Incorporation of Spatially Heterogeneous Area Partitioning into Vector-Based Cellular Automata for Simulating Urban Land-Use Changes

In cellular automata (CA) modeling, spatial heterogeneity can be delineated by geographical area partitioning. The dual constrained space clustering method is a prevalent approach for providing an objective and effective representation of differences within urban regions. However, previous studies f...

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書誌詳細

主要な著者:	Jie Zhu, Mengyao Zhu, Jiaming Na, Ziqi Lang, Yi Lu, Jing Yang
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-10-01
シリーズ:	Land
主題:	urban land-use change simulation area partitioning spatial heterogeneity vector-based cellular automata (VCA) Jiangyin city
オンライン･アクセス:	https://www.mdpi.com/2073-445X/12/10/1893
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