This paper presents a spatial‐ temporal prediction of crime that allows forecasting of the criminal activity behavior in a particular district by using structured crime classification algorithm. The quantity of each crime is understood as the forecasted enhance or reduce the particular moment in time and location of the criminal activity. The proposed algorithm used for forecasting crime is bas...

167 Many people are afraid of falling prey to crime. The present report investigates the extent to which this fear is in line with the actual regional crime rates. This analysis is based on data from a comprehensive database on the fear of crime, combined with police crime statistics (specifically, adjusted crime statistics which factor in the “dark figure” of unreported crime). No evidence was...

Crime and Mental Wellbeing We provide empirical evidence of crime’s impact on the mental wellbeing of both victims and non-victims. We differentiate between the direct impact to victims and the indirect impact to society due to the fear of crime. The results show a decrease in mental wellbeing after violent crime victimization and that the violent crime rate has a negative impact on mental well...

Crime is a major societal problem for most of the world's nations. Consequently, the police need to develop new methods to improve their efficiency in dealing with these ever increasing crime rates. Two of the common difficulties that the police face in crime control are crime investigation and the provision of crime information to the general public to help them protect themselves. Crime contr...

BACKGROUND Area-level socioeconomic disparities have long been associated with adverse pregnancy outcomes. Crime is an important element of the neighborhood environment inadequately investigated in the reproductive and public health literature. When crime has been used in research, it has been variably defined, resulting in non-comparable associations across studies. METHODS Using geocoded li...

A crime is an act which is against the laws of a country or region. The technique which is used to find areas on a map which have high crime intensity is known as crime hotspot prediction. The technique uses the crime data which includes the area with crime rate and predict the future location with high crime intensity. The motivation of crime hotspot prediction is to raise people’s awareness r...

We developed Cyber Forensics Ontology for the criminal investigation in cyber space. Cyber crime is classified into cyber terror and general cyber crime, and those two classes are connected with each other. The investigation of cyber terror requires high technology, system environment and experts, and general cyber crime is connected with general crime by evidence from digital data and cyber sp...

Crime prediction is a topic of significant research across the fields of criminology, data mining, city planning, law enforcement, and political science. Crime patterns exist on a spatial level; these patterns can be grouped geographically by physical location, and analyzed contextually based on the region in which crime occurs. This paper proposes a mechanism to parameterize street-level crime...

This paper analyzed the spatial patterns of four types of crime (assault, robbery, autotheft, and burglary) and their relationship with neighbourhood characteristics in the City of Omaha, Nebraska by using geographic information systems procedures and ordinary least square regression methods. Location quotients of crime and crime density were employed as two alternative measures of crime rates....

Throughout the criminal justice system, prosecutors have wide discretion to exercise their authority in determining what crimes should be prosecuted. This discretion has historic support through both constitutional separation of powers doctrines and public policy. This discretion is based on a variety of factors, including the severity of the crime, the extent of the evidence, prosecutorial res...