Zhang Xinle

Spatial Distribution of Residential Prices Basing on RS and GIS in Harbin

To provide information and theoretical basis for government to formulate reasonable land use and urban planning, guide residential price, regulate real estate investment structure, consumers to choose resident, and to provide empirical instance for country macroscopical adjustment and control real estate operation, Harbin city was selected as study area, with ArcGIS and SPSS software as platform, basing on spatial analysis theory and geostatistics, RS and GIS were integrated to study residential location and price spatial distribution. The spatial autocorrelation of sampling points was analysed. Then, spatial interpolation was made, the spatial distribution of residential price was analysed. Finally, the results were classified to study spatial variation further. The results show that residential price in Harbin has significant spatial autocorrelation, the average decreasing order of districts is Nangang, Xiangfang, Daoli, Daowai, Songbei, Pingfang, Hulan; residential prices of Songbei rise significantly; the railway through the city has negative impact; spatial variation of residential price in Daoli district is remarkable and relatively equable in Xiangfang district; the original spatial pattern of residential price has been broken, and the city is developing from the single-core city to multi-core city. Spatial pattern of residential price will be further changed with the industrial layout adjustment.