GIS and Crime Mapping

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  • Format: eBook
  • Copyright: 2006-02-01
  • Publisher: WILEY
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GIS & Crime covers the theoretical principles, data processing solutions, partnership working, analytical methods, problem-solving approaches, and map design for GIS and crime in a manner that underpins GIS application use in three broad areas (operational, tactical and strategic). The book also includes short case studies at relevant sections to help demonstrate how the principles and concepts are essential for successful application development. These case studies bring a richness and depth to the text and draw from the authors' international contacts and knowledge of excellence in the field to offer a global tone to the book.The authors are well-placed to write the leading text on GIS and crime. Spencer Chainey is a leading consultant and academic at the Jill Dando Crime Research Institute, and current vice-president of the AGI, and his experience is complemented by Jerry Ratcliffe, an academic in police studies in Australia and a former PC and crime analyst with the London Metropolitan Police Force. Case studies provide further insight into specific issues of interest to readers. Provides readers with a complete start-to-finish coverage of crime mapping: fundamental theory of mapping and criminology, scientific methodologies, analysis and design techniques, and applications. Incorporates global examples and case studies from international contributors to demonstrate best and worst practice

Table of Contents

The geography of crime
A brief history of GIS and crime mapping
Using GIS in policing and to prevent crime
The audience for this book
The content and structure of the book
Putting it all in perspective
Case Study: Crime mapping in Lincoln Police, Nebraska
Further Reading
Mapping and the Criminal Justice Environment
Learning Objectives
The terminology of services in the criminal justice environment
The spatial hierarchy of the criminal justice system and crime reduction services
Case Study: Policing across the spatial hierarchy in the UK: The National Intelligence Model
The geographical jurisdiction of law enforcement and crime reduction services
The use of crime mapping in law enforcement and crime reduction
Case Study: Using GIS to monitor the effect of alley-gating schemes
Further Reading
The Basics of Crime Mapping
Learning Objectives
What is a GIS?
How does a GIS work?
GIS files
Coordinate systems and projections
Getting crime data into a GIS
Case Study: Using Global Positioning Systems (GPS) technology to capture environmental crime incidents in North London, England
Geocoding in the real world
Address data cleaning
Address reference files
Case Study: Geocoding crime data at the point of record entry in Dumfries and Galloway, Scotland
Geocoding functions
Geocoding and fitness for purpose
Measuring geocoding accuracy
Case Study: Handling uncertainty and incompleteness in crime records
Mapping and unreported crime data
Editing data in a GIS
Performing queries on data in a GIS
Performing spatial functions and integrating data in a GIS
Asking spatial questions before mapping or analysing data
Further Reading
Spatial Theories of Crime
Learning Objectives
Early environmental criminology
The space and time of offences
Offender - offence interaction
Spatial crime theory in practice
Further Reading
Spatial Statistics for Crime Analysis
Learning Objectives
Spatial processes
Centrographic statistics
Estimates of spatial dependence
Case Study: The application of Moran's I on burglary at the state level in the United States of America
Spatial regression models
Case Study: A spatial lag model of anonymous narcotics tips in Philadelphia, USA
Case Study: Local Spatial Processes with Geographically Weighted Regression
Further Reading
Identifying Crime Hotspots
Learning Objectives
When is a hotspot, hot?
Point maps
Geographic boundary thematic mapping
Grid thematic mapping
Continuous surface smoothing methods
Case Study: Mapping hotspots of thefts of vehicles in Camden, London
Local indicators of spatial association (LISA) statistics
Considering the underlying population
Case study: Identifying street crime risk hotspots in the West End of London using pedestrian counts
Predictive crime mapping
Further Reading
Mapping Crime with Local Community Data
Learning Objectives
What are crim
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