SlideShare a Scribd company logo
1 of 16
ANALYSIS OF CRIME CJS 380 Crime Science:Principles, Strategies and Practice of Crime Prevention and Reduction© J.A. Gilmer
What is Crime Analysis “Crime analysis is the systematic study of crime and disorder problems as well as other police-related issues—including sociodemographic, spatial, and temporal factors—to assist the police in (1) criminal apprehension, (2) crime and disorder reduction, (3) crime prevention, and (4) evaluation.” Rachel Boba Boba, Rachel (2009)  Crime Analysis with Crime Mapping, 2nd Ed. Thousand Oaks: Sage, p. 3.
Components of Crime Analysis Qualitative data and methods Non-numerical data to discover underlying meanings and patterns (e.g., field research, content analysis) Quantitative data and methods Statistical analysis of numerical or categorical data Sociodemographic information Personal characteristics of individuals or groups (gender, race/ethnicity, income, age, education, etc.) Spatial information Crime locations relative to features of the environment Temporal information Long-term (annual, seasonal), short-term (monthly, weekly, daily) patterns
Development of Crime Analysis Vollmer’s vision – professionalize policing Police deployment Used pin maps for calls for service in police beats  MO (modus operandi) analysis Tool in offender identification and apprehension August Vollmer (1876-1955) Chief of Police, Berkeley, CA, 1905-1932
Other Factors in Development of CA Crime analysis unit to systematically review all daily reports (O.W. Wilson – Vollmer’s protĂ©gĂ©) Response time effectiveness challenged (Kansas City Preventive Patrol Experiment) Detective units highly unproductive (RAND, 1975.  The Criminal Investigation Process.) Routinely identify habitual offenders (Integrated Criminal Apprehension Program) Rise and development of computer-aided technology
Professionalizing Crime Analysis 1980 – IALEIA   1989—SCCA (Society of Certified Crime Analysts) Now part or IALEIA  1990—IACA Int’l Assoc of Law Enforcement Intelligence Analysts Law Enforcement Analytic Standards Int’l Assoc of Crime Analysts IACA Certification
Challenges of Crime Analysis Computerized data for police record-keeping is not always easily accessed for analytic purposes Usually limited to the specific jurisdiction ‘Turf’ issues hinder sharing across jurisdictions Inter-jurisdictional sharing issues Software compatibility Differential reporting/recording of incidents Limited to information the PD already collects Non-routine data collection (surveys, interviews etc.) are difficult to obtain permission/resources to conduct
Types of Crime Analysis Administrative—Analytic reports for executives, legislators, public Investigative—part of a criminal investigation, e.g., offender or geographic profiling Tactical—daily summaries/compilations (incidents, arrests, FIRs, CFS, etc.) to determine a crime pattern or series Strategic—longer-term (months) analysis of crime problem area or pattern
‘Hot Spots’ and ‘Burning Times’ Hot Spots Crime concentration/cluster Distinct geographic location address, corner, ‘place’ Less than a ‘high crime area’ Hot spot underlying causes Crime Generators:  numbers of people interacting in one place Crime Attractors: locations known for crime opportunity Crime Enablers: little or no regulation of behavior  Burning Times Repeated moments of high crime in a temporal cycle Not analyzed as often as hot spots Affected by ‘routine activities’ (daily, weekly)
3 X 3 Hotspot Matrix – Concepts Temporal Spatial Diffused –various time of day or day of week Focused—occurring at various but regular times throughout period Acute—occurring at regular frequency in narrow window Dispersed—fairly evenly spread Clustered—most incidents occurring at a few places Hotpoint—single location that triggers most incidents Jerry Ratcliffe “
the aim of this work is to enable operational police officers to include spatial and temporal factors in their thinking. Although there may be some disagreement between officers as to the exact nature of a crime hotspot, chances are that the discussion will still generate positive thinking about the best operational tactic to employ to combat the particular hotspot problem.”   Ratcliffe, J.H. (2004) “The Hotspot Matrix: A Framework for the Spatio-Temporal Targeting of Crime Reduction”. Police Practice and Research5(1):5–23
Hotspot Matrix and Crime Reduction Jerry Ratcliffe.  The Hotspot Matrix as a framework for the spatio-temporal targeting of crime reduction. Paper from the 11th International Symposium on Environmental Criminology and Crime Analysis, 20th June 2003, held in Cincinnati, OH. Used by permission.
Hotspot Matrix and Crime Reduction Jerry Ratcliffe.  The Hotspot Matrix as a framework for the spatio-temporal targeting of crime reduction. Paper from the 11th International Symposium on Environmental Criminology and Crime Analysis, 20th June 2003, held in Cincinnati, OH. Used by permission.
Hotspot Matrix and Crime Reduction Jerry Ratcliffe.  The Hotspot Matrix as a framework for the spatio-temporal targeting of crime reduction. Paper from the 11th International Symposium on Environmental Criminology and Crime Analysis, 20th June 2003, held in Cincinnati, OH. Used by permission.
Hotspot Matrix and Crime Reduction Jerry Ratcliffe.  The Hotspot Matrix as a framework for the spatio-temporal targeting of crime reduction. Paper from the 11th International Symposium on Environmental Criminology and Crime Analysis, 20th June 2003, held in Cincinnati, OH. Used by permission.
Strategic Crime Analysis Use more ‘immediate’ data from tactical  crime analysis to identify/analyze problems to generate more innovative solutions (responses) Community problems may include both criminal activity and quality of life issues Crime analysis – the most important element of the problem-solving process. “Crime analysis often focuses on generating reports on overall reported crime or searching for patterns to solve individual crimes. For problem-solving to be effective, analysis must be a more mainstream police activity than is traditionally the case. Although there is no one specific method or structure to best accomplish this, the analysis function must be central to the problem-solving process.”   Bynum, T. S.  (2001).  Using Analysis for Problem Solving: A Guidebook for Law Enforcement.  Washington, DC: US Dept. of Justice Office of Community Oriented Policing Services.
Study Points What are the components of crime analysis? How can crime analysis be used to further the goals of policing? What are the different types of crime analysis and when is each appropriate? What is Ratcliffe’s Hotspot Matrix and how can/should it be used? How does strategic crime analysis fit with community policing?

