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Table 10 The most correlated features with Theft

From: Crime event prediction with dynamic features

[15–18) pm

[21–24) pm

Positive coefficient

Negative coefficient

Positive coefficient

Negative coefficient

(a) Brisbane

30-days Crime Density (Population based) (\(1.1e^{+02}\))

7-days Crime Density (Population based) (\(-1.1e^{+02}\))

30-days Crime Density (Population based) (52.67)

7-days Crime Density (population based) (−52.5)

Seasonal Crime Density (0.71)

Visitor Homogeneity (−0.43)

Seasonal Crime Density (1.3)

Visitor Count (−0.61)

Visitor Count (0.56)

30-days crime Density (Area based) (−0.39)

Visitor Homogeneity (0.67)

Gender Ratio (−0.32)

Location Diversity (0.32)

Median Income (−0.16)

30-days Crime Density (Area based) (0.66)

Median Income (−0.13)

Gender Ratio (0.27)

Region Popularity (−0.12)

Median Age (0.4)

POI Category Distribution (Outdoor and Recreation) (−0.08)

POI Category Distribution (Shop and Services) (0.266)

7-days Crime Density (Area based) (−0.12)

Region Poularity (0.356)

POI Category Distribution (College and University) (−0.06)

(b) New York City

Seasonal Crime Density (0.99)

30-days Crime Density (Area based) (−0.35)

Seasonal Crime Density (2.12)

30-days Crime Density (Area based) (−2.14)

7-days Crime Density (Population based) (0.36)

POI Category Distribution (Nightlife) (−0.17)

30-days Crime Density (Population based) (1.17)

7-days Crime Density (population based) (−0.71)

Gender Ratio (0.27)

30-days Crime Density (Population based) (−0.13)

Gender Ratio (0.22)

Visitor Entropy (−0.095)

Regional Diversity (0.26)

POI Category Distribution (Travel and Transport) (−0.09)

Venue Category Density (0.17)

Median Age (−0.06)

Rented House (0.18)

POI Category Distribution (Outdoor and Recreation) (−0.06)

Observation Frequency (0.16)

Ethnic Diversity (−0.05)

Observation Frequency (0.16)

Visitor Ratio (−0.05)

Economic Diversity (0.157)

POI Category Distribution (Travel and Transport) (−0.04)