摘要
空间权重矩阵定量表达了地理要素之间的空间关系,是空间统计分析的重要工具.该文详细分析了Arcgis9.3用于空间自相关分析的空间权重矩阵的生成方法,并以湖南省各县的城乡收入差距为例进行了实证分析.分析结果表明,随着各要素的平均影响范围增大,全局Moran’I呈曲线下降趋势,局部自相关的结果也出现明显差异.
Spatial weight matrix quantificationally expresses the spatial relationships between the geographic features, which is an important tool for spatial statistical analysis. The different methods in generating spatial weight matrix, which is used for spatial autocorrelation analysis in ArcGIS9.3, are analyzed by Hunan＇s county income gap between urban and rural as a case for empirical analysis. The analysis indicates that with the expansion of average influenced scope of each feature,the global Moran’I shows a curve drop,and the result of local spatial autocorrelation presents significant differences.
出处
《华南师范大学学报（自然科学版）》
CAS
北大核心
2010年第1期110-115,共6页
Journal of South China Normal University(Natural Science Edition)
基金
国家自然科学基金资助项目(40871086)
