Table of contents for Crime analysis and crime mapping / Rachel Boba.

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Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


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Contents
 Part I: Introduction to the Crime Analysis and Crime Mapping
Chapter 1: Introduction and Overview
Chapter 2: Crime Analysis Defined
Definition of crime analysis	00
The crime analysis process	000
Collection	000
Collation000 
Analysis	000
Data modification sub cycle	000
Dissemination	00
Feedback	000
Summary	00
Types of crime analysis	000
Intelligence analysis	000
Criminal investigative analysis	000
Tactical crime analysis	000
Strategic crime analysis		000
Administrative crime analysis	000
Summary points	000
Chapter exercises (included separately for instructors)	000
Chapter 3: The Crime Analysis Profession
History of crime analysis
Beginnings of crime analysis
United States: 1900?1970
1970 to present
Current state of crime analysis
Crime analysis as a career track
Crime analyst qualifications and job descriptions
Interns/volunteers
Crime analysis assistant/technician
Entry-level crime analyst
Experienced crime analyst
Specialty crime analyst
Crime analysis supervisor
CAU organizational chart
Summary points
Chapter exercises (included separately for instructors)
Chapter 4: Introduction to Crime Mapping
Definitions: GIS and crime mapping
Geographic features
Point feature
Line feature
Polygon feature
Image feature
Types of crime mapping
Single symbol mapping
Buffers
Graduated mapping	
Chart mapping
Density mapping
Interactive crime mapping
History of crime mapping
Beginnings of crime mapping
United States: 1900?1970
1970 to present
Current state of crime mapping
Crime mapping as a career track
Summary points
Chapter exercises (included separately for instructors)
Chapter 5: Theory and Crime Analysis
Environmental criminology
Crime triangle
Rational choice theory
Crime pattern theory
Routine activities theory
Situational crime prevention
Repeat victimization and the ?80/20? rule
Displacement and diffusion of benefits
Displacement of crime
Diffusion of benefits
Opportunity
Summary points
Chapter exercises (included separately for instructors)
 
Part II: Data and Technology
Chapter 6: Crime Analysis Data
Review of terms
Database
Secondary data
Primary data
Geographic data
Tabular data
Databases used in crime analysis
Tabular databases
Crime incidents
Arrests
Calls for service
Accidents
Other databases
Geographic databases
Geocoding
Data considerations
?Reported? activity
Local and federal crime data standards
Using calls for service data to study crime problems
Using arrest data to study crime problems and offenders
Data integrity
Summary points
Chapter exercises (included separately for instructors)
Chapter 7: Crime Analysis Technology
Computer Hardware
Data collection and storage
Computer aided dispatch system (CAD)
Records management system (RMS )
Geographic data system
Data collation and analysis
Spreadsheet software
Database management software (DBMS)
Statistical software
Geographic information systems (GIS) software
Dissemination
Word processing software
Spreadsheet software
Graphics software
Publishing software
Presentation software
Internet/Intranet
Specialized crime analysis
Summary points
Chapter exercises (included separately for instructors)
 
Part III: Tactical Crime Analysis
Chapter 8: Tactical Crime Analysis Data Collection and Pattern Identification
Collection and collation of tactical crime analysis data
Crime report data
Modus Operandi (MO)
Persons
Vehicle
Field information
Pattern identification methodology
Types of patterns
Approaches to pattern identification
Deduction and induction
Persons crime and property crime
Initial pattern identification
Query method
Trend Hunter? method
Pattern finalization
Identifying the principal case
Identifying other key cases in the pattern
Identifying additional related cases
Identifying investigative leads
Clearing cases
Summary points
Chapter exercises (included in a separate document)
Chapter 9: Describing, Analyzing, and Disseminating Known Patterns
Describing and analyzing known patterns
Crime type and modus operandi analysis
Time series analysis
Exact time
Exact day of the week
Exact time of day/day of week
Exact date: Intervals between events
Weighted time span analysis
Spatial analysis of patterns
Pattern identification
Describing and understanding a pattern
Tactical crime analysis products
Summary points
Chapter exercises (included separately for instructors)
 
Part IV: Strategic Crime Analysis
Chapter 10: Analyzing Problems: Definition, Context, and Nature of the Problem
What is a problem?
Context of the problem
Data
Agency and community
Research
Current nature of the problem
Frequency or count
Crosstabulations
Percentages
Crosstabulations percents
Percentile
Rates
Mean and standard deviation
Summary points
Chapter exercises (included separately for instructors)
Chapter 11: Analyzing Problems: Temporal Analysis, Victimization, and Primary Data Collection
Temporal analysis
By year
By month or quarter
By week
Time of day/day of week
Weighted time span analysis
Percent change
Victims and repeat victimization
Primary data collection
Summary points
Chapter exercises (included separately for instructors)
Chapter 12: Analyzing Problems: Spatial Analysis
Displaying data and statistics
By category
By statistical classification
Natural breaks
Equal interval
Quantile
Standard deviation
By manual method
Classification guidelines and summary
Identifying and categorizing hotspots
Identifying hotspots
Manual method
Graduated color mapping
Grid mapping
Ellipses
Density mapping
Summary of hotspot identification methods
Categorizing hotspots
Summary points
Chapter exercises (included separately for instructors)
Chapter 13: Strategic Crime Analysis Products
Choosing analysis information to disseminate
Strategic crime analysis products	
Types of products
Guidelines for product contents
Guidelines for table and chart contents
Guidelines for map contents
Templates and practical examples
Summary points
Chapter exercises (included separately for instructors)
 
Part V: Administrative Crime Analysis
Chapter 14: Administrative Crime Analysis
Guidelines for conducting administrative crime analysis
Audience
Purpose
Considerations
Example
Administrative crime analysis medium: The Internet
Audience
Types of information
Considerations
Privacy and confidentiality issues
Disclaimers
Interactive mapping
Crime analysis Internet examples
Summary points
Chapter exercises (included separately for instructors)
Appendix A: Sample Problem Analysis Project
Glossary of Terms
References
About the Author
Index

Library of Congress Subject Headings for this publication:

Crime analysis -- United States.
Crime analysis -- United States -- Data processing.
Digital mapping -- United States.
Geographic information systems -- United States.