Research has shown that the majority of crimes are committed by persistent or serial offenders, with as little as seven percent of offenders accounting for approximately 60 percent of all crimes. By focusing police efforts on these prolific offenders and learning to identify, analyze, and resolve the crimes they commit, the law enforcement community can protect and defend the public much more effectively. Tactical Crime Analysis: Research and Investigation provides a comprehensive discussion on both the theoretical and practical aspects of crime series analysis, making it a critical resource for those engaged in crime prevention and investigation. Appropriate for all levels Written by a distinctive team of authors, each of whom combine academic credibility, police experience, and years of analytical success, this manual is designed for the novice, the working professional, and the veteran crime analyst. It provides an introduction to the realities of tactical crime analysis, assists current analysts in further developing their professional skills, and offers advanced insight for experts. Covering all aspects of serial crime investigation, the book explores: Major problems and issues within serial crime
Offender spatial behavior
Linkage analysis
Investigative techniques
Geographic profiling
Next event forecasting Supplemental materials to enhance the text This multi-faceted resource includes an interview with a serial offender, case studies of solved serial crimes, and an accompanying website with supplemental material. An important addition to the reference shelf of analytical professionals, this resource provides a revealing glimpse into the machinations of the serial offender.

TACTICAL CRIME ANALYSIS PESEARCH AND LNVESTIHOTION

Paulsen, Derek J., Bair, Sean, Helms, Dan

CRC ; Taylor & Francis [distributor

Technomic Publishing Co., Inc.

