Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Getis-Ord Gi* Hot Spot Analyse× | Moran's I× | |
|---|---|---|
| Vakgebied | Ruimtelijke analyse | Ruimtelijke analyse |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 1992 | 1950 |
| Grondlegger≠ | Arthur Getis and J. Keith Ord | Patrick A. P. Moran |
| Type≠ | Local spatial statistic | Spatial autocorrelation statistic |
| Oorspronkelijke bron≠ | Getis, A. & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ |
| Aliassen≠ | hot spot analysis, cold spot analysis, Gi* statistic, local Gi statistic | Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index |
| Verwant≠ | 4 | 6 |
| Samenvatting≠ | Getis-Ord Gi* is a local spatial statistic, introduced by Getis and Ord in 1992 and refined in 1995, that compares the value at each location and its neighbours against the global mean to identify statistically significant clusters of high values (hot spots) and low values (cold spots). | 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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