Crime pattern analysis (CPA) is the process of analytical reasoning facilitated by an understanding about the nature of an underlying spatial framework that generates crime. For example, law enforcement agencies may seek to identify regions of sudden increase in crime activity, namely, crime outbreaks. Many analytical tools facilitate this reasoning process by providing support for techniques s...

OBJECTIVE Routine activities theory purports that crime occurs in places with a suitable target, motivated offender, and lack of guardianship. Medical marijuana dispensaries may be places that satisfy these conditions, but this has not yet been studied. The current study examined whether the density of medical marijuana dispensaries is associated with crime. METHOD An ecological, cross-sectio...

Given a set of crime locations, a statistically significant crime hotspot is an area where the concentration of crimes inside is significantly higher than outside. The motivation of crime hotspot detection is twofold: detecting crime hotspots to focus the deployment of police enforcement and predicting the potential residence of a serial criminal. Crime hotspot detection is computationally chal...

With the advent of Information and Communication Technologies, the means of committing a crime and the crime itself are constantly evolved. In addition, the boundaries between traditional crime and cybercrime are vague: a crime may not have a defined traditional or digital form since digital and physical evidence may coexist in a crime scene. Furthermore, various items found in a crime scene ma...

This paper presents the findings from a review of the theoretical and empirical literature on the links between crime and fear of crime, the social and built environment, and health and wellbeing. A pragmatic approach was employed, with iterative stages of searching and synthesis. This produced a holistic causal framework of pathways to guide future research. The framework emphasises that crime...

Crime tends to cluster geographically. This has led to the wide usage of hotspot analysis to identify and visualize crime. Accurately identified crime hotspots can greatly benefit the public by creating accurate threat visualizations, more efficiently allocating police resources, and predicting crime. Yet existing mapping methods usually identify hotspots without considering the underlying corr...

In this article, the author addresses the spatial incompatibility between different types of data that is commonly faced in crime analysis research. Socioeconomic variables have been proved valuable in explaining crime behaviors and in predicting crime activities. However, socioeconomic data and crime statistics are usually collected and aggregated at different spatial zonations of geographical...

Crime prevention is the initiation and attempting to reduce, deter or remove crime and criminals. It includes the anticipation, recognition, and appraisal of making the right decision in crime risk. The decision support system (DSS) framework for decision making process has been developed to assist the decision makers. This research work is one of the efforts in crime prevention. The proposed f...