摘要
以谷城县2009年土地利用现状为研究对象,在分析不同尺度土地利用程度及其驱动因子空间自相关的基础上,分别从全局和局部的角度考虑,建立空间自回归模型和地理加权回归模型。结果表明:该区土地利用程度及其驱动因子都存在一定的空间自相关性,并且具有尺度效应;空间自回归模型可以对各因子进行全局的参数估计,而地理加权回归模型可以给出局部模型的拟合度及驱动因子的参数估计,同时不同尺度地理加权回归模型对地理信息反映详略有一定的影响。
The spatial distribution of Valley County land use degree in 2009 was studied and the spatial autocorrelation of land use degree and its driving factors in different scales were analyzed.A spatial autoregressive model and geographically weighted regression model was established from the perspective of global local.The results showed that there was a certain spatial autocorrelation in land use degree and its driving factors with scale effect.Spatial regression model could estimate the overall parameter of various factors while geographically weighted regression model could give the local parameter of various factors.Scales of geographical weighted regression model could reflect the detailed geographical information to some extent.
出处
《华中农业大学学报》
CAS
CSCD
北大核心
2013年第4期48-54,共7页
Journal of Huazhong Agricultural University
基金
国家自然科学基金项目(40601073)
中央高校基本科研业务费专项(2011PY112
2011QC041)
华中农业大学自主科技创新基金项目(2011SC21)
关键词
土地利用程度
空间自相关回归
地理加权回归
尺度效应
地理信息
land use degree comprehensive index
spatial autocorrelation regresion
geographically weighted regression
scale effect
geographic information
