Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Telpas-laika Morana I indekss× | Getis-Ord Gi* statistika laika un telpā× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1981 | 1992 (Gi*); space-time extension ~2000s–2010s |
| Autors≠ | Cliff & Ord (extended to space-time domain) | Getis & Ord (seminal); space-time extension developed in GIS literature and ArcGIS Emerging Hot Spot Analysis |
| Tips≠ | Spatial autocorrelation statistic | Local spatial statistic (space-time extension) |
| Pirmavots≠ | Cliff, A. D., & Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion. ISBN: 978-0850860818 | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ |
| Citi nosaukumi | space-time autocorrelation index, ST Moran's I, spatiotemporal Moran's I, space-time I statistic | ST-Gi*, space-time hot spot analysis, emerging hot spot analysis, space-time local autocorrelation statistic |
| Saistītās≠ | 5 | 4 |
| Kopsavilkums≠ | 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. | The Space-Time Getis-Ord Gi* statistic extends the classic Gi* local hot spot measure into three dimensions — two spatial and one temporal — revealing not only where concentrations of high or low values cluster, but how those clusters evolve, intensify, or diminish over time. It is widely used in crime analysis, epidemiology, ecology, and urban studies. |
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