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Fig. 2 | Crime Science

Fig. 2

From: Overlapped Bayesian spatio-temporal models to detect crime spots and their possible risk factors based on the Opole Province, Poland, in the years 2015–2019

Fig. 2

Cold-spots and hot-spots of total crime in Opole, Poland, in the years 2015–2019. The map in A is the result of the overlap of the same vertical or horizontal hatched surfaces representing territories with significantly moderate (p < 0.05) or excessive crime risks in space and over time, respectively (documented in the previous thematic maps in Fig. 1). In turn, in B, the most significant difference in crime rates per reference population is shown between cold and hot-spot areas found in the combined spatio-temporal Bayesian approach

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Crime Science

ISSN: 2193-7680

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