Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Autocorrelação Espacial C de Geary para Dados em Painel× | Autocorrelação Espacial em Painel× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1954 (base); 2000s (panel extension) | 1988–2003 |
| Autor original≠ | R. C. Geary (1954); panel extension in spatial econometrics literature | Anselin, L.; Elhorst, J. P. |
| Tipo≠ | Spatial autocorrelation statistic | Diagnostic test / exploratory statistic |
| Fonte seminal≠ | Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115-145. link ↗ | Anselin, L. (2013). Spatial Econometrics: Methods and Models. Springer Netherlands. (Originally published 1988.) ISBN: 978-9401577991 |
| Outros nomes | Geary's C for panel data, spatial Geary C panel, panel spatial contiguity ratio, panel Geary contiguity statistic | spatial autocorrelation in panel data, panel spatial dependence, spatio-temporal autocorrelation, cross-sectional dependence in panels |
| Relacionados≠ | 4 | 5 |
| Resumo≠ | Panel Geary's C extends the classic Geary contiguity ratio to panel datasets, measuring spatial autocorrelation across georeferenced units (regions, cities, countries) observed over multiple time periods. It detects whether neighboring units tend to have similar values, pooling or averaging evidence across the temporal dimension to yield more powerful inference than a single cross-section. | Panel Spatial Autocorrelation measures whether observations that are geographically close also tend to have similar values across repeated time periods. It extends classic cross-sectional spatial autocorrelation statistics such as Moran's I to panel data, enabling researchers to detect spatial dependence consistently over time and to diagnose whether a panel regression model requires a spatial component. |
| ScholarGateConjunto de dados ↗ |
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