A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
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 and a spatial pattern analysis of urban carrying capacity at the micro scale. The main conclusions are as follows: (1) based on the "production, living and ecology" land functions framework and land use data, Shanghai is divided into seven types of urban spaces to reveal their heterogeneity and compatibility in terms of land use functions.doi:10.3390/rs13142695 fatcat:tv2sfcwfdjfxvp67vvacl56q5q