摘要
为研究中国城市建成区2002-2021近20年来时空变化,采用DMSP-OLOS和NPP-VIIRS夜间灯光数据,在市域尺度上从数量结构和空间分布两个方面定量分析中国建成区的空间演化特征,并采用参数最优的地理探测器进行分析。结果表明:1)20年来,我国城市建成区的扩张速度以中速和低速发展为主,东部沿海和北部沿海地区的建成区年扩张速度均高于全国平均水平,东部沿海地区扩张速度最大,且区域内城市发展差异性最小;我国建成区重心向西北地区移动。2)建成区的扩张速度具有空间分异性,冷点区域分布在我国北部及中部并表现为低低聚类和高低聚类,而热点区域分布在我国东南沿海一带,并表现为高高聚类和低高聚类;3)各影响因子交互作用均为双因子增强或非线性增强,且GDP和人口因素的交互作用最强。
To study the spatiotemporal changes in urban built-up areas in China over the past 20 years from 2002 to 2021,promoting the urbanization process,and socially sustainable development in China,urban units in China were selected as the research objects.DMSP-OLOS data from 2002 and NPP-VIIRS night light data from 2021 were used,combined with indicators such as expansion speed,standard deviation ellipse,and spatial autocorrelation.Quantitative analysis of the spatial distribution characteristics in built-up areas is elaborated in two aspects:quantity structure and spatial distribution.Some factors are used as independent variables such as GDP difference,population difference,elevation,road network density,temperature difference,and rainfall difference.Expansion speed is used as the dependent variable.The driving force is quantitatively analyzed by parameter optimal geographic detector.1)In the past 20 years,the expansion speed of urban built-up areas in our country has been mainly in medium and low speed,The annual expansion rate of the built-up areas in the eastern and northern coastal areas is higher than the national average.The middle reaches of the Yellow River and the southern coast are comparable to the national average,while the middle reaches of the Yangtze River,Southwest China,Northeast China and Northwest China are significantly lower than the national average.The eastern coastal areas have the fastest expansion speed and the smallest difference in urban development,while the center of gravity of China′s built-up areas moves 100.22 kilometers from the eastern coastal areas to the northwest.2)The expansion speed of the built-up area has spatial heterogeneity,reflecting the accumulation of cold and hot spots.Cold spot areas are distributed in the northern and central regions of China and exhibit low-low clustering and high-low clustering,while hot spot areas are distributed in the southeastern coastal areas of China and exhibit high-high clustering and low-high clustering;3)GDP,population are the main fact
作者
刘丹丹
李泳亮
LIU Dan-dan;LI Yong-liang(School of Civil and Architecture Engineering,Panzhihua University,617000,Panzhihua,Sichuan,China)
出处
《河北水利电力学院学报》
2023年第3期33-39,共7页
Journal of Hebei University Of Water Resources And Electric Engineering
基金
四川省大学生创新创业训练计划项目(S202211360073)
四川省科技计划资助项目(2021JDRC0122)。
关键词
夜间灯光数据
城市扩张
空间自相关
参数最优地理探测器
nighttime lighting data
urban sprawl
spatial autocorrelation
parameter optimal geographic detector