CRC Press/Taylor & Francis

CRC Press LLC

United States, United States of America

Boca Raton, Fla., London, 2009

Boca Raton, Florida, 2010

1, PS, 2009

Bookmarks: p1 (p3): SECTION Ⅰ
p1-1 (p3): 1 Introduction of Crime Analysis
p1-1-1 (p3): Introduction
p1-1-2 (p7): Conclusion
p1-2 (p9): 2 Understanding Criminal Behavior
p1-2-1 (p9): Introduction
p1-2-2 (p9): Rational Choice
p1-2-2-1 (p11): Research Findings
p1-2-3 (p13): Routine Activities Theory
p1-2-3-1 (p15): Research Findings
p1-2-4 (p16): Crime Pattern Theory
p1-2-4-1 (p18): Research Findings
p1-2-5 (p19): Opportunity Makes the Thief
p1-2-6 (p23): Conclusion
p1-3 (p25): 3 Behavioral Geography
p1-3-1 (p25): Introduction to Behavioral Geography
p1-3-2 (p27): Spatial Behavior
p1-3-2-1 (p27): Mental Maps and Awareness Space
p1-3-2-2 (p29): Research on Mental Maps and Awareness Space
p1-3-3 (p32): Journey-to-Crime
p1-3-3-1 (p33): Journey-to-Crime Research
p1-3-3-2 (p35): Thinking Criminal
p1-4 (p45): 4 Exploring Crime Types
p1-4-1 (p45): Introduction
p1-4-1-1 (p45): Homicide
p1-4-1-2 (p47): Robbery
p1-4-1-3 (p49): Burglary
p1-4-1-4 (p51): Auto Theft
p1-4-1-5 (p54): Sexual Assault
p1-4-2 (p55): Conclusion
p1-5 (p57): 5 Linking Crime
p1-5-1 (p57): Introduction
p1-5-2 (p58): Linkage Blindness
p1-5-2-1 (p58): Jane Smith
p1-5-2-2 (p59): Sheriff Joe
p1-5-3 (p60): Who, What, Where, When, How and Why
p1-5-3-1 (p60): The Dresser Drawers Theory
p1-5-3-2 (p62): The Investigative Mindset: Fact and Inference
p1-5-3-3 (p64): Process Models: The IZE Method
p1-5-3-4 (p68): Process Models: Inductive Versus Deductive
p1-5-3-5 (p70): Process Models: Quantitative Identification
p1-5-4 (p71): Data Mining
p1-5-4-1 (p72): Data Mining: Regular Expressions
p1-5-4-2 (p74): Data Mining: Concepts
p1-5-5 (p75): Conclusion
p1-6 (p77): 6 Temporal Analysis
p1-6-1 (p77): Introduction
p1-6-2 (p77): Definitions
p1-6-3 (p78): Basic Assumptions
p1-6-3-1 (p79): Primary Time of Occurrence
p1-6-3-2 (p79): Multiple Times of Occurrence
p1-6-3-3 (p80): Aoristic Analysis
p1-6-3-4 (p81): Temporal Analysis Units
p1-6-3-5 (p82): T Coordinates
p1-6-3-6 (p82): Temporal Study Area (Range)
p1-6-3-7 (p83): Temporal Distribution
p1-6-3-8 (p86): Tempo
p1-6-3-9 (p87): Velocity
p1-6-3-10 (p87): Temporal Cycles
p1-6-3-11 (p88): Time Series Analysis
p1-7 (p91): 7 Geographic Profiling
p1-7-1 (p91): Introduction
p1-7-2 (p91): Background of Geographic Profiling
p1-7-3 (p92): Geographic Profiling Schools of Thought
p1-7-4 (p93): Criminal Geographic Targeting (CGT)
p1-7-4-1 (p93): Personalities and History
p1-7-4-2 (p93): Application
p1-7-5 (p95): Investigative Psychology (I-?)
p1-7-5-1 (p95): Personalities and History
p1-7-5-2 (p96): Application
p1-7-6 (p97): CrimeStat
p1-7-6-1 (p97): Personalities and History
p1-7-6-2 (p97): Application
p1-7-6-3 (p100): Empirically Calibrated Decay Functions
p1-7-7 (p100): Wedge Theory
p1-7-7-1 (p101): Personalities and History
p1-7-7-2 (p101): Application
p1-7-8 (p101): Geoforensic Analysis
p1-7-8-1 (p101): Personalities and History
p1-7-8-2 (p102): Application
p1-7-9 (p102): Philosophical Foundations
p1-7-10 (p103): Individual Methods
p1-7-11 (p105): Research on the Accuracy of Geographic Profiling Systems
p1-7-12 (p107): Glossary of Terms
p1-8 (p109): 8 Forecasting and Prediction
p1-8-1 (p109): Overview
p1-8-1-1 (p110): Why Forecasts Work
p1-8-1-2 (p110): Why Forecasts Don't Work
p1-8-1-3 (p111): The Utility of Forecasts
p1-8-1-4 (p111): Temporal Forecasting
p1-8-1-5 (p112): Spatial Forecasting
p1-8-1-6 (p112): Why Predictions Work
p1-8-2 (p113): Decision Models
p1-8-2-1 (p117): Why Predictions Don't Work
p1-8-3 (p120): Methods
p1-8-3-1 (p121): Percent Change
p1-8-3-2 (p123): Correlation
p1-8-3-3 (p123): Autocorrelation
p1-8-3-4 (p125): Linear Trend Estimation (Regression)
p1-9 (p127): 9 Intervention
p1-9-1 (p127): Introduction
p1-9-2 (p128): Objectives
p1-9-3 (p132): Intervention Strategies
p1-9-4 (p135): Opportunity Cost
p1-9-5 (p135): Tactics
p1-9-6 (p136): The Action Plan—A Combined Approach
p2 (p136): SECTION Ⅱ
p2-1 (p141): 10 Getting Started
p2-1-1 (p141): Goals of This Section:
p2-1-2 (p141): Introduction
p2-1-3 (p141): Accessing the Textbook Web page
