Crime Modeling And Mapping Using Geospatial Technologies

Recent years in North America have seen a rapid development in the area of crime analysis and mapping using Geographic Information Systems (GIS) technology. In 1996, the US National Institute of Justice (NIJ) established the crime mapping research center (CMRC), to promote research, evaluation, development, and dissemination of GIS technology. The long-term goal is to develop a fully functional Crime Analysis System (CAS) with standardized data collection and reporting mechanisms, tools for spatial and temporal analysis, visualization of data and much more. Among the drawbacks of current crime analysis systems is their lack of tools for spatial analysis. For this reason, spatial analysts should research which current analysis techniques (or variations of such techniques) that have been already successfully applied to other areas (e.g., epidemiology, location-allocation analysis, etc.) can also be employed to the spatial analysis of crime data. This book presents a few of those cases.

Geographical Information System and Crime Mapping features a diverse array of Geographic Information System (GIS) applications in crime analysis, from general issues such as GIS as a communication process, interjurisdictional mapping and data sharing to specific applications in tracking serial killers and predicting violence-prone zones. It supports readers in developing and implementing crime mapping techniques. The distribution of crime is explained with reference to theories of human ecology, transport network, built environment, housing markets, and forms of urban management, including policing. Concepts are supported with relevant case studies and real-time crime data to illustrate concepts and applications of crime mapping. Aimed at senior undergraduate, graduate students, professionals in GIS, Crime Analysis, Spatial Analysis, Ergonomics and human factors, this book: Provides an update of GIS applications for crime mapping studies Highlights growing potential of GIS for crime mapping, monitoring, and reduction through developing and implementing crime mapping techniques Covers Operational Research, Spatial Regression model, Point Analysis and so forth Builds models helpful in police patrolling, surveillance and crime mapping from a technology perspective Includes a dedicated section on case studies including exercises and data samples

A variety of disciplines and professions have embraced geospatial technologies for collecting, storing, manipulating, analyzing and displaying spatial data to investigate crime, prosecute and convict offenders, exonerate suspects and submit evidence in civil lawsuits. The applications, acceptability and relevance and procedural legality of each geospatial technologies vary. The purpose of this book is to explain the nature of geospatial technologies, demonstrate a variety of geospatial applications used to investigate and litigate civil and criminal activities and to provide a reference of current acceptability of geospatial technology in the production of evidence. This book is an introductory overview designed to appeal to researchers and practitioners across disciplinary boundaries. The authors of this book are researchers and practitioners across disciplines and professions, experts in the field.

Geographical Information System and Crime Mapping features a diverse array of Geographic Information System (GIS) applications in crime analysis, from general issues such as GIS as a communication process, interjurisdictional mapping and data sharing to specific applications in tracking serial killers and predicting violence-prone zones. It supports readers in developing and implementing crime mapping techniques. The distribution of crime is explained with reference to theories of human ecology, transport network, built environment, housing markets, and forms of urban management, including policing. Concepts are supported with relevant case studies and real-time crime data to illustrate concepts and applications of crime mapping. Aimed at senior undergraduate, graduate students, professionals in GIS, Crime Analysis, Spatial Analysis, Ergonomics and human factors, this book: Provides an update of GIS applications for crime mapping studies Highlights growing potential of GIS for crime mapping, monitoring, and reduction through developing and implementing crime mapping techniques Covers Operational Research, Spatial Regression model, Point Analysis and so forth Builds models helpful in police patrolling, surveillance and crime mapping from a technology perspective Includes a dedicated section on case studies including exercises and data samples

The growing potential of GIS for supporting policing and crimereduction is now being recognised by a broader community. GIS canbe employed at different levels to support operational policing,tactical crime mapping, detection, and wider-ranging strategicanalyses. With the use of GIS for crime mapping increasing, thisbook provides a definitive reference. GIS and Crime Mapping provides essential information andreference material to support readers in developing andimplementing crime mapping. Relevant case studies help demonstratethe key principles, concepts and applications of crime mapping. This book combines the topics of theoretical principles, GIS,analytical techniques, data processing solutions, informationsharing, problem-solving approaches, map design, and organisationalstructures for using crime mapping for policing and crimereduction. Delivered in an accessible style, topics are covered ina manner that underpins crime mapping use in the three broad areasof operations, tactics and strategy. Provides a complete start-to-finish coverage of crime mapping,including theory, scientific methodologies, analysis techniques anddesign principles. Includes a comprehensive presentation of crime mappingapplications for operational, tactical and strategic purposes. Includes global case studies and examples to demonstrate goodpractice. Co-authored by Spencer Chainey, a leading researcher andconsultant on GIS and crime mapping, and Jerry Ratcliffe, arenowned professor and former police officer. This book is essential reading for crime analysts and otherprofessionals working in intelligence roles in law enforcement orcrime reduction, at the local, regional and national governmentlevels. It is also an excellent reference for undergraduateand Masters students taking courses in GIS, Geomatics, CrimeMapping, Crime Science, Criminal Justice and Criminology.

This book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern control methods and theories, and approaches the peculiarities of Control Technologies as a specific sphere of the Big Data-driven world, distinguished in the modern Digital Economy. The book studies the genesis of mathematical and information methods’ transition from data analysis & processing to knowledge discovery and predictive analytics in the 21st century. In addition, it analyzes the conditions of development and implementation of Big Data analysis approaches in investigative activities and determines the role and meaning of global networks as platforms for the establishment of legislation and regulations in the Big Data-driven world. The book examines that world through the prism of Legislation Issues, substantiate the scientific and methodological approaches to studying modern mechanisms of terrorism and extremism counteraction in the conditions of new challenges of dissemination and accessibility of socially dangerous information. Systematization of successful experience of the Big Data solutions implementation in the different countries and analyze causal connections of the Digital Economy formation from the positions of new technological challenges is performed. The book’s target audience includes scientists, students, PhD and Master students who conduct scientific research on the topic of Big Data not only in the field of IT& data science, but also in connection with legislative regulation aspects of the modern information society. It also includes practitioners and experts, as well as state authorities and representatives of international organizations interested in creating mechanisms for implementing Digital Economy projects in the Big Data-driven world.

Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis. This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis. It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis. It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence. In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data. We then introduce a series of tools to study spatial homogeneity and dependence. A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation. The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space. In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.

The pervasive relevance of geospatial information and the development of emerging geospatial technologies offer new opportunity for bridging the gap between remote sensing scientific know-how and end users of products and services. Geospatial technology comprises tools and techniques dealing with the use of spatially referenced information, for the description and modeling of spatial and dynamic phenomena related to the Earth's environment. This book addresses environmental and social applications of geospatial technologies, thus also providing a multidisciplinary perspective on emerging geospatial techniques and tools. It consists of ten chapters offering insight into geospatial technology progress and trends. Authors present several application-oriented studies from various parts of the world, including applications in collaborative geomatics, geospatial statistics, GIS, agriculture, and natural hazard monitoring.