Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Indicadores Locais de Associação Espacial (LISA)× | Razão de Contiguidade C de Geary× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1995 | 1954 |
| Autor original≠ | Luc Anselin | Roy C. Geary |
| Tipo≠ | Local spatial statistic | Spatial autocorrelation statistic |
| Fonte seminal≠ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145. link ↗ |
| Outros nomes | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA | Geary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c |
| Relacionados≠ | 6 | 4 |
| Resumo≠ | LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence. | Geary's C is a global spatial autocorrelation statistic that measures whether nearby areal units share similar attribute values. Unlike Moran's I, it focuses on squared differences between adjacent pairs rather than cross-products of deviations from the mean, making it more sensitive to local dissimilarity and less influenced by global trends. |
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