Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Local Moran's I (LISA)× | Ruumiassotsiatsiooni kohalikud indikaatorid (LISA)× | |
|---|---|---|
| Valdkond | Ruumianalüüs | Ruumianalüüs |
| Perekond | Regression model | Regression model |
| Tekkeaasta | 1995 | 1995 |
| Looja | Luc Anselin | Luc Anselin |
| Tüüp≠ | Local spatial autocorrelation statistic | Local spatial statistic |
| Algallikas≠ | Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Rööpnimetused | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| Seotud | 6 | 6 |
| Kokkuvõte≠ | 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. | 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. |
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