根据在西安市蓝田县城区调查的商业用地地价资料,利用ArcGis软件,从8种常用的插值方法中,以估计值与观察值的标准差最小为原则,筛选出适合于商业用地建立GRID数据的最优插值函数为克里金指数半变差函数模型,并利用该模型建立了商业用地的地价面,在此基础上对商业用地的地价空间结构进行了分析。结果表明:小城镇商业用地地价的变化呈同心圆结构,即城市中心区地价最高,向外逐渐降低。商业用地地价与道路两侧的商店密度性、临街道路的类型以及文化娱乐设施的分布密度正相关,相关系数分别为0.946、0.693和0.659;而与金融保险机构的个数以及土地所有权的性质相关性不强。

The commercial land price is based on the investigation of land transaction price data in Lantian County Xi'an city. Among 420 samples, 395 useful samples are selected to build the land price model. Among 8 Kriging interpolation functions, the exponential semi-variogram function is the best to build the commercial land price model. Then the spatial structure of LanTian's commercial land price is analyzed. The result reveals that the spatial structure of the variation of commercial land price is a concentric structure, that is to say, the price in the center area is higher than the one in other places and decreases along the road from the center. The highest commercial land price is in XianMen street, the North street, the north part of South street, whose land price per square meter is from 320 to 426 Yuan; The second is the south part of South street, LanXin street, XiangYang street and Yushan road, whose land price per square meter is from 240 to 320 Yuan; The third is the area surrounding the second area, whose land price per square meter is from 150 to 240 Yuan; The fourth is the outer area of the city, whose land price is below 150 Yuan. The factors influencing the commercial land price are also studied in the paper. The eight factors are shop density in the street, business operation areas, density of bank and insurance company, utility type of the road, number of the school, the hospital, the cultural and entertainment and agricultural product market located on the road. The result shows that three factors mainly affecting business land price are the density of shops on the two sides of the road, utility type of the road, number of the cultural and entertainment. The agglomeration scale and traffic location play the most important role in the determination of the commercial land price.