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| 패널 핫스팟 분석× | 시공간 핫스팟 분석× | |
|---|---|---|
| 분야 | 공간분석 | 공간분석 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1992 (Gi* statistic); 2004 (longitudinal/panel extension) | 1997–2015 |
| 창시자≠ | Weisburd et al. (longitudinal application); Getis & Ord (foundational Gi* statistic) | Kulldorff (spatial scan statistic); operationalized for time-series bins by Esri (Emerging Hot Spot Analysis) |
| 유형≠ | Spatio-temporal hot spot detection | Spatiotemporal cluster detection |
| 원전≠ | 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 ↗ | Kulldorff, M. (1997). A spatial scan statistic. Communications in Statistics: Theory and Methods, 26(6), 1481–1496. DOI ↗ |
| 별칭 | longitudinal hot spot analysis, repeated cross-sectional hot spot analysis, spatio-temporal hot spot detection, panel Getis-Ord analysis | emerging hot spot analysis, space-time cube hot spot, spatiotemporal hot spot detection, STHA |
| 관련≠ | 4 | 5 |
| 요약≠ | 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. | Space-Time Hot Spot Analysis extends the classic Getis-Ord Gi* statistic across repeated time slices organised in a space-time cube. By testing each location-time bin for statistically significant clustering of high or low values, then examining the sequence of results over time, it identifies whether clusters are new, intensifying, persistent, sporadic, or diminishing — giving analysts a dynamic picture of how hot and cold spots evolve. |
| ScholarGate데이터셋 ↗ |
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