Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| I de Moran Espaço-Tempo× | Autocorrelação Espaço-Temporal Espacial× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1981 | 1981–1992 |
| Autor original≠ | Cliff & Ord (extended to space-time domain) | Cliff & Ord; extended by Anselin and others |
| Tipo | Spatial autocorrelation statistic | Spatial autocorrelation statistic |
| Fonte seminal≠ | Cliff, A. D., & Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion. ISBN: 978-0850860818 | 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 | space-time autocorrelation index, ST Moran's I, spatiotemporal Moran's I, space-time I statistic | STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence |
| Relacionados | 5 | 5 |
| Resumo≠ | Space-Time Moran's I extends the classic Moran's I statistic into the spatiotemporal domain, measuring whether observations that are close in both space and time tend to be more similar than those that are distant. It detects clustering, dispersion, or randomness across a combined space-time weight matrix, making it a foundational tool in epidemiology, criminology, and environmental monitoring. | 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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