Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Containing the spread of crime in urban societies remains a major challenge. Empirical
evidence suggests that, if left unchecked, crimes may be recurrent and proliferate. On the …

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 …

The advent of 'Big Data'and machine learning algorithms is predicted to transform how we
work and think. Specifically, it is said that the capacity of Big Data analytics to move from …

This paper estimates the impact of recorded domestic property crime on property prices in
the London area. Crimes in the Criminal Damage category have a significant negative …

Recent research in the ''crime at places''literature is concerned with smaller units of analysis
than conventional spatial criminology. An important issue is whether the spatial patterns …

Existing methods of predicting and mapping the future locations of crime are intrinsically
retrospective. This paper explores the development of a mapping procedure that seeks to …

This paper introduces the discrete spatial choice approach to the study of criminal target
choice. The approach is used to assess whether residential burglars are attracted to target …

Over the last two decades, there has been increased interest in the distribution of crime and
other antisocial behavior at lower levels of geography. The focus on micro geography and its …

Purpose–The purpose of this paper is to examine the effects of user-defined parameters
settings (eg interpolation method, grid cell size, and bandwidth) on the predictive accuracy …