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Housing prices in a city spatial analysis, spatial vision of the city in terms of housing prices creates existence thoroughly. Using such an analysis can be found in the city, where prices are high or low in the analysis. This study were conducted aims to achieve spatial pattern of housing prices in the city. The purpose of applied research and in terms of the nature and method is analytic. The population of the city of Tabriz in 1390, is the residential apartment. Analysis of the spatial pattern analysis is used, cluster analysis in GIS maps and kriging interpolation method. The results of index rating average nearest neighbor with standard 88/22 and P Value 000/0 shows the distribution of cluster housing prices at all levels. According to statistics of General G, P Value and Variance value is zero, indicating a cluster pattern with a high concentration. The results show that the highest concentration of hot spots hot spots (highest price) in the East part of the city with the highest concentration of cold spots (lowest price) in the north, north-western and south-western city of Tabriz. Geocaching and no points given little value estimation using kriging interpolation using adjacent areas indicate that11/34 percent of housing in Tabriz has less than a million.

Keywords: spatial analysis, interpolation, housing prices, the city of Tabriz.

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