More Related Content

What's hot

Analytics-Based Crime Prediction
Analytics-Based Crime PredictionAnalytics-Based Crime Prediction
Analytics-Based Crime PredictionProdapt Solutions
 
Intelligence Led Policing for Police Decision Makers
Intelligence Led Policing for Police Decision MakersIntelligence Led Policing for Police Decision Makers
Intelligence Led Policing for Police Decision MakersDeborah Osborne
 
Fundamentalsof Crime Mapping 1
Fundamentalsof Crime Mapping 1Fundamentalsof Crime Mapping 1
Fundamentalsof Crime Mapping 1Osokop
 
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means ClusteringCrime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means ClusteringReuben George
 
Crime Analysis & Prediction System
Crime Analysis & Prediction SystemCrime Analysis & Prediction System
Crime Analysis & Prediction SystemBigDataCloud
 
Predictive Policing - How Emerging Technologies Are Helping Prevent Crimes?
Predictive Policing - How Emerging Technologies Are Helping Prevent Crimes?Predictive Policing - How Emerging Technologies Are Helping Prevent Crimes?
Predictive Policing - How Emerging Technologies Are Helping Prevent Crimes?Sunil Jagani
 
Crime analysis
Crime analysisCrime analysis
Crime analysisColin Bartram
 
Routine activity theory
Routine activity theoryRoutine activity theory
Routine activity theoryNihaarikaSaini
 
Crime sensing with big data - Singapore perspective
Crime sensing with big data - Singapore perspectiveCrime sensing with big data - Singapore perspective
Crime sensing with big data - Singapore perspectiveBenjamin Ang
 
Fraud Detection presentation
Fraud Detection presentationFraud Detection presentation
Fraud Detection presentationHernan Huwyler
 
cyber security and forensic tools
cyber security and forensic toolscyber security and forensic tools
cyber security and forensic toolsSonu Sunaliya
 
Application of Machine Learning in Cybersecurity
Application of Machine Learning in CybersecurityApplication of Machine Learning in Cybersecurity
Application of Machine Learning in CybersecurityPratap Dangeti
 
Incident response process
Incident response processIncident response process
Incident response processBhupeshkumar Nanhe
 
Cyber crime and issues
Cyber crime and issuesCyber crime and issues
Cyber crime and issuesRoshan Mastana
 
Crimes against economics and political order, white collar and corporate crime
Crimes against economics and political order, white collar and corporate crimeCrimes against economics and political order, white collar and corporate crime
Crimes against economics and political order, white collar and corporate crimeLeen Gultia
 
