Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Autokorrelacioni Hapësinor× | Indeksi I i Moranit× | |
|---|---|---|
| Fusha | Analiza hapësinore | Analiza hapësinore |
| Familja | Regression model | Regression model |
| Viti i origjinës | 1950 | 1950 |
| Krijuesi≠ | P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995) | Patrick A. P. Moran |
| Lloji≠ | Spatial statistic / exploratory spatial data analysis | Spatial autocorrelation statistic |
| Burimi themelues | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ |
| Emërtime të tjera | spatial dependence, geographic autocorrelation, spatial clustering measure, SA | Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index |
| Të lidhura≠ | 5 | 6 |
| Përmbledhja≠ | Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations. | 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. |
| ScholarGateSeti i të dhënave ↗ |
|
|