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"This book combines the topics of theoretical principles, GIS, analytical techniques, data processing solutions, information sharing, problem-solving approaches, map design, and organisational structures for using crime mapping for policing and crime reduction. Delivered in an accessible style, topics are covered in a manner that underpins crime mapping use in the three broad areas of operations, tactics and strategy." This book is essential reading for crime analysts and other professionals working in intelligence roles in law enforcement or crime reduction, at the local, regional and national government levels. It is also an excellent reference for undergraduate and Masters students taking courses in GIS, Geomatics, Crime Mapping, Crime Science, Criminal Justice and Criminology.
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GIS and Crime Mapping

By Spencer Chainey

John Wiley & Sons

Copyright © 2005 John Wiley & Sons, Ltd
All right reserved.

ISBN: 0-470-86098-7

Chapter One


1.1 The geography of crime

Crime has an inherent geographical quality. When a crime occurs, it happens at a place with a geographical location. For someone to have committed a crime they must have also come from a place (such as their home, work or school). This place could be the same location where the crime was committed or is often close to where the crime was perpetrated (Frisbie et al., 1977; Brantingham and Brantingham, 1981; Rossmo, 2000; Wiles and Costello, 2000). 'Place' therefore plays a vital role in understanding crime and how crime can be tackled.

The study of crime has traditionally been the preserve of other disciplines such as sociology and psychology (Georges, 1978) and it was not until the late 1970s that the 'place' and the spatial dimension to crime began to be more fully explored. The police have long recognised the inherent geographical component of crime by sticking pins into maps displayed on walls, where each pin represented a crime event, but it was studies such as those from the 'Chicago School' of the 1930s (Shaw and McKay, 1931) that first demonstrated the importance of geography in understanding crime.

What has taken time, and only seriously surfaced in the 1970s, was the realisation that crimecould be explained and understood in more depth by exploring its geographical components. New techniques emerged - techniques that included identifying patterns and concentrations of crime; the exploration of the relationships between crime and environmental or socio-economic characteristics; and techniques to assess the effectiveness of policing and crime reduction programmes that are targeted to geographical areas. What has materialised from this emergence of academic and practitioner activity is the field of crime mapping - a progressive blend of practical criminal justice issues with the research field of Geographical Information Systems (GIS).

1.2 A brief history of GIS and crime mapping

Since the 1960s GIS has emerged as a discipline in its own right. From its origins in land use applications in Canada to an all-pervasive technology used today in applications as diverse as in-car navigation, retail store site location, customer targeting, risk management, construction, weather forecasting, utilities management and military planning, GIS has become ubiquitous in modern life.

The infancy of GIS grew through applications such as planning for the US Census of Population in 1970 (and other national censuses in many other countries since) and from the national mapping agencies that began using this technology to help automate their cartographic draughting. Imagery of the earth from satellites has also played a significant role in the development of GIS, particularly through the military where GIS was the platform into which imagery could be displayed and analysed for the purpose of intelligence gathering. Indeed it was the military that were responsible for the first uniform system of measuring location, driven by the need for accurately targeting missiles. The military were also initially responsible for the development of the Global Positioning System (GPS). However, it was not until the 1980s that reductions in the price of computer technology created a conducive environment for the development of the GIS software industry and the subsequent growth in cost-effective GIS applications (Longley et al., 2001).

These reductions in the cost of computer hardware were complemented by improved operating systems, electronic storage media and developments in computer software, and have had a wide and significant impact in introducing GIS technologies to new areas, such as policing and crime reduction. The computerisation of police records has come with a realisation that this material can be used for crime and intelligence analysis (Ratcliffe, 2004), and in turn used to better recognise patterns of crime that can be targeted for action, patterns that evidence suggests police officers are not necessarily aware of (Ratcliffe and McCullagh, 2001).

The early use of GIS for mapping crime was often held back by organisational and management problems (Openshaw et al., 1990), issues with sharing information (Chainey, 2001), technical problems (Hirschfield et al., 1995) and geocoding problems (Craglia et al., 2000). These problems were shared with many of the other industries and disciplines trying to implement GIS, and it took several innovators to resolve these issues and show how they could be overcome. In reality many of these problems have not simply gone away, and several new ones have emerged, so in this book we try to help the reader by pointing to ways in which many of these technical and organisational issues can be overcome.

Much of the innovation in crime mapping was driven in the United States by the National Institute of Justice's Crime Mapping Research Center (CMRC). Renamed in 2002 as the Mapping and Analysis for Public Safety (MAPS) programme, the impact of this US government initiative was not isolated to the USA, but has also been the foundation for the development of crime mapping in many other countries, including the United Kingdom, Australia, South Africa and across South America. The MAPS programme has raised awareness of crime mapping through arranging seminars, conferences and producing publications, and by developing crime mapping software tools and funding new fields of crime mapping research. The MAPS programme, joined now by many other institutions and organisations, continues to be an active player in supporting the development of crime mapping with the result that crime mapping is now more widely recognised by government and law enforcement services as a tool to aid policing and crime reduction.

