Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Autocorrelação Espacial Local× | C de Geary Local× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem | 1995 | 1995 |
| Autor original | Luc Anselin | Luc Anselin |
| Tipo≠ | Spatial association analysis | 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 spatial association, local SA, LISA methods, local spatial clustering | Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic |
| Relacionados | 6 | 6 |
| Resumo≠ | Local Spatial Autocorrelation methods decompose global spatial clustering into location-specific statistics, revealing where in a study area significant clustering or dispersion occurs. Each observation receives its own association score and significance value, enabling the detection of spatial hot spots, cold spots, and spatial outliers rather than reporting a single summary statistic. | 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. |
| ScholarGateConjunto de dados ↗ |
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