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基于众源地理数据的佛山市城市功能区时空演变及驱动力分析 被引量:2

Analysis on the Characteristics of Time and Space Changes and Driving Forces of Urban Functional Zones in Foshan
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摘要 城市功能区的分布状况反映着人类社会的资源配置、产业布局和经济状况,研究城市功能区的格局变化和驱动因子可为城市经济职能的合理规划提供数据参考。本文应用高德地图兴趣点(POI)、Landsat8遥感影像、谷歌影像、社会统计数据等众源地理数据,以佛山市为例,首先通过计算频数密度和类型占比来识别城市功能区,继而分析各个功能区的扩展指数及功能区类型变化,最后结合人口经济数据探究城市功能区的变化和驱动力因子的相关性大小。结果表明:2014―2019年佛山市城市功能区不断扩张,主要增加了西部地区交通用地以及东部地区混合用地;佛山市城市功能区呈现由单一功能区逐步向混合功能区发展的趋势;佛山市城市功能区面积变化与常住人口和第二产业总值的相关性较强,平均相关性系数为0.52;2014―2019年佛山市功能中心持续向西移动,人口中心和经济中心向北移动。 The distribution of urban functional areas reflects the resource allocation,industrial layout and economic conditions of human society.Studying the changes of urban functional areas pattern and its driving factors can provide a data reference for the rational planning of urban economic functions.Based on the points of interest(POI)of AutoNavi Maps,Landsat8 remote sensing images,Google images,social statistics and other public data,taking Foshan as an example,the urban functional areas are identified by calculating the frequency density and types ratio,and analyzes the expansion of each functional area Index and functional area type changes,combined with population economic data to explore the correlation between urban functional area changes and driving force factors.The results show that Foshan City’s urban functional areas continued to expand from 2014 to 2019,mainly increasing the traffic land in the western region and the mixed land in the eastern region;Foshan’s urban functional areas showed a development trend of gradually changing from a single functional area to a mixed functional area;There is a strong correlation between the change of Foshan’s urban functional area and the permanent population and the total value of the secondary industry,with an average correlation coefficient of 0.52;From 2014 to 2019,Foshan’s functional center moved westward,and its population centers and economic centers moved northward.
作者 陈嘉浩 CHEN Jiahao(Guangdong ShengTeng Geospatial Information Technology Co.,Ltd.,Foshan 528200,China)
出处 《地理信息世界》 2022年第1期1-5,共5页 Geomatics World
关键词 兴趣点数据 城市功能区 时空变化 空间格局 驱动力 points of interest data urban functional areas temporal and spatial changes spatial pattern driving force
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