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Near-Repeat Analysis×تحليل النقاط الساخنة (Getis-Ord Gi*)×
المجالCriminologyالتحليل المكاني
العائلةProcess / pipelineRegression model
سنة النشأة20031992
صاحب الطريقةMichael Townsley, Shane Johnson & Kate BowersArthur Getis and J. Keith Ord
النوعSpace-time clustering test for crime contagionLocal spatial statistic
المصدر التأسيسيTownsley, M., Homel, R., & Chaseling, J. (2003). Infectious burglaries: A test of the near repeat hypothesis. British Journal of Criminology, 43(3), 615–633. DOI ↗Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗
الأسماء البديلةNear Repeat Calculator Method, Space-Time Near-Repeat Analysis, Near-Repeat Victimization, Contagion Crime Pattern AnalysisGetis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA
ذات صلة45
الملخصNear-repeat analysis tests whether crimes cluster in space and time beyond chance: after a crime occurs, are nearby locations at elevated risk for a short period? Developed in the early 2000s by Townsley, Johnson, Bowers and colleagues for burglary, it formalizes the 'contagion' or 'communicable disease' pattern of crime using a Knox space-time test against a Monte Carlo reference distribution.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.
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ScholarGateقارن الطرق: Near-Repeat Analysis · Hot Spot Analysis. استُرجع بتاريخ 2026-06-24 من https://scholargate.app/ar/compare