From: Built environment attributes and crime: an automated machine learning approach
Anti-social behaviour | Bicycle theft | Burglary | Criminal damage and arson | Drugs | Possession of weapons | Public order | Robbery | Shoplifting | Theft from the person | Vehicle Crime | Violence and sexual offences | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Building | 0.049171736 | 0.00419465 | 0.002945274 | 0.017695427 | 0.012567089 | 0.075277432 | 0.000659354 | 0.008140438 | 0.009503511 | 0.0000146 | 0.060032852 | 0.000323175 |
Door | 0.009615258 | 0.020793548 | 0.006651332 | 0.000901065 | 0.010684809 | 0.103274205 | 0.007500919 | 0.027079278 | 0.017311229 | 0.004289079 | 0.060832707 | 0.000445047 |
Fence | 0.007773285 | 0.075287479 | 0.07721061 | 0.100997268 | 0.001947025 | 0.001496339 | 0.000793808 | 0.11040128 | 0.001095057 | 0.001080291 | 0.023048432 | 0.001022461 |
Streetlight | 0.003570158 | 0.025418916 | 0.01303054 | 0.00027064 | 0.000587713 | 0.002820387 | 0.000823301 | 0.002054649 | 0.009862088 | 6.52E−06 | 0.001494906 | 0.003103302 |
Tree | 0.017455794 | 0.042665303 | 0.003518992 | 0.00027231 | 0.329965117 | 0.000790135 | 0.0004865 | 0.305091336 | 0.004736951 | 0.035206987 | 0.022780964 | 0.000388565 |
Window | 0.06136163 | 0.013984676 | 0.012640516 | 0.00075709 | 0.156903242 | 0.194567982 | 0.006014738 | 0.057928357 | 0.001242845 | 0.000234946 | 0.001962376 | 2.03E−06 |
Hedge | 0.009413935 | 0.152135475 | 0.001508649 | 0.004097326 | 0.021840133 | 0.021882287 | 0.000464755 | 0.000323893 | 0.00142401 | 0.006047027 | 0.007449936 | 0.002954804 |
Garage | 0.001524997 | 0.026887385 | 0.001979047 | 0.006038218 | 0.003143268 | 0.021624719 | 0.000398972 | 0.014427641 | 0.005301108 | 0.039748623 | 0.009864861 | 1.63E−05 |
Max | 0.06136163 | 0.152135475 | 0.07721061 | 0.100997268 | 0.329965117 | 0.194567982 | 0.007500919 | 0.305091336 | 0.017311229 | 0.039748623 | 0.060832707 | 0.003103302 |
Average | 0.019985849 | 0.045170929 | 0.01493562 | 0.016378668 | 0.0672048 | 0.052716686 | 0.002142793 | 0.065680859 | 0.0063096 | 0.01082851 | 0.023433379 | 0.001031965 |
Difference | 0.041375781 | 0.106964546 | 0.06227499 | 0.0846186 | 0.262760318 | 0.141851296 | 0.005358126 | 0.239410477 | 0.011001629 | 0.028920113 | 0.037399328 | 0.002071337 |