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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)