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Predictive Policing
Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way.
Popular Mechanics
Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.
Geographic Information Systems and Crime Analysis
Computerized crime mapping or GIS in law enforcement agencies has experienced rapid growth, particularly since the mid 1990s. There has also been increasing interests in GIS analysis of crime from various academic fields including criminology, geography, urban planning, information science and others. This book features a diverse array of GIS applications in crime analysis, from general issues such as GIS as a communication process and inter-jurisdictional data sharing to specific applications in tracking serial killers and predicting juvenile violence. Geographic Information Systems and Crime Analysis showcases a broad range of methods and techniques from typical GIS tasks such as geocoding and hotspot analysis to advanced technologies such as geographic profiling, agent-based modeling and web GIS. Contributors range from university professors, criminologists in research institutes to police chiefs, GIS analysts in police departments and consultants in criminal justice.
Handbook of Research on Thrust Technologies Effect on Image Processing
Image processing integrates and extracts data from photos for a variety of uses. Applications for image processing are useful in many different disciplines. A few examples include remote sensing, space applications, industrial applications, medical imaging, and military applications. Imaging systems come in many different varieties, including those used for chemical, optical, thermal, medicinal, and molecular imaging. To extract the accurate picture values, scanning methods and statistical analysis must be used for image analysis. Thrust Technologies Effect on Image Processing provides insights into image processing and the technologies that can be used to enhance additional information within an image. The book is also a useful resource for researchers to grow their interest and understanding in the burgeoning fields of image processing. Covering key topics such as image augmentation, artificial intelligence, and cloud computing, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Criminal Justice Forecasts of Risk
Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current application is used to make forecasts of “future dangerousness" to inform criminal justice decision. Examples include the decision to release an individual on parole, determination of the parole conditions, bail recommendations, and sentencing. Since the 1920s, "risk assessments" of various kinds have been used in parole hearings, but the current availability of large administrative data bases, inexpensive computing power, and developments in statistics and computer science have increased their accuracy and applicability. In this book, these developments are considered with particular emphasis on the statistical and computer science tools, under the rubric of supervised learning, that can dramatically improve these kinds of forecasts in criminal justice settings. The intended audience is researchers in the social sciences and data analysts in criminal justice agencies.
The Oxford Handbook of Crime and Criminal Justice
Although criminal justice systems in developed Western countries are much alike in form, structure, and function, the American system is unique. While it is structurally similar to those of other Western countries, the punishments it imposes are often vastly harsher. No other Western country retains capital punishment or regularly employs life-without-parole, three-strikes, or lengthy mandatory minimum sentencing laws. As a result, the U.S. imprisonment rate of nearly 800 per 100,000 residents dwarfs rates elsewhere. The Oxford Handbook of Crime and Criminal Justice is an essential guide to the development and operation of the American criminal justice system. A leading scholar in the field ...
Crime Dynamics
This Element reviews and augments research on changes over time in U.S. crime rates during the past several decades. Major topics include the data sources for studying crime trends; the relationship between homicide rates and rates of property crime, imprisonment, and firearm availability; trends in crime by sex, race, and age; the relationship between crime trends and economic conditions; crime trends and social institutions; abrupt changes in crime rates and exogenous shocks; forecasting crime rates; and the future of crime trends theory and research. The study of crime trends is as intellectually rewarding and practically important as any topic in criminology. But attracting scholars to this field of study of crime trends will require significant advancements in theory, methods, and policy application.
Criminal Justice Statistics
"Criminal Justice Statistics: Essential Methods" delves into the intricate realm of statistical methods within the criminal justice system. This comprehensive guide is a valuable resource for researchers, practitioners, policymakers, and students seeking to understand how statistics are applied, interpreted, and utilized to inform decision-making, assess risk, and evaluate outcomes. We emphasize data quality, exploring techniques for data validation, cleaning, and standardization to ensure data integrity and transparency. Key topics include bias detection, predictive modeling, and risk assessment tools, showcasing how algorithms forecast recidivism and support decisions in law enforcement, c...
