摘要
针对住宅地价在城市空间中的分异规律问题,该文以2007~2016年石家庄市城区住宅项目土地出让数据为基础,运用空间自相关法及地统计学半变异函数分析了石家庄市城区住宅地价的空间自相关性和变异性,在此基础上结合趋势面分析和克里金插值法探索城区住宅地价的空间分布特征。结果表明:1)石家庄市城区住宅地价总体上呈现显著的空间自相关性,空间距离尺度不同,城市住宅地价具有不同的空间关联度,随着相关距离的增大,自相关性逐渐减弱;住宅地价变异函数表现出各向异性和各向同性,不同方向有不同结构特征,空间自相关尺度为7300m;2)石家庄市城区住宅地价空间分异规律显著,既有连续性,也存在差异性和变异性,高地价区凸向裕华区和新华区。
Aiming at the distribution law of residential land prices in urban space,based on the data of urban residential land transaction in Shijiazhuang City from 2007 to 2016,the spatial autocorrelation and geostatistics variograms were used to analyze the spatial autocorrelation and variability of residential land prices in Shijiazhuang,and the spatial distribution characteristics of residential land price in Shijiazhuang city were explored by using the trend surface analysis and Kriging interpolation method. The results indicate that：（1） The residential land price in Shijiazhuang city exhibited significant positive spatial autocorrelation generally. For different space distance scales,the urban residential land price had different spatial correlation degrees. As the correlation distance increased,the autocorrelation gradually decreased. The residential land price semivariogram showed the anisotropy and isotropy,and there were different structural features in different directions; global spatial autocorrelation scale was 7300 m.（2） The spatial differentiation law of residential land price in Shijiazhuang city was obvious,it was not only continuity,but also difference and variability. High price area appeared in the District of Yuhua and Xinhua.
作者
刘艳清
葛京凤
李灿
刘欣
LIU Yanqing;GE Jingfeng;LI Can;LIU Xin(College of Resource and Environmental Science,Hebei Normal University,Shijiazhuang 050024,China;Lab of Environmental Change and Ec-ological Construction of Hebei Province,Shijiazhuang 050024,China;College of Continuing Education,Beijing Teehnology and Business Universi-ty,Beijing 100037,China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2018年第12期55-62,共8页
Journal of Arid Land Resources and Environment
基金
国家自然科学基金项目(编号:41471090)
河北省自然科学基金项目(编号:D2015205225)资助
关键词
住宅地价
空间自相关
地统计学
KRIGING插值
石家庄市
residential land price
spatial autocorrelation
geostatistics
Kriging interpolation method
Shiji- azhuang city
