方法对比
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| 面板热点分析× | 局部空间关联指标 (LISA)× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1992 (Gi* statistic); 2004 (longitudinal/panel extension) | 1995 |
| 提出者≠ | Weisburd et al. (longitudinal application); Getis & Ord (foundational Gi* statistic) | Luc Anselin |
| 类型≠ | Spatio-temporal hot spot detection | Local spatial statistic |
| 开创性文献≠ | 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 ↗ |
| 别名 | 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 |
| 相关≠ | 4 | 6 |
| 摘要≠ | 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. |
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