摘要
研究了区域城镇基准地价水平的空间自相关分析方法。采用Moran’s I系数、局域Moran’s I系数、Moran’s I系数曲线分析了区域内城镇基准地价的空间自相关程度、局域聚集特征和多阶邻域空间自相关性变化特征;提出了一种基于路径间隔的半方差统计方法进行基准地价水平的空间变异尺度分析;构造了基于空间属性复合距离统计量的空间聚类方法,并利用该方法进一步揭示了城镇地价水平的空间聚集分布规律。以湖北省为例进行了实例分析。
We studied the spatial autocorrelation and its pattern of datum land prices of cities in a region, and took Hubei Province as a case study. We employ Moran＇s I, local Moran＇s I and Moran＇s I correlogram to analyze the spatial autocorrelation degree and its change along with contiguity order. We use semi-variance statistic of land price based on route distance to find the spatial autocorrelation scale. We also adopt spatial clustering based on a kind of composite distance to probe into the clustering characteristic of land prices. In the case study, we find datum prices of the cities in Hubei province has faint spatial autocorrelation degree at the first and the second order contiguity. The scale of the autocorrelation is about 200 km in route distance. The spatial distribution of city land prices is a kind of hierarchcal structure. We find that land prices of cities are spatially related with the development, land profit and urban populations by principal component analysis and stepwise linear regression analysis, and exploit the mechanism of the spatial autocorrelation of urban land prices.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第7期873-877,共5页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2007AA12Z225)
国家"十一五"科技支撑计划资助项目(2006BAJ05A02
2006BAB15B04)
国家973计划资助项目(2006CB701303)
地理信息系统教育部重点实验室开放研究基金资助项目(wd200609)
关键词
空间自相关
空间聚类
空间变异
城镇基准地价
spatial autocorrelation
spatial clustering
spatial variation
urban datum land price
