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Table 8 Estimated p-value for different crime types at different time interval

From: Crime event prediction with dynamic features

Time Interval

Theft

Drug Offence

Assault

Fraud

Unlawful Entry

Traffic Related Offence

(a) Brisbane

[9–12)

0.04

0.95

0.172

0.02

0.81

0.81

[12–15)

0.002

0.589

0.828

0.019

0.97

0.97

[15–18)

0.01

0.01

0.987

0.02

0.189

0.19

[18–21)

0.189

0.631

0.877

0.83

0.4

0.04

[21–24)

0.01

0.048

0.1

0.828

0.4

0.42

(b) New York City

[9–12)

\(1.5e^{-8}\)

0.005

\(1.68e^{-7}\)

0.0007

0.31

0.31

[12–15)

\(2.84e^{-8}\)

\(3.09e^{-7}\)

\(1.44e^{-6}\)

0.0001

0.05

0.03

[15–18)

\(2.2e^{-7}\)

\(3.45e^{-5}\)

\(1.09e^{-5}\)

0.002

0.31

0.02

[18–21)

\(2.2e^{-7}\)

\(5.12e^{-6}\)

\(6.94e^{-9}\)

0.03

0.006

0.001

[21–24)

\(4.25e^{-7}\)

\(9.15e^{-6}\)

\(1.73e^{-7}\)

0.03

0.02

0.01