Self-exciting spatio-temporal point process models predict the rate of events as a function of
space, time, and the previous history of events. These models naturally capture triggering …

Decision-making processes are increasingly based on intelligence gained from 'big data', ie,
extensive but complex datasets. This evolution of analyzing complex data using methods …

According to Laub (2004), criminology has a developmental life course with specific turning
points that allow for innovations in how we understand and respond to crime. I argue that …

The relationship between crime patterns and associated variables has drawn a lot of
attention. These variables play a critical role in crime prediction. While traditional regression …

This book explores how predictive policing transforms police work. Police departments
around the world have started to use data-driven applications to produce crime forecasts …

The concentration of police resources in stable crime hotspots has proven effective in
reducing crime, but the extent to which police can disrupt dynamically changing crime …

Patterns are the epistemological core of predictive policing. With the move towards digital
prediction tools, the authority of the pattern is rearticulated and reinforced in police work …

Chapters in the text are organized according to three parts:(1) concepts of crime, law, and
criminology;(2) theories of crime causation; and (3) crime typologies. The first part presents a …

What is intelligence-led policing? Who came up with the idea? Where did it come from? How
does it relate to other policing paradigms? What distinguishes an intelligence-led approach …

Crime and Everyday Life, Fourth Edition, provides an illuminating glimpse into roots of
criminal behavior, explaining how crime can touch us all in both small and large ways. This …