UrbanGenoGAN: pioneering urban spatial planning using the synergistic integration of GAN, GA, and GIS

UrbanGenoGAN: pioneering urban spatial planning using the synergistic integration of GAN, GA, and GIS

Introduction: Urban spatial planning is critical for the development of sustainable and livable cities. However, traditional planning methods often face challenges in handling complex planning scenarios and large-scale data.Methods: This paper introduces UrbanGenoGAN, a novel algorithm that integrat...

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Bibliographic Details
Main Authors: Wanyue Cheng, Yusu Chu, Chenyuan Xia, Boliang Zhang, Junming Chen, Mengyan Jia, Wenxiao Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Environmental Science
Subjects:
data optimization
machine learning
sustainable urban development
UrbanGenoGAN
urban spatial planning
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2023.1287858/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2023.1287858/full

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