Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| C de Geary Espaço-Temporal× | Autocorrelação Espaço-Temporal Espacial× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1954 / 2010s | 1981–1992 |
| Autor original≠ | Geary (1954); extended to space-time by Anselin and others | Cliff & Ord; extended by Anselin and others |
| Tipo | Spatial autocorrelation statistic | Spatial autocorrelation statistic |
| Fonte seminal≠ | Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115-145. DOI ↗ | Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134. DOI ↗ |
| Outros nomes | ST-Geary's C, spatiotemporal Geary C, space-time contiguity ratio, space-time local spatial autocorrelation | STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence |
| Relacionados≠ | 6 | 5 |
| Resumo≠ | Space-Time Geary's C extends the classical Geary contiguity ratio to panel or longitudinal spatial data, measuring autocorrelation across both geographic neighbors and adjacent time periods simultaneously. Values below 1 indicate positive space-time clustering; values above 1 indicate dispersion, and a value near 1 suggests random arrangement across the space-time lattice. | Space-Time Spatial Autocorrelation extends classic spatial autocorrelation measures — most notably Moran's I — to data that vary across both geographic units and time periods. It detects whether nearby locations that are also temporally close tend to share similar attribute values, revealing clusters, trends, or anomalies that purely spatial or purely temporal analyses would miss. |
| ScholarGateConjunto de dados ↗ |
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