Application and evaluation of spatial heterogeneity model in the simulation of urban expansion

Update item information
Publication Type pre-print
School or College College of Social & Behavioral Science
Department Geography
Creator Liao, Haifeng
Other Author Wu, Wei; Zhou, Sheng-lu.; Wei, Ye-hua
Title Application and evaluation of spatial heterogeneity model in the simulation of urban expansion
Date 2013-01-01
Description Based on remote sensing images and GIS data, we applied spatial expansion expansion method and geographically weighted logistic regression (GWLR) model to explore the driving forces of urban expansion in Jiangning District of Nanjing from 1999 to 2010. Special attention was paid to spatial heterogeneity of key factors behind urban growth. The results show that 1) the spatial expansion method and GWLR model explained 57%, 64% of the urban land change of the area under study over the period from 1999 to 2010. The two methods both enhanced explanatory power in comparison with the global regression model (51%) and confirmed the spatially non-stationary process of urban growth; 2) compared with spatial expansion method, GWLR model is more effective in characterizing the spatial variations of the underlying factors of urban growth and therefore, it can be well applied to explore the mechanisms of urban expansion and policy making, as evidenced in the research; and 3 ) among various explanatory factors, DIS2INDU, DIS2ORD (proximity variables), DIS2cent 9neighborhood variables) DENURBAN ( policy variables) are the key driving factors of urban expansion in the area under investigation.
Type Text
Publisher Hunan University, Periodical Press
Volume 40
Issue 12
First Page 115
Last Page 119
Language eng
Bibliographic Citation Wu, W., Zhou, S.-L., Wei, Y.-H., & Liao, H.-F. (2013). Application and evaluation of spatial heterogeneity model in the simulation of urban expansion. Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 40(12), 115-9. .
Format Medium application/pdf
Format Extent 1,712,492 bytes
Identifier uspace,18443
ARK ark:/87278/s6991h1f
Setname ir_uspace
Date Created 2014-03-28
Date Modified 2014-03-28
ID 712049
Reference URL https://collections.lib.utah.edu/ark:/87278/s6991h1f
Back to Search Results