Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Τεστ Χωρικής Αυτοσυσχέτισης I του Moran× | Χωρικό Μοντέλο Durbin (SDM)× | |
|---|---|---|
| Πεδίο | Χωρική Ανάλυση | Χωρική Ανάλυση |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 1950 | 2009 |
| Δημιουργός≠ | Patrick A. P. Moran | LeSage & Pace |
| Τύπος≠ | Global spatial autocorrelation statistic | Spatial regression model |
| Θεμελιώδης πηγή≠ | Moran, P.A.P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| Εναλλακτικές ονομασίες | global Moran's I, spatial autocorrelation test, Moran's I Uzamsal Otokorelasyon Testi | SDM, spatial mixed model, uzamsal durbin modeli |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | 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 Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|