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[p. v; TOC] 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.