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STUDY ON SPATIAL AUTOCORRELATION OF URBAN LAND PRICE DISTRIBUTION IN CHANGZHOU CITY OF JIANGSU PROVINCE
作者姓名:LIU  Zhong-gang  LI  Man-chun  SUN  Yan  MA  Wen-bo
作者单位:1. Department of Urban and Resources Sciences,Nanjing University,Nanjing 210093,P. R. China; 2. National Research Center for Resettlement,Hohai University,Nanjing 210098,P. R. China; 3. College of Civil Engineering,Nanjing University of Technology,Nanjing 210009,P. R. China
基金项目:Under the auspices of the National Natural Science Foundation of China (No. 40371091), Land Monitoring Project ofthe Ministry of Land and Resources of P. R. China (No. 2005-6.1-6)
摘    要:1INTRODUCTION The level and periodic changes of land price are interest- ing subjects for the governors, investors, researchers and grass-roots. Currently, the higher land price in China has become the focus among the people, from central go- vernment tocommon citizens,especially in theChang- jiang (Yangtze) River Delta area around Shanghai City. So that studyingthisproblem have both an academic and practicalmeaning. One characteristic ofland is fixed location (the others are high cost…

关 键 词:空间自相关  土地价值  GIS  地理信息系统  江苏  常州市
文章编号:1002-0063(2006)02-0160-05
收稿时间:2005-08-30

Study on spatial autocorrelation of urban land price distribution in Changzhou city of Jiangsu Province
LIU Zhong-gang LI Man-chun SUN Yan MA Wen-bo.STUDY ON SPATIAL AUTOCORRELATION OF URBAN LAND PRICE DISTRIBUTION IN CHANGZHOU CITY OF JIANGSU PROVINCE[J].Chinese Geographical Science,2006,16(2):160-164.
Authors:Zhong-gang Liu  Man-chun Li  Yan Sun  Wen-bo Ma
Institution:(1) Department of Urban and Resources Sciences, Nanjing University, 210093 Nanjing, P. R. China;(2) National Research Center for Resettlement, Hohai University, 210098 Nanjing, P. R. China;(3) College of Civil Engineering, Nanjing University of Technology, 210009 Nanjing, P. R. China
Abstract: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.
Keywords:spatial autocorrelation  land price  Moran's I  GIS  Changzhou
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