Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Daudzskalu Morana I× | Geary C× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1950 (base); multiscale variant 1980s-1990s | 1954 |
| Autors≠ | P. A. P. Moran (base statistic, 1950); multiscale extension developed through spatial ecology and geography literature | Roy C. Geary |
| Tips | Spatial autocorrelation statistic | Spatial autocorrelation statistic |
| Pirmavots≠ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1-2), 17-23. DOI ↗ | Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145. link ↗ |
| Citi nosaukumi | multi-scale Moran's I, spatial correlogram Moran, Moran correlogram, multiscale spatial autocorrelation | Geary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c |
| Saistītās≠ | 6 | 4 |
| Kopsavilkums≠ | Multiscale Moran's I extends the classic global Moran's I statistic by computing spatial autocorrelation across a series of distance lags or spatial scales. The resulting spatial correlogram reveals at which geographic scales clusters or dispersions of a variable exist, offering richer insight than a single summary statistic. | Geary's C is a global spatial autocorrelation statistic that measures whether nearby areal units share similar attribute values. Unlike Moran's I, it focuses on squared differences between adjacent pairs rather than cross-products of deviations from the mean, making it more sensitive to local dissimilarity and less influenced by global trends. |
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