权重矩阵对空间自相关的影响分析

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.本文详细分析了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异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.

ANALYZING THE EFFECT OF SPATIAL WEIGHTED MATRIX ON SPATIAL AUTOCORRELATION

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.