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A Local Indicator of Multivariate Spatial Association: Extending Geary's c
Author(s) -
Anselin Luc
Publication year - 2019
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/gean.12164
Subject(s) - multivariate statistics , statistic , univariate , multivariate analysis , statistics , context (archaeology) , permutation (music) , interpretation (philosophy) , scan statistic , multivariate analysis of variance , mathematics , geography , computer science , archaeology , physics , acoustics , programming language
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.