Many argue that the 'systems' development of GIS has in recent years been overtaken by the 'scientific' development of the discipline (Goodchild, 1992, 1997; Longley et al., 2001). This geographical information science has seen the development of analytical methodologies, techniques and processes for the advancement of spatial understanding, and as a result has contributed to many disciplines where understanding space and place is important, such as with crime (Ratcliffe, 2004). The geographical analysis of crime has also shown strong parallels with the field of spatial epidemiology and continues today to learn from this related field, using many of the analysis techniques that were originally designed for the study of disease patterns. We cover a number of these techniques in this book.

1.3 Using GIS in policing and to prevent crime

Crime mapping can play an important role in the policing and crime reduction process, from the first stage of data collection through to the monitoring and evaluation of any targeted response. It can also act as an important mechanism in a more pivotal preliminary stage, that of preventing crime by helping in the design of initiatives that are successful in tackling a crime problem. In subsequent sections of this book we present and discuss a wide range of applications for crime mapping, but as a resume to demonstrate how it can support many central processes to policing and crime reduction we include the following application areas:

Recording and mapping police activity, crime reduction projects, calls for service and crime incidents;

Supporting the briefing of operational police officers by identifying crimes that have recently occurred and predicting where crime may occur in the future;

Identifying crime hotspots for targeting, deploying and allocating suitable crime reduction responses;

Helping to effectively understand crime distribution, and to explore the mechanisms, dynamics and generators to criminal activity, through pattern analysis with other local data;

Monitoring the impact of crime reduction initiatives; and

Using maps as a medium to communicate to the public crime statistics for their area and the initiatives that are being implemented to tackle crime problems.

Crime mapping is becoming central to policing and crime reduction in the 21st century, and this book aims to make a contribution to its continued growth. As Clarke (2004, p. 60) notes, 'Quite soon, crime mapping will become as much an essential tool of criminological research as statistical analysis is at present.'

1.4 The audience for this book

This book has been written to appeal to a wide range of professionals, academics and students interested in crime mapping. The book's style and content is one that should interest analysts working in policing and law enforcement, and analysts working in other services that support crime reduction, such as those who work in a crime reduction partnership, or those that are involved in analysing or researching crime problems within national or regional government bodies. The book should also appeal to academics and lecturers in GIS, crime science, crime prevention, criminal justice, law enforcement, policing, community safety or criminology, and to researchers and students studying in these disciplines. The book also aims to be of international appeal by focusing on generic themes in GIS and crime mapping, and by drawing from worldwide experiences and developments in the active areas of crime mapping.

1.5 The content and structure of the book

This book has been written to support readers with the essential theory, scientific methodologies, analysis techniques and design processes that they require for applying crime mapping as a tool to help understand crime. The book's content is also illustrated with examples and case studies designed to bring depth to the explanation of certain principles and to demonstrate crime mapping at work. The book can also be used as a reference text which can be dipped into on relevant occasions, and to complement existing texts on the subject.

The book is divided into four main parts: Part One covers the basics required for mapping crime; Part Two covers crime mapping and GIS techniques; Part Three presents and discusses a comprehensive range of methodologies and applications of crime mapping; and Part Four aims to bring together much of what has been described and discussed by explaining how to make maps work to their best effect, and the organisational and management arrangements that can help to ensure that these outputs are used.

'The basics' included in Part One begins in the next chapter which describes the different professional areas where crime mapping is being applied, clarifies the definitions of terms and professions and explains the geographic jurisdictional and hierarchical boundaries of policing and crime reduction services. Chapter 3 further explores the basics of crime mapping by describing the starting point for converting raw crime data into a computer map. This chapter also explains some of the key concepts of GIS and geographic data, and in particular the chapter discusses and addresses the issues with geocoding crime data. Chapter 4 covers the essential theoretical concepts for interpreting and understanding the geographical aspects of crime. It includes an explanation of how thinking about crime and space has developed into the field of environmental criminology and demonstrates many of the key theoretical concepts in a practical sense. This chapter provides the essential backcloth to why there is value in crime mapping.