Cyber Security
Cyber SecurityCyber Security
Cyber SecurityArshad Khan
 

What's hot (20)

Analytics-Based Crime Prediction
Analytics-Based Crime PredictionAnalytics-Based Crime Prediction
Analytics-Based Crime Prediction
 
Intelligence Led Policing for Police Decision Makers
Intelligence Led Policing for Police Decision MakersIntelligence Led Policing for Police Decision Makers
Intelligence Led Policing for Police Decision Makers
 
Fundamentalsof Crime Mapping 1
Fundamentalsof Crime Mapping 1Fundamentalsof Crime Mapping 1
Fundamentalsof Crime Mapping 1
 
Crime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means ClusteringCrime Pattern Detection using K-Means Clustering
Crime Pattern Detection using K-Means Clustering
 
Crime Analysis & Prediction System
Crime Analysis & Prediction SystemCrime Analysis & Prediction System
Crime Analysis & Prediction System
 
Predictive Policing
Predictive PolicingPredictive Policing
Predictive Policing
 
Predictive Policing - How Emerging Technologies Are Helping Prevent Crimes?
Predictive Policing - How Emerging Technologies Are Helping Prevent Crimes?Predictive Policing - How Emerging Technologies Are Helping Prevent Crimes?
Predictive Policing - How Emerging Technologies Are Helping Prevent Crimes?
 
Crime analysis
Crime analysisCrime analysis
Crime analysis
 
Routine activity theory
Routine activity theoryRoutine activity theory
Routine activity theory
 
Crime sensing with big data - Singapore perspective
Crime sensing with big data - Singapore perspectiveCrime sensing with big data - Singapore perspective
Crime sensing with big data - Singapore perspective
 
Crime Detection
Crime DetectionCrime Detection
Crime Detection
 
Cybercrime
CybercrimeCybercrime
Cybercrime
 
Fraud Detection presentation
Fraud Detection presentationFraud Detection presentation
Fraud Detection presentation
 
cyber security and forensic tools
cyber security and forensic toolscyber security and forensic tools
cyber security and forensic tools
 
Application of Machine Learning in Cybersecurity
Application of Machine Learning in CybersecurityApplication of Machine Learning in Cybersecurity
Application of Machine Learning in Cybersecurity
 
Incident response process
Incident response processIncident response process
Incident response process
 
Malicious traffic
Malicious trafficMalicious traffic
Malicious traffic
 
Cyber crime and issues
Cyber crime and issuesCyber crime and issues
Cyber crime and issues
 
Crimes against economics and political order, white collar and corporate crime
Crimes against economics and political order, white collar and corporate crimeCrimes against economics and political order, white collar and corporate crime
Crimes against economics and political order, white collar and corporate crime
 
Cyber Security
Cyber SecurityCyber Security
Cyber Security
 

Viewers also liked

2014 Chicago Crime Data Analysis
2014 Chicago Crime Data Analysis 2014 Chicago Crime Data Analysis
2014 Chicago Crime Data Analysis Yawen Li
 
Chicago crime analysis
Chicago crime analysisChicago crime analysis
Chicago crime analysisjangyoung
 
Prevent the crime, don't just record it
Prevent the crime, don't just record itPrevent the crime, don't just record it
Prevent the crime, don't just record itVideoIQ
 
Fundamentalsof Crime Mapping Tactical Analysis Concepts
Fundamentalsof Crime Mapping Tactical Analysis ConceptsFundamentalsof Crime Mapping Tactical Analysis Concepts
Fundamentalsof Crime Mapping Tactical Analysis ConceptsOsokop
 
Cloud GIS for Crime Mapping
Cloud GIS for Crime Mapping Cloud GIS for Crime Mapping
Cloud GIS for Crime Mapping IJORCS
 
Null picture forensics using ghiro appliance
Null   picture forensics using ghiro applianceNull   picture forensics using ghiro appliance
Null picture forensics using ghiro applianceinvad3rsam
 
Molecular forensics 2010
Molecular forensics 2010Molecular forensics 2010
Molecular forensics 2010Bruno Mmassy
 
Conventions of crime documentaries
Conventions of crime documentariesConventions of crime documentaries
Conventions of crime documentariescloudbouncer
 
Chapter02
Chapter02Chapter02
Chapter02warren142
 

Viewers also liked (12)