p2-1-3-1 (p141): Online Resources
p2-1-4 (p142): Obtaining the Software
p2-1-5 (p142): Open and Evaluate Data using ATAC
p2-1-5-1 (p142): Lesson 1: Open the Sample Database in ATAC
p2-1-5-1-1 (p142): Practice on Your Own: Evaluate Crime Data Using ATAC
p2-1-5-1-2 (p143): ATAC and Microsoft Access
p2-1-5-2 (p143): Lesson 2: Open a Microsoft Access Database in ATAC
p2-1-5-2-1 (p144): Practice on Your Own: Evaluate Call for Service Data
p2-1-5-2-2 (p144): ATAC and Microsoft Excel
p2-1-5-3 (p145): Lesson 3: Open a Microsoft Excel Spreadsheet in ATAC
p2-1-5-4 (p145): Lesson 4: Open the Sample Database in Excel
p2-1-5-4-1 (p145): Practice on Your Own: Evaluate Data Using Microsoft Excel
p2-1-5-5 (p145): Lesson 5: Import Data from Access into Excel
p2-1-5-5-1 (p147): Practice On Your Own: Import Data into Excel
p2-1-5-6 (p147): Review Exercise: Open Other Data
p2-1-5-6-1 (p147): Review Questions
p2-2 (p149): 11 Identify Patterns Using the IZE Method (Process Models)
p2-2-1 (p149): Goals of This Section:
p2-2-2 (p149): Introduction
p2-2-2-1 (p150): Layouts in ATAC
p2-2-2-2 (p150): Lesson 6: Organizing a Layout Using ATAC
p2-2-2-3 (p151): Lesson 7: Saving a Layout in ATAC
p2-2-2-3-1 (p152): Layouts in Excel
p2-2-2-4 (p152): Lesson 8: Organizing a Layout Using Excel
p2-2-2-4-1 (p152): Practice On Your Own: Create a Robbery Layout Using Microsoft Excel
p2-2-3 (p153): Sorting Data
p2-2-3-1 (p153): Lesson 9: Organizing Data by Sorting in ATAC
p2-2-3-2 (p154): Lesson 10: Organizing Data by Sorting in Excel
p2-2-3-2-1 (p154): Review Exercise: Create Sorts for Three Crime Types
p2-2-3-2-2 (p154): Review Questions
p2-3 (p155): 12 Minimize and Maximize—IZE method
p2-3-1 (p155): Goals of This Section:
p2-3-2 (p155): Introduction
p2-3-3 (p155): Structured Query Language
p2-3-3-1 (p156): Lesson 11: Minimize Using the Visual Query Module in ATAC
p2-3-3-2 (p157): Lesson 12: Minimize Using the Filter Bar in ATAC
p2-3-3-3 (p158): Lesson 13: Minimize Using the Filter Bar in Excel
p2-3-3-3-1 (p159): Practice on Your Own: Minimize Data Using Excel
p2-3-3-3-2 (p159): Practice on Your Own: Find the Twins
p2-3-3-3-3 (p160): Practice on Your Own: Identify a Crime Series
p2-3-4 (p160): Regular Expressions
p2-3-4-1 (p160): Lesson 14: Create and Run a Regular Expression
p2-3-4-2 (p161): Lesson 15: Create and Run a Proximity Search RegularExpression
p2-3-4-3 (p162): Lesson 16: Create a Concept
p2-3-4-4 (p163): Lesson 17: Create and Run a Proximity Search Concept
p2-3-4-4-1 (p164): Review Exercise: Using RegEx to Perform the Inductive Method
p2-3-4-4-2 (p165): Review Questions
p2-4 (p167): 13 The Behavioral Dimension: Describing the Problem
p2-4-1 (p167): Goals of This Section:
p2-4-2 (p167): Introduction
p2-4-3 (p168): Archetypes
p2-4-3-1 (p168): Lesson 18: Creating an Archetype from ATAC
p2-4-4 (p168): Movement Logs
p2-4-4-1 (p169): Lesson 19: Develop a Movement Log
p2-4-4-1-1 (p170): Review Exercise: Creating an Archetype
p2-4-4-1-2 (p170): Review Questions
p2-5 (p171): 14 The Temporal Dimension
p2-5-1 (p171): Goals of This Section:
p2-5-2 (p171): Introduction
p2-5-3 (p172): Activity Schedules
p2-5-3-1 (p172): Lesson 20: Creating an Activity Schedule
p2-5-3-2 (p173): Lesson 21: Create a Temporal Topology Using Excel
p2-5-3-3 (p174): Lesson 22: Create a Temporal Topology Using ATAC
p2-5-3-4 (p175): Practice On Your Own: Evaluate Time of Day and Day of Week for Various Crimes
p2-5-4 (p177): Dynamic Temporal Analysis
p2-5-4-1 (p177): Temporal Distribution
p2-5-4-2 (p178): Tempo
p2-5-4-3 (p178): Lesson 23: Create a Tempogram in ATAC
p2-5-4-4 (p179): Lesson 24: Create a Tempogram in Excel
p2-5-4-5 (p180): Lesson 25: Create a Mean Interval Forecast with Excel
p2-5-4-5-1 (p181): Practice on Your Own: Calculate Mean Interval for Various Other Crimes
p2-5-5 (p181): Variograms
p2-5-5-1 (p181): Lesson 26: Create a Variogram Using Excel
p2-5-5-2 (p182): Lesson 27: Create a Variogram Using ATAC
p2-5-5-2-1 (p183): Practice on Your Own: Calculate Lag Variograms against Various Other Crimes
p2-5-5-3 (p184): Lesson 28: Study of Correlation Using Excel
p2-5-5-4 (p186): Lesson 29: Study of Correlation Using ATAC
