ordinal method evaluation

geography university

spatial autocorrelation

agreement

correlation coefficients

spatial correlation

variables

rank correlation

discussion statistical analysis

covariance functions

Geographical Analysis

This paper extends the application of the Local Geary c statistic to a multivariate context. The statistic is conceptualized as a weighted distance in multivariate attribute space between an observation and its geographical neighbors. Inference is based on a conditional permutation approach. The interpretation of significant univariate Local Geary statistics is clarified and the differences with a multivariate case outlined. An empirical illustration uses Guerry's classic data on moral statistics in 1830s France.

A Local Indicator of Multivariate Spatial Association: Extending Geary's c