Real estate confidence index based on Web GIS and SPSS WebAPP

Real estate confidence index, as an efficient and effective information-oriented measure, is being studied and applied to the China’s real estate market. It not only assists government with the macro control of real estate market, but also guides investment and consumption. In order to assure the accuracy and real time of the RECI, more factors should be considered and an efficient system based on IT is needed. This paper presents a set of real estate confidence indices via considering synthetically efficient demand and supply, latent demand and latent supply on the basis of domestic and overseas research status and establishes relevant mathematical models at all levels. Then a Web GIS and SPSS WebAPP-based indices-issued system model is constructed. The relevant key techniques are analyzed, and the functions of the model are discussed. Otherwise, according to current conditions, the application of the system is conceived.