Research on Urban Carrying Capacity Based on Multisource Data Fusion—A Case Study of Shanghai

Taking Shanghai as an example, this paper uses remote sensing (RS) and geographical information systems (GIS) technology to conduct multisource data fusion a spatial pattern analysis of urban carrying capacity at the micro scale. The main conclusions are follows: (1) based on “production, living ecology” land functions framework use data, is divided into seven types spaces reveal their heterogeneity compatibility in terms functions. (2) We propose coupling model (UCCCM) data. incorporates threshold saturation effects, which improve its power explain capacity. (3) Using exploratory (ESDA) technique, studies different Shanghai. (4) analyse causes cold spots each space strategies according local conditions.