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首页> 外文期刊>Chinese Geographical Science >STUDY ON SPATIAL AUTOCORRELATION OF URBAN LAND PRICE DISTRIBUTION IN CHANGZHOU CITY OF JIANGSU PROVINCE
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STUDY ON SPATIAL AUTOCORRELATION OF URBAN LAND PRICE DISTRIBUTION IN CHANGZHOU CITY OF JIANGSU PROVINCE

机译：江苏省常州市城市土地价格分布的空间自相关研究

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摘要

This paper uses a spatial statistics method based on the calculation of spatial autocorrelation as a possible approach for modeling and quantifying the distribution of urban land price in Changzhou City, Jiangsu Province. GIS and spatial statistics provide a useful way for describing the distribution of urban land price both spatially and temporally, and have proved to be useful for understanding land price distribution pattern better. In this paper, we apply the statistical analysis method to 8379 urban land price samples collected from Changzhou Land Market, and it is turned out that the proposed approach can effectively identify the spatial clusters and local point patterns in dataset and forms a general method for conceptualizing the land price structure. The results show that land price structure in Changzhou City is very complex and that even where there is a high spatial autocorrelation, the land price is still relatively heterogeneous. Furthermore, lands for different uses have different degrees of spatial autocorrelation. Spatial autocorrelation of commercial lands is more intense than that of residential and industrial lands in regional central district. This means that treating land price as integration of homogeneous units can limit analysis of pattern, over-simplifying the structure of land price, but the methods, just as the autocorrelation approaches, are useful tools for quantifying the variables of land price.
机译：本文使用基于空间自相关计算的空间统计方法作为对江苏省常州市城市地价分布进行建模和量化的一种可行方法。地理信息系统和空间统计为描述城市土地价格的时空分布提供了一种有用的方式，并被证明有助于更好地理解土地价格的分布格局。本文将统计分析方法应用于从常州土地市场采集的8379个城市地价样本，结果表明，该方法可以有效地识别数据集中的空间聚类和局部模式，形成了一种概念化的通用方法。地价结构。结果表明，常州市地价结构十分复杂，即使在空间自相关性较高的地方，地价仍然相对异质。此外，不同用途的土地具有不同程度的空间自相关。商业用地的空间自相关比区域中心区的住宅用地和工业用地更紧密。这意味着将土地价格视为同质单位的整合会限制模式分析，过度简化了土地价格的结构，但是这些方法，就像自相关方法一样，是量化土地价格变量的有用工具。

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