【摘要】 基于地统计学方法及其相关理论,以免渡河为例,研究城镇地价的分布格局,并运用空间自相关和Kriging插值法分析方法进一步揭示了城镇地价的空间分异特征和空间集聚分布规律。本文数据源自免渡河镇2012年土地分等定级及基准地价更新。采用Moran’s I、Getis’G指数和地统计学中的半变异性方法对免渡河镇的商业和住宅地价的全局自相关与局域自相关及各项异性进行全面分析,并运用Kriging插值法与空间自相关对比分析,且均采用球状模型曲线得出:免渡河镇的地价在1700米的范围内均存在正相关及高聚集性,随着距离的增大,自相关性逐步减弱,地价的空间自相关在各个方向都不径相同,且在部分区域表现有异质性。在西北-东南方向地价的空间自相关范围要大于东北—西南方向,且随机性较强,如商业地价在此方向的的自相关变化程度较大。更多还原

【Abstract】 The data in this article derived from the urban of Mian Du He land update and land gradation in2012. Based on Spatial autocorrelation statistics and Geostatistical theory and methods to explore the distribution pattern of urban land price,Further reveals the spatial characteristics and distribution law of spatial agglomeration.Using global and local spatial statistics for autocorrelation in the index of Moran’I and Getis’ G with the half variation function of geostatistical fora comprehensive analysis of uban of Mian Du He commercial and residential prices from General to local characteristics the spatial distribution and Anisotropic. Combined with the Kriging interpolation method and its analysis,And using spherical model curves obtained: the land prices in the range of 1700 meters were positively correlated and high aggregation,As the distance increases,its premium autocorrelation gradually weakened,the Spatial autocorrelation of the land in every direction are not the same size,and in some regions there is heterogeneity. In Northwest- Southeast direction premium range of Spatial autocorrelation than as a northeast- southwest direction,and randomness is strong,such as autocorrelation of commercial land in the direction of change is quite large.更多还原