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| Local Hot Spot Analysis× | Τοπικοί Δείκτες Χωρικής Συσχέτισης (LISA)× | |
|---|---|---|
| Πεδίο | Χωρική Ανάλυση | Χωρική Ανάλυση |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 1992-1995 | 1995 |
| Δημιουργός≠ | Getis & Ord; Ord & Getis | Luc Anselin |
| Τύπος | Local spatial statistic | Local spatial statistic |
| Θεμελιώδης πηγή≠ | Ord, J. K., & Getis, A. (1995). Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis, 27(4), 286-306. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Εναλλακτικές ονομασίες | local Getis-Ord Gi*, Gi* statistic, spatial hot spot detection, local spatial clustering | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| Συναφείς≠ | 5 | 6 |
| Σύνοψη≠ | Local Hot Spot Analysis uses the Getis-Ord Gi* statistic to identify specific geographic locations where high or low values cluster together more than expected by chance. Unlike global measures that return a single summary for the whole study area, this local statistic produces a z-score for each feature, pinpointing exactly where statistically significant hot spots and cold spots occur. | 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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