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

Anselin, Luc

Geographical analysis, 2019-04, Vol.51 (2), p.133-150 [Periódico revisado por pares]

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Título:
A Local Indicator of Multivariate Spatial Association: Extending Geary's c
Autor: Anselin, Luc
É parte de: Geographical analysis, 2019-04, Vol.51 (2), p.133-150
Descrição: 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.
Idioma: Inglês

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