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Comparative Analysis of Driving Forces for Multiscale Land Use Changes Based on Multiscale Regression Model and Multi-Level Model

In order to reveal the quantitative impact of multiscale on driving forces in land-use change, this paper constructs a Multiscale Regression Analysis Model (MRAM), a binary response variable Two-level Logistic Regression Model (TLRM) to explore the core driving forces, the quantitative impact relationships of multiscale. Based on the two models constructed, this paper further deeply analyzes the driving mechanism of multiscale land use change, and compares the analysis results supported by the data from 1999 to 2008 on the three-scale of Yunnan Province, Kunming City, and Yiliang County as an empirical study area. The results show that the MRAM based on scale-oriented comparison can reveal the core factors which cause land-use change at different scale levels from a more microscopic opinion, but the TLRM based on systematic viewpoint can better consider the quantitative influence of the multiscale. In addition, the results also show that the core driving factors of multiscale land use changes present a subset relationship deduced by the two models. These two analysis methods can reveal the multiscale driving mechanism of land-use change from macroscopic and microscopic respectively. This is very important to enrich the system of theory and method for study of the drive mechanism of land use changes.