Urban sprawl modeling using statistical approach in Mashhad, northeastern Iran

摘要: Urban sprawl is a key subject of interest among urban planners and policy-makers, which needs to measure monitor in order overcome its impacts. The present study aims generate an model using two statistical approaches by the integration GIS Mashhad city, northeastern Iran. For this purpose, modified relative Shannon’s entropy together with hierarchical clustering analysis was considered as model. Five geo-statistical variables were input measurement Statistical revealed analogous result through On basis, three districts categorized crucial zones area regard expansion. expansion these depended on growth informal settlements increase crimes. This phenomenon could trigger negative environmental socio-economical impacts area. Hence, management should control prevention land use change degradation.