Analyzing the spatial autocorrelation of regional urban datum land price  

作　　者：JIAO Limin LIU Yaolin 

机构地区：[1]School of Resource and Environment Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China [2]Key Laboratory of Geographic Information System Ministry of Education,Wuhan University,129 Luoyu Road,Wuhan 430079,China

出　　处：《Geo-Spatial Information Science》2012年第4期263-269,共7页地球空间信息科学学报（英文）

基　　金：This research was funded by the National Natural Science Foundation of China(Nos.41171312 and 40901188).

摘　　要：This study focuses on spatial autocorrelation and the spatial distribution of urban land prices from a regional perspective.Taking Hubei province,China,as a case study area,spatial autocorrelation degree,spatial autocorrelation pattern,and the mechanism of its formation were discussed.The study employs Moran’s I,local Moran’s I,and Moran’s I correlogram to analyze spatial autocorrelation degree and its change along with contiguity order.Some local clustering hot spots are found.This paper uses semi-variance statistic for 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.By Moran’s I and Moran’s I correlogram,we find that datum price of the cities in Hubei province has faint spatial autocorrelation degree at the first and the second-order contiguity.Spatial variance hints that the scale of the autocorrelation is about 200 km in route distance.Spatial clustering result indicates that the spatial distribution of city land price is a kind of hierarchy structure similar to administrative regions.From principal factors analysis and stepwise linear regression,we find that the value added of city secondary and tertiary industry and the urban population are two of the most influential factors to urban datum land price.The value added of city secondary and tertiary industry has higher spatial autocorrelation than urban datum land price and has a bigger autocorrelation scale.But urban population has little spatial autocorrelation.It can be inferred that the spatial autocorrelation of urban land price is mainly caused by economic spatial autocorrelation.But its spatial autocorrelation degree is lower than economic factors because urban datum land price is also influenced by other special local factors,such as population,city infrastructure,land supply,etc.

关 键 词：spatial autocorrelation spatial clustering spatial variation urban datum land price 

分 类 号：F42[经济管理—产业经济]