Methoden vergleichen
Prüfen Sie die ausgewählten Methoden nebeneinander; abweichende Zeilen sind hervorgehoben.
| Lokale Indikatoren für räumliche Assoziation (LISA)× | Moran's I× | |
|---|---|---|
| Fachgebiet | Räumliche Analyse | Räumliche Analyse |
| Familie | Regression model | Regression model |
| Entstehungsjahr≠ | 1995 | 1950 |
| Urheber≠ | Luc Anselin | Patrick A. P. Moran |
| Typ≠ | Local spatial statistic | Spatial autocorrelation statistic |
| Wegweisende Quelle≠ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ |
| Aliasnamen | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA | Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index |
| Verwandt | 6 | 6 |
| Zusammenfassung≠ | LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence. | 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. |
| ScholarGateDatensatz ↗ |
|
|