Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Paikallinen Moran's I (LISA)× | Moran's I× | |
|---|---|---|
| Tieteenala | Spatiaalianalyysi | Spatiaalianalyysi |
| Menetelmäperhe | Regression model | Regression model |
| Syntyvuosi≠ | 1995 | 1950 |
| Kehittäjä≠ | Luc Anselin | Patrick A. P. Moran |
| Tyyppi≠ | Local spatial autocorrelation statistic | Spatial autocorrelation statistic |
| Alkuperäislähde≠ | 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 ↗ |
| Rinnakkaisnimet | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index | Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index |
| Liittyvät | 6 | 6 |
| Tiivistelmä≠ | Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map. | 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. |
| ScholarGateAineisto ↗ |
|
|