2014 Chicago Crime Data Analysis
2014 Chicago Crime Data Analysis 2014 Chicago Crime Data Analysis
2014 Chicago Crime Data Analysis
 
Chicago crime analysis
Chicago crime analysisChicago crime analysis
Chicago crime analysis
 
Prevent the crime, don't just record it
Prevent the crime, don't just record itPrevent the crime, don't just record it
Prevent the crime, don't just record it
 
Ch 7
Ch 7Ch 7
Ch 7
 
CCTNS Karnataka Overview
CCTNS Karnataka OverviewCCTNS Karnataka Overview
CCTNS Karnataka Overview
 
Fundamentalsof Crime Mapping Tactical Analysis Concepts
Fundamentalsof Crime Mapping Tactical Analysis ConceptsFundamentalsof Crime Mapping Tactical Analysis Concepts
Fundamentalsof Crime Mapping Tactical Analysis Concepts
 
Cloud GIS for Crime Mapping
Cloud GIS for Crime Mapping Cloud GIS for Crime Mapping
Cloud GIS for Crime Mapping
 
Null picture forensics using ghiro appliance
Null   picture forensics using ghiro applianceNull   picture forensics using ghiro appliance
Null picture forensics using ghiro appliance
 
Molecular forensics 2010
Molecular forensics 2010Molecular forensics 2010
Molecular forensics 2010
 
CCTNS & Homeland Security
CCTNS & Homeland SecurityCCTNS & Homeland Security
CCTNS & Homeland Security
 
Conventions of crime documentaries
Conventions of crime documentariesConventions of crime documentaries
Conventions of crime documentaries
 
Chapter02
Chapter02Chapter02
Chapter02
 

Similar to 06 analysis of crime

Write a One-Page Reaction Paper on the concept of why you believe it.docx
Write a One-Page Reaction Paper on the concept of why you believe it.docxWrite a One-Page Reaction Paper on the concept of why you believe it.docx
Write a One-Page Reaction Paper on the concept of why you believe it.docxMelvinaLeepercy
 
Merseyside Crime Analysis
Merseyside Crime AnalysisMerseyside Crime Analysis
Merseyside Crime AnalysisParang Saraf
 
Crime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los AngelesCrime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los AngelesHeta Parekh
 
Database and Analytics Programming - Project report
Database and Analytics Programming - Project reportDatabase and Analytics Programming - Project report
Database and Analytics Programming - Project reportsarthakkhare3
 
Propose Data Mining AR-GA Model to Advance Crime analysis
Propose Data Mining AR-GA Model to Advance Crime analysisPropose Data Mining AR-GA Model to Advance Crime analysis
Propose Data Mining AR-GA Model to Advance Crime analysisIOSR Journals
 
Journal of-Criminal Justice, Vol. 7, pp. 217-241 (1979). Per.docx
Journal of-Criminal Justice, Vol. 7, pp. 217-241 (1979). Per.docxJournal of-Criminal Justice, Vol. 7, pp. 217-241 (1979). Per.docx
Journal of-Criminal Justice, Vol. 7, pp. 217-241 (1979). Per.docxpriestmanmable
 
Predictive Policing Essay
Predictive Policing EssayPredictive Policing Essay
Predictive Policing EssayAshley Thomas
 
Crime prediction based on crime types
Crime prediction based on crime typesCrime prediction based on crime types
Crime prediction based on crime typesIJDKP
 
Disadvantages Of Intelligence Led Policing
Disadvantages Of Intelligence Led PolicingDisadvantages Of Intelligence Led Policing
Disadvantages Of Intelligence Led PolicingChristina Ramirez
 
Crime Analysis based on Historical and Transportation Data
Crime Analysis based on Historical and Transportation DataCrime Analysis based on Historical and Transportation Data
Crime Analysis based on Historical and Transportation DataValerii Klymchuk
 
SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...
SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...
SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...ijaia
 
Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern ...
Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern ...Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern ...
Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern ...gerogepatton
 
Student #1 I have chosen to write about the history of data anal.docx
Student #1 I have chosen to write about the history of data anal.docxStudent #1 I have chosen to write about the history of data anal.docx
Student #1 I have chosen to write about the history of data anal.docxjohniemcm5zt
 
Chapter 1 Introduction The Linearity of Contemporary Criminal Just
Chapter 1 Introduction The Linearity of Contemporary Criminal JustChapter 1 Introduction The Linearity of Contemporary Criminal Just
Chapter 1 Introduction The Linearity of Contemporary Criminal JustMorganLudwig40
 
