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基于空间分层学习模块的细胞自动机模型模拟城市扩张：中国三个城市地区的案例研究

IF 6 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing Pub Date : 2023-12-11 DOI:10.1080/15481603.2023.2290352
Xiaoyong Tan, Min Deng, Kaiqi Chen, Yan Shi, Bingbing Zhao, Qinghao Liu
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引用次数: 0

摘要

了解城市扩张的时空演变对于城市规划和可持续发展至关重要。最近，基于蜂窝自动机（CA）的模型已成为一种高效的模型。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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A spatial hierarchical learning module based cellular automata model for simulating urban expansion: case studies of three Chinese urban areas
Understanding the spatio-temporal evolution of urban expansion is essential for urban planning and sustainable development. Recently, cellular automata (CA)-based models have emerged as highly effe...
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来源期刊
GIScience & Remote Sensing
GIScience & Remote Sensing 地学-遥感
CiteScore
11.20
自引率
9.00%
发文量
84
审稿时长
6 months
期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.
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