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| Lokalna autokorelacja przestrzenna× | Lokalna statystyka C Geary'ego× | |
|---|---|---|
| Dziedzina | Analiza przestrzenna | Analiza przestrzenna |
| Rodzina | Regression model | Regression model |
| Rok powstania | 1995 | 1995 |
| Twórca | Luc Anselin | Luc Anselin |
| Typ≠ | Spatial association analysis | Local spatial statistic |
| Źródło pierwotne | 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 ↗ |
| Inne nazwy | local spatial association, local SA, LISA methods, local spatial clustering | Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic |
| Pokrewne | 6 | 6 |
| Podsumowanie≠ | Local Spatial Autocorrelation methods decompose global spatial clustering into location-specific statistics, revealing where in a study area significant clustering or dispersion occurs. Each observation receives its own association score and significance value, enabling the detection of spatial hot spots, cold spots, and spatial outliers rather than reporting a single summary statistic. | Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity. |
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