Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Prostorově-časový Gearyho koeficient C× | Moranovo I× | |
|---|---|---|
| Obor | Prostorová analýza | Prostorová analýza |
| Rodina | Regression model | Regression model |
| Rok vzniku≠ | 1954 / 2010s | 1950 |
| Tvůrce≠ | Geary (1954); extended to space-time by Anselin and others | Patrick A. P. Moran |
| Typ | Spatial autocorrelation statistic | Spatial autocorrelation statistic |
| Původní zdroj≠ | Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115-145. DOI ↗ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ |
| Další názvy | ST-Geary's C, spatiotemporal Geary C, space-time contiguity ratio, space-time local spatial autocorrelation | Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index |
| Příbuzné | 6 | 6 |
| Shrnutí≠ | 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. | 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. |
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