《Table 1 Metedata summary of housing price quarterly change dataset in Nanjing townhouse(apartment,r

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《南京城区住宅小区房价变化地理信息数据集（2009-2017）》

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Owing to the compact distribution of the old residential areas and the luxury gated communities in the main city，and mixed distribution of urban villages，temporary dwellings，and newly constructed apartment communities on the outskirts of the city，suburban economic housing communities may be located close to the luxury villa district，which causes fragmentation and discontinuity of inner-urban house prices and is represented as“spatial heterogeneity”，which is more common in the western world[11–12].Due to the significant spatial heterogeneity and discontinuity of house prices in Nanjing，we tried to show original house prices and avoid using spatial interpolation technology to estimate and possibly inflate prices；thus，we utilized Fishnet in ArcGIS to analyze the spatial patterns of commercial residential building prices in the main city of Nanjing.The steps were as follows:（1）Determining the evaluation unit.Based on inner-urban social space characteristics，previous research[13]，and earlier test，we set the urban house price evaluation unit as 500 m×500 m，and divided Nanjing main city into such evaluation units using the Fishnet tool in ArcGIS10.2；（2）Spatial data processing for evaluation indicators.By utilizing the Spatial Join tool in ArcGIS10.2，we matched the mean house price value of residential areas in each grid to their corresponding grid attribute value.