- •Foreword
- •Criminology Comes of Age
- •Rules That Commute
- •Environmental Criminology and the Path to Crime Control
- •Preface
- •The Author
- •Acknowledgments
- •Dedication
- •Table of Contents
- •List of Tables
- •List of Figures
- •Quotation
- •2.1 Serial Murder
- •2.1.1.1 Characteristics
- •2.1.2 Incidence, Population, and Growth
- •2.1.3 Theories
- •2.1.4 Victimology
- •2.2 Child Murder
- •2.3 Murder and Distance
- •3.1 Serial Rape
- •3.2 Serial Arson
- •4.2 Police Strategies
- •4.2.1 Linkage Analysis
- •4.2.1.1 Physical Evidence
- •4.2.1.2 Offender Description
- •4.2.1.3 Crime Scene Behaviour
- •4.2.2 Other Investigative Tactics
- •5.2 Organized and Disorganized Crime Scenes
- •5.4 Critiques
- •5.5 Evaluation Studies
- •5.7 Expert Testimony
- •6.1 Movement and Distance
- •6.2 Mental Maps
- •6.3 Awareness and Activity Spaces
- •6.3.1 Anchor Points
- •6.4 Centrography
- •6.5 Nearest Neighbour Analysis
- •7.1 Geography and Crime Studies
- •7.2 Environmental Criminology
- •7.2.1 Routine Activity Theory
- •7.2.2 Rational Choice Theory
- •7.2.3 Crime Pattern Theory
- •8.1 Target Patterns
- •8.1.1 Place and Space
- •8.1.2 Hunting Grounds
- •8.1.3 Target Backcloth
- •8.1.4 Crime Sites
- •8.1.5 Body Disposal
- •8.1.6 Learning and Displacement
- •8.1.7 Offender Type
- •8.2 Hunting Methods
- •8.2.1 Target Cues
- •8.2.2 Hunting Humans
- •8.2.3 Search and Attack
- •8.2.4 Predator Hunting Typology
- •9.1 Spatial Typologies
- •9.2 Geography of Serial Murder
- •9.2.1 Methodology
- •9.2.1.1 Serial Killer Data
- •9.2.1.2 Newspaper Sources
- •9.2.1.3 Offender, Victim, and Location Data
- •9.2.2 Serial Killer Characteristics
- •9.2.2.1 State Comparisons
- •9.2.3 Case Descriptions
- •9.2.3.1 Richard Chase
- •9.2.3.2 Albert DeSalvo
- •9.2.3.3 Clifford Olson
- •9.2.3.4 Angelo Buono and Kenneth Bianchi
- •9.2.3.5 Peter Sutcliffe
- •9.2.3.6 Richard Ramirez
- •9.2.3.7 David Berkowitz
- •9.2.3.8 Jeffrey Dahmer
- •9.2.3.9 Joel Rifkin
- •9.2.3.10 John Collins
- •9.2.3.11 Aileen Wuornos
- •9.2.3.12 Ian Brady and Myra Hindley
- •9.2.3.13 Jerry Brudos
- •9.4 Serial Murder Characteristics
- •9.4.1 Offenders
- •9.4.2 Victims
- •9.4.3 Locations
- •9.4.4 Crime Parsing
- •9.4.5 Clusters
- •9.4.6 Trip Distance Increase
- •10.1 Mapping and Crime Analysis
- •10.2 Geography and Crime Investigation
- •10.3 Offender Residence Prediction
- •10.3.1 Criminal Geographic Targeting
- •10.3.2 Performance
- •10.3.3 Validity, Reliability, and Utility
- •10.3.3.1 Validity
- •10.3.3.2 Reliability
- •10.3.3.3 Utility
- •10.4.2 Operational Procedures
- •10.4.2.1 Information Requirements
- •10.4.3 Understudy Training Program
- •10.4.4 The Rigel Computer System
- •11.1 Strategies and Tactics
- •11.1.1 Suspect Prioritization
- •11.1.2 Police Information Systems
- •11.1.3 Task Force Management
- •11.1.4 Sex Offender Registries
- •11.1.5 Government and Business Databases
- •11.1.6 Motor Vehicle Registrations
- •11.1.7 Patrol Saturation and Stakeouts
- •11.1.8 Response Plans
- •11.1.9 Mail Outs
- •11.1.10 Neighbourhood Canvasses
- •11.1.11 News Media
- •11.1.12 Bloodings
- •11.1.13 Peak-of-Tension Polygraphy
- •11.1.14 Fugitive Location
- •11.1.15 Missing Bodies
- •11.1.16 Trial Court Expert Evidence
- •11.2 Jack the Ripper
- •DATA CODING FORM #1: SERIAL MURDER OFFENDERS
- •DATA CODING FORM #2: SERIAL MURDER VICTIMS
- •DATA CODING FORM #3: SERIAL MURDER LOCATIONS
- •Glossary
- •Bibliography
other instances a nonuniform target backcloth may force a commuter pattern regardless of the offender’s hunting style.
As part of a suggested taxonomy of rape series, Alston (1994) proposes marauders be defined as those offenders who consistently travel under 5 kilometres from a primary activity site (e.g., home or work) to the initial victim contact scene, and commuters as those who travel more than 5 kilometres. He observes the latter tend to stay close to the major thoroughfares used for their crime journeys. Davies and Dale (1995b) caution “that the commuter and marauder models may just be extremes of a continuum of patterns determined by topography and target availability” (p. 16).
9.2 Geography of Serial Murder
Descriptive accounts of serial murder and rape spatial patterns are useful, but a greater understanding of offender behaviour is gained by applying theories and techniques from environmental criminology and quantitative geography (Brantingham & Brantingham, 1984; R. V. Clarke, 1992, 1997; Garson & Biggs, 1992; Taylor, 1977). To this end, a seven-year research project on geographic profiling and target patterns of serial murderers was conducted at Simon Fraser University’s (SFU) School of Criminology (Rossmo, 1995a). The study involved the collection and analysis of two forms of data: (1) macrolevel information on serial killers; and (2) microlevel information on offenders, victims, and locations for selected serial murders.
Within a geography of crime perspective, locations of crime sites are seen to be influenced by hunting style, target backcloth, and changes in offender activity space. Some of the related questions this study sought to answer include: (1) which crime location types, individually or jointly, are the best predictors of offender residence; (2) what do the characteristics of the crime site and surrounding area tell us about the offender; and (3) is it possible earlier crimes, committed before the killer gained experience and expanded his or her spatial repertoire, are better indicators of an offender’s home area? The SFU serial murder data set provided the information necessary for an analysis concerned with these and other issues. Area and neighbourhood characteristics, victim types and activities, date and time periods, and offender mobility were examined. Data were also available to compute crime trip distances, size of hunting area, degree of pattern aggregation, and weekday of offence.
49 The probability that n crimes of a marauder will appear to be those of a commuter is approximately: (2n – 1)/(22n – 2). The likelihood such a pattern could happen by chance is not insignificant for low values of n. For example, in a series of 4 crimes the probability is equal to 0.23.
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