Crime analysis with crime mapping
Rachel Boba
Abstract
Rachel Boba
Abstract
PART I. FOUNDATIONS OF CRIME ANALYSIS 1. Crime Analysis and the Profession 2. Theoretical Foundations of Crime Analysis 3. Effectiveness of Police in Reducing Crime and the Role of Crime Analysis PART II. CRIME ANALYSIS PROCESS, DATA, AND TECHNOLOGY 4. Crime Analysis Process and Application 5. Crime Analysis Data 6. Crime Analysis Technology 7. Geographic Data and Crime Mapping PART III. TACTICAL CRIME ANALYSIS 8. Repeat Incidents and Tactical Data Collection 9. Pattern Identification Process 10. Identifying Meaningful/Useful Patterns 11. Describing, Analyzing, and Disseminating Known Patterns PART IV. STRATEGIC CRIME ANALYSIS 12. Analyzing Problems: Process and Statistics 13. Analyzing Problems: Application of Techniques Part I 14. Analyzing Problems: Application of Techniques Part II 15. Strategic Crime Analysis Results and Dissemination PART V. ADMINISTRATIVE CRIME ANALYSIS AND CONCLUSIONS 16. Administrative Crime Analysis 17. Conclusions and Future Issues
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PART I. FOUNDATIONS OF CRIME ANALYSIS 1. Crime Analysis and the Profession 2. Theoretical Foundations of Crime Analysis 3. Effectiveness of Police in Reducing Crime and the Role of Crime Analysis PART II. CRIME ANALYSIS PROCESS, DATA, AND TECHNOLOGY 4. Crime Analysis Process and Application 5. Crime Analysis Data 6. Crime Analysis Technology 7. Geographic Data and Crime Mapping PART III. TACTICAL CRIME ANALYSIS 8. Repeat Incidents and Tactical Data Collection 9. Pattern Identification Process 10. Identifying Meaningful/Useful Patterns 11. Describing, Analyzing, and Disseminating Known Patterns PART IV. STRATEGIC CRIME ANALYSIS 12. Analyzing Problems: Process and Statistics 13. Analyzing Problems: Application of Techniques Part I 14. Analyzing Problems: Application of Techniques Part II 15. Strategic Crime Analysis Results and Dissemination PART V. ADMINISTRATIVE CRIME ANALYSIS AND CONCLUSIONS 16. Administrative Crime Analysis 17. Conclusions and Future Issues
Key concepts: Crime analysis, Criminology, Process (computing), Identification (biology), Crime statistics, Process analysis, Data science, Computer science