Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| C de Geary Local× | Indicadores Locais de Associação Espacial (LISA)× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem | 1995 | 1995 |
| Autor original | Luc Anselin | Luc Anselin |
| Tipo | Local spatial statistic | Local spatial statistic |
| Fonte seminal | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Outros nomes | Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| Relacionados | 6 | 6 |
| Resumo≠ | Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity. | 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. |
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