Mr. Friend is acrime analystwith the SantaCruz, Califo.docx
Mr. Friend is acrime analystwith the SantaCruz, Califo.docxMr. Friend is acrime analystwith the SantaCruz, Califo.docx
Mr. Friend is acrime analystwith the SantaCruz, Califo.docxaudeleypearl
 
Mr. Friend is acrime analystwith the SantaCruz, Califo.docx
Mr. Friend is acrime analystwith the SantaCruz, Califo.docxMr. Friend is acrime analystwith the SantaCruz, Califo.docx
Mr. Friend is acrime analystwith the SantaCruz, Califo.docxroushhsiu
 
Chicago Crime Analysis
Chicago Crime AnalysisChicago Crime Analysis
Chicago Crime AnalysisTom Donoghue
 

Similar to 06 analysis of crime (20)

Write a One-Page Reaction Paper on the concept of why you believe it.docx
Write a One-Page Reaction Paper on the concept of why you believe it.docxWrite a One-Page Reaction Paper on the concept of why you believe it.docx
Write a One-Page Reaction Paper on the concept of why you believe it.docx
 
Merseyside Crime Analysis
Merseyside Crime AnalysisMerseyside Crime Analysis
Merseyside Crime Analysis
 
Crime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los AngelesCrime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los Angeles
 
Database and Analytics Programming - Project report
Database and Analytics Programming - Project reportDatabase and Analytics Programming - Project report
Database and Analytics Programming - Project report
 
Criminological Research Essay
Criminological Research EssayCriminological Research Essay
Criminological Research Essay
 
Crime
CrimeCrime
Crime
 
Propose Data Mining AR-GA Model to Advance Crime analysis
Propose Data Mining AR-GA Model to Advance Crime analysisPropose Data Mining AR-GA Model to Advance Crime analysis
Propose Data Mining AR-GA Model to Advance Crime analysis
 
Journal of-Criminal Justice, Vol. 7, pp. 217-241 (1979). Per.docx
Journal of-Criminal Justice, Vol. 7, pp. 217-241 (1979). Per.docxJournal of-Criminal Justice, Vol. 7, pp. 217-241 (1979). Per.docx
Journal of-Criminal Justice, Vol. 7, pp. 217-241 (1979). Per.docx
 
Predictive Policing Essay
Predictive Policing EssayPredictive Policing Essay
Predictive Policing Essay
 
Crime prediction based on crime types
Crime prediction based on crime typesCrime prediction based on crime types
Crime prediction based on crime types
 
Disadvantages Of Intelligence Led Policing
Disadvantages Of Intelligence Led PolicingDisadvantages Of Intelligence Led Policing
Disadvantages Of Intelligence Led Policing
 
Crime Analysis based on Historical and Transportation Data
Crime Analysis based on Historical and Transportation DataCrime Analysis based on Historical and Transportation Data
Crime Analysis based on Historical and Transportation Data
 
Crime statistics uses
Crime statistics  usesCrime statistics  uses
Crime statistics uses
 
SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...
SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...
SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...
 
Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern ...
Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern ...Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern ...
Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern ...
 
Student #1 I have chosen to write about the history of data anal.docx
Student #1 I have chosen to write about the history of data anal.docxStudent #1 I have chosen to write about the history of data anal.docx
Student #1 I have chosen to write about the history of data anal.docx
 
Chapter 1 Introduction The Linearity of Contemporary Criminal Just
Chapter 1 Introduction The Linearity of Contemporary Criminal JustChapter 1 Introduction The Linearity of Contemporary Criminal Just
Chapter 1 Introduction The Linearity of Contemporary Criminal Just
 
Mr. Friend is acrime analystwith the SantaCruz, Califo.docx
Mr. Friend is acrime analystwith the SantaCruz, Califo.docxMr. Friend is acrime analystwith the SantaCruz, Califo.docx
Mr. Friend is acrime analystwith the SantaCruz, Califo.docx
 
Mr. Friend is acrime analystwith the SantaCruz, Califo.docx
Mr. Friend is acrime analystwith the SantaCruz, Califo.docxMr. Friend is acrime analystwith the SantaCruz, Califo.docx
Mr. Friend is acrime analystwith the SantaCruz, Califo.docx
 
