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| Analisis Bintik Panas Panel× | Analisis Bintik Panas (Getis-Ord Gi*)× | |
|---|---|---|
| Bidang | Analisis Reruang | Analisis Reruang |
| Keluarga | Regression model | Regression model |
| Tahun asal≠ | 1992 (Gi* statistic); 2004 (longitudinal/panel extension) | 1992 |
| Pengasas≠ | Weisburd et al. (longitudinal application); Getis & Ord (foundational Gi* statistic) | Arthur Getis and J. Keith Ord |
| Jenis≠ | Spatio-temporal hot spot detection | Local spatial statistic |
| Sumber perintis≠ | 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 ↗ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ |
| Alias | longitudinal hot spot analysis, repeated cross-sectional hot spot analysis, spatio-temporal hot spot detection, panel Getis-Ord analysis | Getis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA |
| Berkaitan≠ | 4 | 5 |
| Ringkasan≠ | 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. | Hot Spot Analysis uses the Getis-Ord Gi* local spatial statistic to identify geographic locations where high or low attribute values cluster together to a degree that is statistically significant. Each feature is evaluated in relation to its neighbours, producing a z-score that flags genuine spatial hot spots and cold spots against a background of random variation. |
| ScholarGateSet data ↗ |
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