environmental Science, Wuhan University, Wuhan, China;b Key Laboratory of Tropical and Subtropical Natural Resources Monitoring in South China, Ministry of Natural Resources, Guangzhou, ChinaView further author information

Xu Hongtaoc College of Water Sciences, Beijing Normal University, Beijing, ChinaView further author information

Haijun Wanga School of Resource and Environmental Science, Wuhan University, Wuhan, China;b Key Laboratory of Tropical and Subtropical Natural Resources Monitoring in South China, Ministry of Natural Resources, Guangzhou, ChinaCorrespondence[email protected]
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Ziyang Zhub Key Laboratory of Tropical and Subtropical Natural Resources Monitoring in South China, Ministry of Natural Resources, Guangzhou, China;d Surveying and Mapping Institute, Lands and Resource Department of Guangdong Province, Guangzhou, ChinaView further author information

Xinyi Kangb Key Laboratory of Tropical and Subtropical Natural Resources Monitoring in South China, Ministry of Natural Resources, Guangzhou, China;d Surveying and Mapping Institute, Lands and Resource Department of Guangdong Province, Guangzhou, ChinaView further author information

Xiaoxu Caoa School of Resource and Environmental Science, Wuhan University, Wuhan, ChinaView further author information

Zhang Bine School of Public Administration, China University of Geosciences, Wuhan, ChinaView further author information

Haoran Zenga School of Resource and Environmental Science, Wuhan University, Wuhan, ChinaView further author information

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

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

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