Abstract
Based on the residential POI (Point of Interest) data in the central district of Lanzhou, the spatial pattern of housing price were discussed using spatial auto correlation analysis. The results show that: the spatial variation of residence price in Lanzhou presented a point axle type pattern with the east-high and west-low feature. The spatial dependence and anisotropy were apparent in spatial variability of housing price, housing price in different directions have different degrees of spatial autocorrelation. Furthermore, with the increase of variation, the influence of structural components, such as traffic, environment and public service, were becoming more and more significant.
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