%0 Journal Article
%T SPATIAL ANALYSIS METHOD FOR METROPOLITAN LAND PRICE AND ITS APPLICATION IN BEIJING<br>都市地价空间分析方法及其应用——以北京市为例
%A LI Ling
%A GU Shu zhong
%A HU Ke lin
%A <br>李玲、谷树忠
%A 胡克林
%J 资源科学
%D 2003
%I 
%X Remisee land prices of metropolises can be divided into residential, commercial, industrial and complex remise land prices according to the purposes of land use. The commonly used spatial interpolation methods include surface trend analysis method, triangulated irregular network method (TIN), inverse distance weighting method(IDW) and ordinary Kriging method(OK). The paper adopted the Best Linear Unbiased Estimator method (Kriging method) to analyze the spatial character of the four kinds above in Beijing. The results showed that the level of residential remised land price was higher in inner and northern part and lower in outer and southern part of Beijing and the trend of suburb was significant. For the level of compositive remised land price, the high price was mainly concentrated in the ZhongGuanCun High Tech Zone while the medium level of price was mainly in WangFuJing, DongDan Commercial Zones and Beijing Banking Zone. As for the level of commercial remised land price, the general trend was that price in the northern part was higher than that of in the southern part of Beijing, and the land price mainly tilted toward northern and eastern part and the high level commercial remise land price was mainly concentrated in the old downtown areas, which represented the convex pattern of spatial distribution. The medium level of price was mainly affected by the newly emerged commercial centers and displayed cluster pattern of distribution. For industrial remised land price, the high level of price was mainly concentrated in HaiDian District whereas the medium level land price showed multiple sub central pattern of distribution. The study found that stochastic factors have little effects on the layout variance of land prices. It also found that there are remarkable neighboring interactions between each type of land prices, and the effective distance of neighboring interactions range from 7 79km to 47 03km. The findings have great values in guiding real estate investments and optimizing layouts of development projects.
%K Remised land price
%K Spatial variability
%K Spatial layout
%K Kriging method<br>出让地价
%K 空间变异
%K 空间格局
%K 克里格法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=B47B31F6349F979B&jid=9DEEAF23637E6E9539AD99BE6ABAB2B3&aid=D613619385C8FCAD&yid=D43C4A19B2EE3C0A&vid=C5154311167311FE&iid=E158A972A605785F&sid=CD775AE9DDBD7B53&eid=08805F9252973BA4&journal_id=1007-7588&journal_name=资源科学&referenced_num=13&reference_num=7