Paper Info
Title
Comparative Analysis of Driving Forces for Multiscale Land Use Changes Based on Multiscale Regression Model and Multi-Level Model
Abstract
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.
Year
DOI
Venue
2018
10.1109/GEOINFORMATICS.2018.8557180
2018 26th International Conference on Geoinformatics
Keywords
Field
DocType
Land Use Change,LUCC,Construction Land,Multiscale,Driving Factors
Data mining,Computer science,Regression analysis,Land use, land-use change and forestry,Driving factors,Logistic regression,Empirical research,Land use
Conference
ISSN
ISBN
Citations 
2161-024X
978-1-5386-7620-2
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Lei Yuan103.38
Kun Yang24712.60
Linlin Song300.34