中山大学学报（自然科学版）（中英文）2025，Vol.64Issue(3)：83-91,9.DOI:10.13471/j.cnki.acta.snus.ZR20240288
广东省各区县绿地服务水平分析
Analysis of green space service level in districts and counties of Guangdong
摘要
Abstract
Green space is recognized as a crucial factor in promoting health and sustainable development,as it provides ecological,social,and economic benefits to a region.Various regional climates,social and economic conditions,and spatial aggregation types of green space exhibit distinct differences,leading to variations in the service levels of green areas.Focusing on climate and socio-economic factors,a bivariate spatial autocorrelation analysis was conducted to investigate the spatial aggregation characteristics and service level of green space at the district and county scale in Guangdong Province in 2020.The results indicate that green space and its associated indices display a continuous"high-low"aggregation pattern in certain districts and counties within the core of Pearl River Delta and East Guangdong.Conversely,the"low-high"banded clusters are primarily distributed in northern Guangdong.Among the four regions analyzed,northern Guangdong boasts a high level of green space service that adequately meets the climate and socio-economic needs.In contrast,the Pearl River Delta and eastern Guangdong region exhibit lower service levels of green space,highlighting prominent inequalities of climate,social,and economic factors.The results reflect the varying service levels and the supply-demand relationships of green space in each district of Guangdong Province and provide scientific guidance for further urban green space planning and development.关键词
绿地/双变量空间自相关/莫兰指数/服务水平Key words
green space/bivariate spatial autocorrelation/Moran index/service level分类
社会科学引用本文复制引用
黄银萱,关展亮,廖威林..广东省各区县绿地服务水平分析[J].中山大学学报（自然科学版）（中英文）,2025,64(3):83-91,9.基金项目
国家自然科学基金(42271419) （42271419）
广州市青年科技人才托举项目(QT-2023-010) （QT-2023-010）
中山大学创新人才培育计划(23lgbj014) （23lgbj014）
