Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Índice de Autocorrelação Espacial Global de Moran× | Indicadores Locais de Associação Espacial (LISA)× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1950 | 1995 |
| Autor original≠ | Patrick A. P. Moran | Luc Anselin |
| Tipo≠ | Spatial autocorrelation statistic | Local spatial statistic |
| Fonte seminal≠ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Outros nomes | Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| Relacionados | 6 | 6 |
| Resumo≠ | Moran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number. | 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. |
| ScholarGateConjunto de dados ↗ |
|
|