Urban crime has increasingly become a major issue for Chinese cities. Using crime data collected at police precincts in 2008, the main aim of this research is to examine the spatial distribution of property crime which accounted for almost 82% of all crimes in the city of Changchun, and analyze the relationship between the spatial patterns of property crime and neighborhood characteristics. Sta...

This paper suggests a novel clustering method for analyzing the National Incident-Based Reporting System (NIBRS) data, which include the determination of correlation of different crime types, the development of a likelihood index for crimes to occur in a jurisdiction, and the clustering of jurisdictions based on crime type. The method was tested by using the 2005 assault data from 121 jurisdict...

Crime reduction remains a critical challenge in modern societies. Thus, identifying regions in a city with an elevated risk for future crimes is of high interest to plan prevention strategies. Attempts have been made to apply various statistical and machine learning techniques to predict crime, while computational methods such as agent-based modeling (ABM) can account for the offender and its i...

My subject is “crime,” and this book is a manual of its body. A manual of “crime” in quotation marks (a manual of crime and quotation marks), because I use the word not in its legal sense, but rather in all senses of the term. And because my field is fiction: sexual, racial, social, and economic “crime tales,” tales of professions, trades, and states. Those that form The Corpus Delicti: A Manua...

In this paper, we propose a method to find the safest path between two locations, based on the geographical model of crime intensities. We consider the police records and news articles for finding crime density of different areas of the city. It is essential to consider news articles as there is a significant delay in updating police crime records. We address this problem by updating the crime ...

Recently, interest has been increasing in crime analytics in which time series clustering research has been playing an important role, particularly for finding useful similar trends in crime. Time series clustering technique has potential for large volume of data analysis. Multivariate time series data relating to various areas such as finance, health sector, environmental research, and crime i...

The Crime investigation department have very significant role in police system in all countries in the world. Computer systems are placed in almost all police stations to store and retrieve the crimes and criminal data and for subsequent reporting. For crime analysts, it is a challenging, time-consuming to determine who have been committed crimes from the large set of crimes that are happening ...

Previous studies find a positive relationship between juvenile and adult criminal involvement. Using data on males from the Delinquency in a Birth Cohort II study, we investigate whether this correlation is due to unobserved characteristics that increase the probability of both juvenile and adult crime, or whether it is due to true state dependence in crime. Distinguishing between state depende...

Crime opportunities are neither uniformly nor randomly organized in space and time. As a result, crime mappers can unlock these spatial patterns and strive for a better theoretical understanding of the role of geography and opportunity, as well as enabling practical crime prevention solutions that are tailored to specific places. The evolution of crime mapping has heralded a new era in spatial ...