Integrating ANNs and Cellular Automata–Markov Chain to Simulate Urban Expansion with Annual Land Use Data

Integrating ANNs and Cellular Automata–Markov Chain to Simulate Urban Expansion with Annual Land Use Data

Accurately simulating and predicting the urban expansion process, especially in expeditious urbanization areas, is an important aspect of managing limited land resources and adjusting flawed land use policies. This research was conducted on the basis of a high-temporal-resolution land use dataset to...

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Bibliographic Details
Main Authors: Tingting Xu, Dingjie Zhou, Yuhua Li
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Land
Subjects:
urban expansion
artificial neural network
multiple-layer perceptron
long short-term memory network
cellular automata
Online Access:https://www.mdpi.com/2073-445X/11/7/1074

Internet

https://www.mdpi.com/2073-445X/11/7/1074

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