Enhancing outlying growth simulation in urban cellular automata via intelligent extraction-fusion of land suitability and neighborhood effects: a case study of Wuhan, China

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作者：
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China [1 ]
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来源：
Geo-Spatial Inf. Sci. | 1600年
关键词：
Cell state - Cellular automata models - Cellular automatons - Deep learning - Growth simulation - Land suitability - Neighborhood effect - Neighbourhood - Outlying growth - Urban cellular automaton;
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摘要：
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