摘要
城市发展水平是衡量一个地区城市化发展程度的重要指标。本文基于谷歌地球引擎(GEE)平台提供的陆地卫星(Landsat)遥感影像,采用随机森林算法识别湖北省2010—2020年建设用地,提取城市中心并计算边路径中心度,利用空间自相关分析模型、变异系数法、标准差椭圆等方法探究其时空演变特征,并借助地理探测器进一步定量分析影响城市发展的驱动因素。结果表明:湖北省城市发展水平区域特征明显;研究期内湖北省城市发展水平全局莫兰指数均为正数,整体呈“N”形趋势增长,高-高聚集和低-低聚集现象显著;城市发展分布中心向西南方向移动,呈西北—东南走向蔓延;城市发展水平差异均有所减小,多数地市差异系数在[-0.2,0.2]范围变化;年降水量和人口密度分别是最影响城市发展的自然因素和社会经济因素,且湖北省城市发展受多重因素的协同作用。
The level of urban development is an important indicator to measure the degree of urbanization in a region.Based on Landsat remote sensing images provided by GEE platform,this paper uses random forest algorithm to identify the construction land in Hubei from 2010 to 2020,extract the urban center and calculate its line road centrality.The spatial autocorrelation analysis model,coefficient of variation method,standard deviation ellipse and so on are used to explore its temporal and spatial evolution characteristics.The driving factors affecting urban development are further quantitatively analyzed with the help of geographic detectors.The results show that the distribution characteristics of urban objects in Hubei are obvious.During the study period,the results of Moran'I of urban development level in Hubei are positive,showing an"N"-shaped trend of growth and obvious spatial imbalance.The distribution center of urban development moves to the southwest,spreading in the northwest-southeast direction.The mostly differences of the urban development level within the city area are decreasing,and the difference coefficients of cities vary in the range from-0.2 to 0.2.Annual precipitation and population density are the main natural and socio-economic factors affecting urban development respectively.The urban development of Hubei is synergistically affected by multiple factors.
作者
唐霞
汤军
杨勇
张朔川
高贤君
TANG Xia;TANG Jun;YANG Yong;ZHANG Shuochuan;GAO Xianjun(School of Earth Sciences,Yangtze University,Wuhan 430100,Hubei,China)
出处
《自然资源信息化》
2023年第1期55-63,共9页
Natural Resources Informatization
基金
自然资源部地理国情监测重点实验室开放基金资助项目(2020NGCM07)。
关键词
边路径中心度
城市发展
时空演变
地理探测器
湖北省
line road centrality
urban development
spatio-temporal evolution
Geodetector
Hubei
