HGAT-VCA: Integrating high-order graph attention network with vector cellular automata for urban growth simulation-Reference-Cited by-同舟云学术

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HGAT-VCA: Integrating high-order graph attention network with vector cellular automata for urban growth simulation

Published:2023-01 Issue: Volume:99 Page:101900
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Guan Xuefeng,Xing Weiran,Li Jingbo,Wu Huayi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference61 articles.

1. Simulating urban growth under planning policies through parcel-based cellular automata (ParCA) model;Abolhasani;International Journal of Geographical Information Science,2016

2. Cellular automata on irregular tessellations;Baetens;Dynamical Systems,2012

3. Influence of the topology of a cellular automaton on its dynamical properties;Baetens;Communications in Nonlinear Science and Numerical Simulation,2013

4. Configuring the neighbourhood effect in irregular cellular automata based models;Barreira-González;International Journal of Geographical Information Science,2017

5. From raster to vector cellular automata models: A new approach to simulate urban growth with the help of graph theory;Barreira-González;Computers, Environment and Urban Systems,2015

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3. Learning spatial interaction representation with heterogeneous graph convolutional networks for urban land-use inference;International Journal of Geographical Information Science;2024-07-22

4. Investigating the impact of urban growth on land use using spatial autocorrelation methods in Konya/Türkiye;Environmental Monitoring and Assessment;2024-07-16

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