Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Paneeli kuumade punktide analüüs× | Ruumiassotsiatsiooni kohalikud indikaatorid (LISA)× | |
|---|---|---|
| Valdkond | Ruumianalüüs | Ruumianalüüs |
| Perekond | Regression model | Regression model |
| Tekkeaasta≠ | 1992 (Gi* statistic); 2004 (longitudinal/panel extension) | 1995 |
| Looja≠ | Weisburd et al. (longitudinal application); Getis & Ord (foundational Gi* statistic) | Luc Anselin |
| Tüüp≠ | Spatio-temporal hot spot detection | Local spatial statistic |
| Algallikas≠ | Weisburd, D., Bushway, S., Lum, C., & Yang, S.-M. (2004). Trajectories of crime at places: A longitudinal study of street segments in the city of Seattle. Criminology, 42(2), 283-321. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Rööpnimetused | longitudinal hot spot analysis, repeated cross-sectional hot spot analysis, spatio-temporal hot spot detection, panel Getis-Ord analysis | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| Seotud≠ | 4 | 6 |
| Kokkuvõte≠ | Panel Hot Spot Analysis applies hot spot detection — typically via the Getis-Ord Gi* statistic — repeatedly across multiple time periods on the same spatial units, enabling researchers to track where clusters of high or low values persist, emerge, or dissolve over time. It bridges cross-sectional spatial statistics with longitudinal panel methods. | 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. |
| ScholarGateAndmestik ↗ |
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