Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Moran's I telpašās autokorelācijas tests× | Pīrsona momentu korelācijas koeficients× | |
|---|---|---|
| Nozare≠ | Telpiskā analīze | Statistika |
| Saime≠ | Regression model | Hypothesis test |
| Izcelsmes gads≠ | 1950 | 1895 |
| Autors≠ | Patrick A. P. Moran | Karl Pearson |
| Tips≠ | Global spatial autocorrelation statistic | Parametric correlation |
| Pirmavots≠ | Moran, P.A.P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗ |
| Citi nosaukumi≠ | global Moran's I, spatial autocorrelation test, Moran's I Uzamsal Otokorelasyon Testi | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi |
| Saistītās≠ | 5 | 4 |
| Kopsavilkums≠ | Moran's I is a global statistic, introduced by Patrick Moran in 1950, that measures whether and how a continuous variable is spatially autocorrelated across mapped units. A positive value signals clustering of similar values, a negative value signals a dispersed (checkerboard) pattern, and it is most often used as a diagnostic before moving to spatial regression. | The Pearson product-moment correlation coefficient (r) is a parametric measure of the direction and strength of the linear association between two continuous variables. Introduced by Karl Pearson in 1895, it remains the most widely used bivariate correlation statistic in the social, health, and natural sciences. The coefficient ranges from −1 (perfect negative linear relationship) to +1 (perfect positive), with 0 indicating no linear association. |
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