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| Robuster Moran-I× | Lokales Moran-I (LISA)× | |
|---|---|---|
| Fachgebiet | Räumliche Analyse | Räumliche Analyse |
| Familie | Regression model | Regression model |
| Entstehungsjahr≠ | 1990s–2000s | 1995 |
| Urheber≠ | Extension of Moran (1950); robust adaptations developed in spatial statistics literature | Luc Anselin |
| Typ≠ | Robust spatial autocorrelation statistic | Local spatial autocorrelation statistic |
| Wegweisende Quelle | 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 ↗ |
| Aliasnamen | outlier-resistant Moran's I, robust spatial autocorrelation test, median-based Moran statistic, robust global spatial association | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index |
| Verwandt | 6 | 6 |
| Zusammenfassung≠ | Robust Moran's I is an outlier-resistant adaptation of the classic Moran's I spatial autocorrelation statistic. By replacing the standard mean-based standardization with resistant measures of center and spread, it detects genuine geographic clustering without being distorted by a small number of extreme values in the attribute of interest. | 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. |
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