This research aims to examine the spatial patterns of product variety and its relationship with the rental values for urban shopping areas. In order to reveal the complexity of various spatial structures of shopping areas, this research establishes a spatial hierarchy product variety database. The basic model applies the concepts from the Central Place theory, Bid-rent model to connect related indexes of spatial complexity, product variety and rents. The database includes three major components: 1) using GIS to generate basic spatial characteristics information variables and the spatial indexes will be generated from space syntax software, such as Depthmap or Axwoman ; 2) product variety data from a detailed survey of sampled shopping areas and shopping districts; and 3) a detailed rental data so as to generate retail rental gradient of shopping areas. The preliminary results show that certain spatial patterns of product variety dominants the rental market, and it is not the greater the general variety the higher the rent.