Part Two emphasises geographic information techniques and processes that can be applied to crime mapping. This part begins by providing a grounding in spatial statistics, from descriptive spatial statistics through to more advanced techniques such as spatial autocorrelation and spatial regression. The theme of spatial statistics continues in Chapter 6 where a range of different methods are discussed for identifying crime hotspots. The concept of using crime data with non-police data is then explored in Chapter 7, which discusses the use of non-crime data sources to complement the picture of criminal behaviour and the possible causes that account for that behaviour. The chapter also explores the data that these other sources may have available to share, and reviews the information-sharing challenges and the technical processes for combining geographic information. The analytical techniques for understanding crime patterns in space are complemented in Chapter 8 where we explore ways to visualise the temporal and spatio-temporal patterns of crime. This includes helping the reader to recognise the value that the temporal dimension contributes to understanding crime as well as equipping the reader with a range of tools that can be used to identify and interpret temporal and spatio-temporal patterns.

Part Three focuses on crime mapping applications and approaches in its use, grouping these applications into three separate chapters. Chapter 9 describes the ways in which maps are incorporated into the operational thinking of police organisations, and are used to inform police officers wishing to reduce crime. This is illustrated with examples that describe the principles and functions of the CompStat process; describe the intelligence products of Britain's National Intelligence Model; discuss the importance of repeat victimisation identification in crime prevention research and outline the components of the 'Hotspot Matrix' as a way to understand and establish suitable responses to crime problems based on their spatial and temporal characteristics. Chapter 10 describes how crime mapping can support the tactical and investigative requirements of law enforcement and crime reduction, particularly in terms of catching offenders or gathering facts that can be useful in targeting diversion schemes, focusing the control of behaviour and directing crime prevention strategies. The chapter includes analytical methods for understanding offenders; discusses the importance of understanding the journey to crime; presents the main concepts of geographic profiling and how this important tool has been used to help serial crime investigations; describes the key requirements to consider when producing maps for prosecution evidence and explains the concept of offender self-selection. Part Three's final chapter begins by re-examining the main spatial crime theoretical structures to examine the different types of geographical scale and strategies that provide the link between theoretical understanding of crime and its spatial extent. This chapter includes an overview of the current paradigms in policing and crime reduction and whether these can be effectively employed in a spatial sense to prevent crime. These discussions then extend to the analysis of neighbourhoods and understanding the underlying drivers of crime.

Part Four focuses on pulling together the outputs of crime mapping into a form that makes them work, be effective and reach the right audience. Chapter 12 examines the end of the crime mapping process - getting the message across to the audience. The main focus of this chapter is gearing the output to the needs of the client or audience, and in this chapter we offer the reader tips, techniques and theories to ensure that their effort is not wasted. More specifically, the chapter looks at key principles of cartographic design, the effective use of colour and the incorporation of maps into presentations. The book's final chapter helps to identify the ways in which crime mapping can be managed and organised in policing and crime reduction services. It discusses the GIS and crime mapping implementing process, the role of crime mapping (and analysis) and its effective use and the integration of crime mapping products into information-driven processes.

1.6 Putting it all in perspective

To put this book into a functional perspective, the following case study illustrates the developmental process of getting a crime mapping system up and running. It also shows the myriad of ways in which mapping technology can aid the policing and crime reduction effort. Chief Casady's experiences are probably similar to that of many innovative police departments and show how effective use of mapping does not instantly occur, but rather happens as a result of a combination of technological advancement and organisational change, both of which have been achieved through Chief Casady's leadership.


Excerpted from GIS and Crime Mapping by Spencer Chainey Copyright © 2005 by John Wiley & Sons, Ltd. Excerpted by permission.
All rights reserved. No part of this excerpt may be reproduced or reprinted without permission in writing from the publisher.
Excerpts are provided by Dial-A-Book Inc. solely for the personal use of visitors to this web site.

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Table of Contents


1 Introduction.

1.1 The geography of crime.

1.2 A brief history of GIS and crime mapping.

1.3 Using GIS in policing and to prevent crime.

1.4 The audience for this book.

1.5 The content and structure of the book.

1.6 Putting it all in perspective.

Case study: Crime mapping in Lincoln, Nebraska.

Further reading.


2 Mapping and the Criminal Justice Environment.

Learning Objectives.

2.1 Introduction.

2.2 The terminology of services in the criminal justice environment.

2.3 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.

2.4 The geographical jurisdiction of law enforcement and crime reduction services.

2.5 The use of crime mapping in law enforcement and crime reduction.

Case study: Using GIS to monitor the effect of alley-gating schemes.

2.6 Summary.

Further reading.


3 The Basics of Crime Mapping.

Learning Objectives.

3.1 What is a GIS?

3.2 How does a GIS work?

3.3 GIS files.

3.4 Coordinate systems and projections.

3.5 Getting crime data into a GIS.

Case study: Using GPS technology to capture environmental crime incidents in North London, England.

3.6 Geocoding in the real world.

3.7 Address data cleaning.

3.8 Address reference files.

Case study: Geocoding crime data at the point of record entry in Dumfries and Galloway, Scotland.

3.9 Geocoding functions.

3.10 Geocoding and fitness for purpose.

3.11 Measuring geocoding accuracy.

Case study: Handling uncertainty and incompleteness in crime records.

