A high‐performance cellular automata model for urban expansion simulation based on convolution and graphic processing unit

Cellular automata (CA) models are effective tools for simulating future urban expansion. With the widespread use of high‐resolution geospatial data for CA simulation, the computational intensity of CA models has increased. Additionally, due to the continuous development of CA modeling research, many...

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Vydané v:	Transactions in GIS Ročník 28; číslo 4; s. 947 - 968
Hlavní autori:	Zeng, Haoran, Wang, Haijun, Zhang, Bin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.06.2024
Predmet:	Application programming interface Artificial neural networks Cellular automata Computer applications Computing time Deep learning Graphics processing units Interfaces Machine learning Neighborhoods Neural networks Simulation Spatial data Urban development Urban sprawl
ISSN:	1361-1682, 1467-9671
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