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福州市人口分布的空间自相关分析
引用本文:封磊,洪伟,吴承祯,范海兰,孙刚,宋萍.福州市人口分布的空间自相关分析[J].江西农业大学学报,2008,30(3):569-574.
作者姓名:封磊  洪伟  吴承祯  范海兰  孙刚  宋萍
作者单位:1. 福建农林大学,资源与环境学院,福建,福州350002
2. 福建农林大学,林学院,福建,福州350002
摘    要:空间自相关分析是一种空间统计的方法,可以揭示区域变量的空间结构形态。基于此方法,利用2004年福州市各乡镇、街道人口数据,对福州市人口全局和局部空间相关性进行了实证分析。结果表明,福州市人口全局Moran’sI指数为0.409 3,达到显著正相关,呈现明显的全局空间集聚现象;福州市人口分布的局部空间集聚现象亦十分显著,"高-高"关联的乡镇集中分布在福州市中心城区和福清市,"低-低"关联的乡镇则分布于离中心城市较远的区域;总体上,人口分布呈正关联的乡镇数量明显高于呈负关联的数量。

关 键 词:福州  人口分布  空间自相关  空间特征
文章编号:1000-2286(2008)03-0569-06
修稿时间:2008年1月2日

Analysis on the Spatial Autocorrelation of Population Distribution in Fuzhou City
FENG Lei,HONG Wei,WU Cheng-zhen,FAN Hai-lan,SUN Gang,SONG Ping.Analysis on the Spatial Autocorrelation of Population Distribution in Fuzhou City[J].Acta Agriculturae Universitis Jiangxiensis,2008,30(3):569-574.
Authors:FENG Lei  HONG Wei  WU Cheng-zhen  FAN Hai-lan  SUN Gang  SONG Ping
Abstract:Spatial autocorrelation analysis was a statistical method of spatial statistics, and it could reveal the spatial structure of regional variables.By using the method of spatial autocorrelation analysis,the global spatial autocorrelation and local spatial autocorrelation of the population distribution of Fuzhou city was studied according to the demographic data of the streets and the towns in Fuzhou area in 2004.The results showed that the global Moran's I index was 0.409 3,which achieved the significant positive correlation and indicated that the population distribution of Fuzhou took on significant spatial cluster on global level.Meanwhile,significant local spatial autocorrelation of population distribution also occurred.The towns/streets of "High-High" correlation were mainly those of Fuzhou's central area and Fuqing,while the towns/ streets of "Low-Low" correlation were those of areas located far from Fuzhou central district.Towns' streets with significant positive correlation of population distribution were more than those with significant negative correlation on the whole.
Keywords:Fuzhou  population distribution  spatial autocorrelation  spatial pattern
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