Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Moran's I Global× | Autokorrelacioni Hapësinor× | |
|---|---|---|
| Fusha | Analiza hapësinore | Analiza hapësinore |
| Familja | Regression model | Regression model |
| Viti i origjinës | 1950 | 1950 |
| Krijuesi≠ | Patrick Alfred Pierce Moran | P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995) |
| Lloji≠ | Global spatial autocorrelation test / index | Spatial statistic / exploratory spatial data analysis |
| 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 | Moran's I, global spatial autocorrelation index, Moran index, GMI | spatial dependence, geographic autocorrelation, spatial clustering measure, SA |
| Të lidhura≠ | 6 | 5 |
| Përmbledhja≠ | Global Moran's I is the most widely used single-number summary of spatial autocorrelation across an entire study area. It compares the attribute value at each location with values at neighbouring locations using a spatial weights matrix, and returns a statistic ranging from −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering). A significance test determines whether the observed pattern is stronger than random chance. | 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. |
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