Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Romlig autokorrelasjon× | Lokale indikatorer for romlig assosiasjon (LISA)× | |
|---|---|---|
| Fagfelt | Romlig analyse | Romlig analyse |
| Familie | Regression model | Regression model |
| Opprinnelsesår≠ | 1950 | 1995 |
| Opphavsperson≠ | P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995) | Luc Anselin |
| Type≠ | Spatial statistic / exploratory spatial data analysis | Local spatial statistic |
| Opprinnelig kilde≠ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Alias | spatial dependence, geographic autocorrelation, spatial clustering measure, SA | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| Relaterte≠ | 5 | 6 |
| Sammendrag≠ | 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. | 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. |
| ScholarGateDatasett ↗ |
|
|