3.12 Mapping and unreported crime data.

3.13 Editing data in a GIS.

3.14 Performing queries on data in a GIS.

3.15 Performing spatial functions and integrating data in a GIS.

3.16 Asking spatial questions before mapping or analysing data.

3.17 Summary.

Further reading.


4 Spatial Theories of Crime.

Learning Objectives.

4.1 Introduction.

4.2 Early environmental criminology.

4.3 The space and time of offences.

4.4 Offender–offence interaction.

4.5 Spatial crime theory in practice.

4.6 Summary.

Further reading.


5 Spatial Statistics for Crime Analysis.

Learning Objectives.

5.1 Introduction.

5.2 Spatial processes.

5.3 Centrographic statistics.

5.4 Estimates of spatial dependence.

Case study: The application of Moran’s I on burglary at the state level in the United States of America.

5.5 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.

5.6 Summary.

Further reading.


6 Identifying Crime Hotspots.

Learning Objectives.

6.1 Introduction.

6.2 When is a hotspot ‘hot’?

6.3 Point maps.

6.4 Geographic boundary thematic mapping.

6.5 Grid thematic mapping.

6.6 Continuous surface smoothing methods.

Case study: Mapping hotspots of thefts of vehicles in Camden, London.

6.7 Local Indicators of Spatial Association (LISA) statistics.

6.8 Considering the underlying population.

Case study: Identifying street crime risk hotspots in the West End of London using pedestrian counts.

6.9 Predictive crime mapping.

6.10 Summary.

Further reading.


7 Mapping Crime with Local Community Data.

Learning Objectives.

7.1 Introduction.

7.2 What are crime reduction partnerships?

7.3 Mapping and the benefits of partnership working.

Case study: Comparing the perception of where crime happens with where crime actually happens.

7.4 Partnership data.

Case study: Crime And Disorder Information Exchange (CADDIE), Sussex, England.

7.5 Information sharing.

Case study: The Amethyst Crime and Disorder Information Hub, Cornwall, England.

7.6 Combining data from different geographic units.

7.7 Summary.

Further reading.


8 Mapping and Analysing Change Over Time.

Learning Objectives.

8.1 Introduction.

8.2 The timeline.

8.3 Temporal resolution and querying a temporal database.

8.4 Comparing two distributions.

8.5 Mapping temporal change with graphs.

8.6 Using animation.

8.7 Quantifying change over time.

8.8 Aoristic analysis.

Case study: Aoristic analysis of vehicle crime in Sydney’s Eastern Suburbs.

8.9 Summary.

Further reading.


9 Mapping for Operational Police Activities.

Learning Objectives.

9.1 Introduction.

9.2 CompStat.

Case study: CompStat mapping in the Philadelphia Police Department.

Case study: CompStat from a management perspective.

9.3 Intelligence products in the UK.

9.4 Repeat victimisation.

9.5 The hotspot matrix.

Case study: A street crime hotspot matrix.

9.6 Summary.

Further reading.


10 Tactical and Investigative Crime Mapping Applications.

Learning Objectives.

10.1 Introduction.

10.2 Understanding offenders.

10.3 The journey to crime.

Case study: The journey to crime and the ‘self-containment index’.

10.4 Geographic profiling.

Case study: Geographic profile for Operation Lynx.

10.5 Using maps as evidence.

Case study: Using maps as evidence in a murder trial in Florida.

10.6 Detecting offenders through their self-selection.

Case study: Self-selection of offenders through illegal parking in disabled parking bays.

10.7 Summary.

Further reading.


11 Policing the Causes of Crime.

Learning Objectives.

11.1 Introduction – the level of strategic crime control.

11.2 Policing for crime reduction.

Case study: Supporting strategic crime analysis in London, England.

11.3 Analysing the underlying drivers of crime.

11.4 The geography of neighbourhood studies.

Case study: Street corner geography for street corner problems?

11.5 Summary.

Further reading.


12 Crime Map Cartography.

Learning Objectives.

12.1 Introduction – the purpose of the map.

12.2 Design considerations.

12.3 Visual variables and colour.

12.4 Thematic maps of areal data.

12.5 Thematic maps of point data 380

12.6 Getting away from paper: The digital age.

12.7 Summary.

Further reading.


13 The Management and Organisation of Crime Mapping Services.

Learning Objectives.

13.1 Introduction.

13.2 Implementing crime mapping.

13.3 Understanding the role of crime analysis.

Case study: Crime mapping and analysis in the Glendale Police Department, Arizona.

13.4 Organising the production of crime mapping products.

Case study: Project Spectrom – a new operational policing model for West Midlands Police, England.

Case study: The importance of management to support crime analysis.

13.5 Summary.

Further reading.



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