YANG Yong1, REN Zhi-yuan2
(1 College of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450002, Henan, China;2 College of Tourism and Environment, Shaanxi Normal University,Xi′an 710062, Shaanxi, China)
Abstract:
Using remote sensing interpreter data as variable data,natural and social economic data as independent variable,based on multi-original data merge,the micro-study of driving force of land use in Guanzhong region was made by using spatial autocorrelation model. The results showed that the main factors associated with the forest′s distribution are slope and relief,the main factors associated with the cultivated land′s distribution are slope, relief and organic matter content, the main factors related to the construction land′s distribution are relief, drainage density and accessibility of the road. Through the comparison of the model, spatial autoregressive model that considering the spatial autocorrelation can better explain the influencing factors of land use pattern from space.
KeyWords:
land use; affecting factors; spatial autoregression; Guanzhong region
