Analysis of Sptial Inequalities in Razavi Khorassan Province

The main purpose of this article is to offer analysis model’s abilities to descript spatial inequalities in khorassan Razavi province. First of all the theoretical model was shaped for 19 towns in the province, using 36 indicators including (12 social and 24 economical and infrastructural indicators). All of the indicators have been normalized by "Z" standard equation and the results analyzed with factor analysis model, SPSS and GIS software. Application of this model resulted to formation of 5 factors, where 2 factors have more than 56% of total variation, therefore they were accepted and the others omitted because their effects were less than 10% of total variation. These 2 factors have relation between variables (more than 0.5 Coefficient). The first factor nominated as economic development factor (economic driving factor). Second factor nominated as socio-economic factor (or comprehensive development factor). Calculating the factor scores for each town and depicting its result on axes diagram(X, Y) is the other important result of this research. Finally a new spatial zoning cluster have been built by integrating tow factor scores. Hence, 19 towns have formed in 5clusters. Mashhad locates in a group that nominated as economic driving factor cluster. Kalat categorized in the lowest level, the other towns distributed in another clusters. This method (factor analysis) can be used as foundation not only for planning activities but also for spatial inequalities and developmental priorities.