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| Analisi dei punti caldi (Hot Spot Analysis) con Getis-Ord Gi* locale× | Indicatori Locali di Associazione Spaziale (LISA)× | |
|---|---|---|
| Campo | Analisi spaziale | Analisi spaziale |
| Famiglia | Regression model | Regression model |
| Anno di origine≠ | 1992–1995 | 1995 |
| Ideatore≠ | Arthur Getis and J. Keith Ord | Luc Anselin |
| Tipo≠ | Local spatial association statistic | Local spatial statistic |
| Fonte seminale≠ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Alias | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| Correlati≠ | 5 | 6 |
| Sintesi≠ | The Local Getis-Ord Gi* statistic identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots) within a study area. Unlike global measures, it produces a z-score for every location, revealing where concentrated clustering occurs and with what statistical confidence. | 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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