Moran's index used to be considered to come between -1 and 1. However, in recent years, some scholars argued that the boundary value of Moran's index is determined by the minimum and maximum eigenvalues of spatial weight matrix . This paper is devoted to exploring the bounds of Moran's index from a new prospective. The main analytical processes are quadratic form transformation and the method of finding conditional extremum based on quadratic form. The results show that there are at least two sets of boundary values for Moran's index. One is determined by the eigenvalues of spatial weight matrix, and the other is determined by the quadratic form of spatial autocorrelation coefficient (-1<Moran's I<1). The intersection of these two sets of boundary values gives four possible numerical ranges of Moran's index. A conclusion can be reached that the bounds of Moran's index is determined by size vector and spatial weight matrix, and the basic boundary values are -1 and 1. The eigenvalues of spatial weight matrix represent the maximum extension length of then eigenvector axes of n geographical elements at different directions.
翻译:Moran的指数过去被认为介于-1和1.之间,然而,近年来,一些学者认为,Moran的指数的边界值是由空间重量矩阵最小值和最大电子值决定的。本文件专门探讨新前景中Moran指数的界限。主要的分析过程是二次形式变异,以及根据二次形式找到有条件的极限的方法。结果显示,Moran的指数至少有两组边界值。其中一组是由空间重量矩阵的埃因值决定的,另一组是由空间自动变异系数的二次形式(-1<Moran's I < 1)决定的。这两组边界值的交叉点提供了Moran指数的四种可能的数值范围。可以得出这样的结论:莫兰指数的界限由大小矢量和空间重量矩阵确定,基本边界值为-1和1。空间重量矩阵的埃因值代表当时不同地理要素 n 方向的最大扩展长度。