p2-5-5-4-1 (p187): Review Exercise: Evaluate Other Crime Series Using Correlation
p2-5-5-4-2 (p188): Review Questions
p2-6 (p189): 15 The Spatial Dimension
p2-6-1 (p189): Goals of This Section:
p2-6-2 (p189): Introduction
p2-6-3 (p190): Preparing for Spatial Analysis
p2-6-3-1 (p190): Lesson 30: Launching ArcGIS and Exploring the Interface
p2-6-3-2 (p191): Lesson 31: Add the Gotham City Crime Series Using ArcGIS
p2-6-3-2-1 (p191): ArcGIS and the Spatial Analyst Extension
p2-6-3-3 (p192): Lesson 32: Loading Spatial Analyst
p2-6-3-3-1 (p192): ArcGIS and SPACE (Spatial Predictive Analysis of Crime Extension)
p2-6-3-4 (p193): Lesson 33: Loading the SPACE Tools in ArcGIS
p2-6-3-4-1 (p193): Preparing for Spatial Analysis Using Google Earth
p2-6-3-5 (p193): Lesson 34: Load Points in Google Earth
p2-6-3-6 (p194): Lesson 35: Export to Google Earth
p2-6-3-6-1 (p194): Preparing for Spatial Analysis Using ATAC
p2-6-3-7 (p195): Lesson 36: Loading Points in ATAC
p2-6-3-7-1 (p196): Point Distributions
p2-6-3-7-2 (p196): Frame of Reference
p2-6-3-8 (p196): Lesson 37: Frame of Reference
p2-6-3-8-1 (p196): Identify Point Distribution
p2-6-3-8-2 (p198): Mean Nearest Neighbor
p2-6-3-9 (p198): Lesson 38: Calculating Nearest Neighbor Statistics
p2-6-3-9-1 (p198): Density Fields
p2-6-3-10 (p199): Lesson 39: Density Fields Using ArcGIS
p2-6-3-11 (p200): Lesson 40: Calculating Density Analysis in ATAC
p2-6-3-11-1 (p201): Minimum Convex Polygon
p2-6-3-12 (p202): Lesson 41: Minimum Convex Polygon
p2-6-3-12-1 (p202): Standard Deviation Ellipse
p2-6-3-13 (p202): Lesson 42: Standard Deviation Ellipse
p2-6-3-13-1 (p202): Spider Analysis
p2-6-3-14 (p203): Lesson 43: Spider Analysis
p2-6-3-15 (p205): Lesson 44: Establishing Offender Activity Space Using Spider Lines and Density Fields
p2-6-3-15-1 (p206): Space-Time Analysis
p2-6-3-15-2 (p206): Sequence Lines
p2-6-3-16 (p208): Lesson 45: Sequence Lines
p2-6-3-16-1 (p208): Geographic Profiling
p2-6-3-17 (p208): Lesson 46: Calculate the Great Circle against the Beltway Sniper Series
p2-6-3-17-1 (p209): Practice On Your Own: Are you a Marauder or Commuter?
p2-6-3-18 (p210): Lesson 47: Create a Newton-Swoope Geoforensic Profile of the Beltway Sniper Series
p2-6-3-19 (p211): Review Exercise: Using the Great Circle and Geographic Profiling
p2-6-3-20 (p212): Review Questions
p3 (p213): Bibliography
p4 (p219): Index

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Includes bibliographical references and index.

Research has shown that the majority of crimes are committed by persistent or serial offenders, with as little as seven percent of offenders accounting for approximately 60 percent of all crimes. By focusing police efforts on these prolific offenders and learning to identify, analyze, and resolve the crimes they commit, the law enforcement community can protect and defend the public much more effectively. Tactical Crime Analysis: Research and Investigation provides a comprehensive discussion on both the theoretical and practical aspects of crime series analysis, making it a critical resource for those engaged in crime prevention and investigation. Appropriate for all levels Written by a distinctive team of authors, each of whom combine academic credibility, police experience, and years of analytical success, this manual is designed for the novice, the working professional, and the veteran crime analyst. It provides an introduction to the realities of tactical crime analysis, assists current analysts in further developing their professional skills, and offers advanced insight for experts. Covering all aspects of serial crime investigation, the book explores: Major problems and issues within serial crime Offender spatial behavior Linkage analysis Investigative techniques Geographic profiling Next event forecasting Supplemental materials to enhance the text This multi-faceted resource includes an interview with a serial offender, case studies of solved serial crimes, and an accompanying website with supplemental material. An important addition to the reference shelf of analytical professionals, this resource provides a revealing glimpse into the machinations of the serial offender

2024-06-13