Crime pattern analysis has tended to focus on h̀otspot’ analysis techniques; the identi® cation of areas with higher densities of criminal activity. This paper documents a di€ erent approach to determination of hotspots and aims to present a conceptual framework for the temporal analysis of aoristic crime data. This analysis monitors the change in crime patterns over time and can be applied to a...

Transnational crime, sometimes called international crime or multinational systemic crime, is more than an extension of domestic crime. In the context of globalization, transnational organized crime groups respond to market incentives and operate with cooperative relationships, which makes the multinational criminal systems become more efficient and powerful. As a result, no single country has ...

The spatial analysis of crime and the current focus on hotspots has pushed the area of crime mapping to the fore, especially in regard to high volume offences such as vehicle theft and burglary. Hotspots also have a temporal component, yet police recorded crime databases rarely record the actual time of offence as this is seldom known. Police crime data tends, more often than not, to reflect th...

This paper explores the role of public institutions in reducing or fostering neighborhood violence and crime. Understanding institutional density as a neighborhood effect, this paper examines how ten public institutions and structures influence crime rates in Chicago. Using multivariate regression analysis and geo-coded spatial models, the relationship between the institutions and four differen...

In the 1990s, while there was a large decline in property-related crime along the U.S.Mexico border, violent crime rates began to converge to the national average. At the same time, legal and illegal immigration from Mexico surged and border enforcement rose to unprecedented levels. In this paper, we investigate the relationship between border county crime rates, immigration and enforcement sin...

The exploration of volumes of crime reports is a tedious task in crime intelligence analysis, given the largely unstructured nature of the crime descriptions. This paper describes a Visual Analytics approach for crime signature exploration that tightly integrates automated event sequence extraction and signature mining with interactive visualization. We describe the major components of our anal...

Many studies find a strong negative association between crime and education. This raises the question whether crime reduces investment in human capital or whether education reduces criminal activity. This article investigates posed question by using fixed-effect estimation on data of Australian twins. We find early arrests (before the age of 18) both to have a strong effect on human capital acc...

Artificial crime analysis and crime simulation is an emerging research area that has the potential of revealing hidden processes behind urban crime patterns and criminal justice system operations. This book takes an interdisciplinary approach, combining criminology, computer simulation, and geographic information systems to examine how crime patterns form and what can be done to prevent crime. ...

Consideration of the literature concerning street lighting effects on crime yields the following conclusions: (1) Precisely targeted increases in street lighting generally have crime reduction effects. (2) More general increases in street lighting seem to have crime prevention effects, but this outcome is not universal Older and U.S. research yield fewer positive results than more recent U.K. r...

The routine activity approach and associated crime pattern theory emphasise how crime emerges from spatio-temporal routines. In order to understand this crime should be studied in both space and time. However, the bulk of research into crime patterns and related activities has investigated the spatial distributions of crime, neglecting the temporal dimension. Specifically, disaggregation of cri...