Chicago Crime Analysis
Chicago Crime AnalysisChicago Crime Analysis
Chicago Crime Analysis
 

More from Jim Gilmer

12 pam problem analysis module
12 pam problem analysis module12 pam problem analysis module
12 pam problem analysis moduleJim Gilmer
 
10 bullying in schools
10 bullying in schools10 bullying in schools
10 bullying in schoolsJim Gilmer
 
05 altering physical environment
05 altering physical environment05 altering physical environment
05 altering physical environmentJim Gilmer
 
04 building communities
04 building communities04 building communities
04 building communitiesJim Gilmer
 
03 crime as choice
03 crime as choice03 crime as choice
03 crime as choiceJim Gilmer
 
02 positivism social eco chicago school
02 positivism social eco chicago school02 positivism social eco chicago school
02 positivism social eco chicago schoolJim Gilmer
 
11 problem solving with sara
11 problem solving with sara11 problem solving with sara
11 problem solving with saraJim Gilmer
 
01 basic concepts
01 basic concepts01 basic concepts
01 basic conceptsJim Gilmer
 

More from Jim Gilmer (8)

12 pam problem analysis module
12 pam problem analysis module12 pam problem analysis module
12 pam problem analysis module
 
10 bullying in schools
10 bullying in schools10 bullying in schools
10 bullying in schools
 
05 altering physical environment
05 altering physical environment05 altering physical environment
05 altering physical environment
 
04 building communities
04 building communities04 building communities
04 building communities
 
03 crime as choice
03 crime as choice03 crime as choice
03 crime as choice
 
02 positivism social eco chicago school
02 positivism social eco chicago school02 positivism social eco chicago school
02 positivism social eco chicago school
 
11 problem solving with sara
11 problem solving with sara11 problem solving with sara
11 problem solving with sara
 
01 basic concepts
01 basic concepts01 basic concepts
01 basic concepts
 

Recently uploaded

Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomnelietumpap1
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........LeaCamillePacle
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfphamnguyenenglishnb
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
Planning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxPlanning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxLigayaBacuel1
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Romantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptxRomantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptxsqpmdrvczh
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 

Recently uploaded (20)

Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choom
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
Rapple "Scholarly Communications and the Sustainable Development Goals"
Rapple "Scholarly Communications and the Sustainable Development Goals"Rapple "Scholarly Communications and the Sustainable Development Goals"
Rapple "Scholarly Communications and the Sustainable Development Goals"
 
Planning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxPlanning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptx
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
Romantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptxRomantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptx
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 

06 analysis of crime

  • 1. ANALYSIS OF CRIME CJS 380 Crime Science:Principles, Strategies and Practice of Crime Prevention and Reduction© J.A. Gilmer
  • 2. What is Crime Analysis “Crime analysis is the systematic study of crime and disorder problems as well as other police-related issues—including sociodemographic, spatial, and temporal factors—to assist the police in (1) criminal apprehension, (2) crime and disorder reduction, (3) crime prevention, and (4) evaluation.” Rachel Boba Boba, Rachel (2009) Crime Analysis with Crime Mapping, 2nd Ed. Thousand Oaks: Sage, p. 3.
  • 3. Components of Crime Analysis Qualitative data and methods Non-numerical data to discover underlying meanings and patterns (e.g., field research, content analysis) Quantitative data and methods Statistical analysis of numerical or categorical data Sociodemographic information Personal characteristics of individuals or groups (gender, race/ethnicity, income, age, education, etc.) Spatial information Crime locations relative to features of the environment Temporal information Long-term (annual, seasonal), short-term (monthly, weekly, daily) patterns
  • 4. Development of Crime Analysis Vollmer’s vision – professionalize policing Police deployment Used pin maps for calls for service in police beats MO (modus operandi) analysis Tool in offender identification and apprehension August Vollmer (1876-1955) Chief of Police, Berkeley, CA, 1905-1932
  • 5. Other Factors in Development of CA Crime analysis unit to systematically review all daily reports (O.W. Wilson – Vollmer’s protĂ©gĂ©) Response time effectiveness challenged (Kansas City Preventive Patrol Experiment) Detective units highly unproductive (RAND, 1975. The Criminal Investigation Process.) Routinely identify habitual offenders (Integrated Criminal Apprehension Program) Rise and development of computer-aided technology
  • 6. Professionalizing Crime Analysis 1980 – IALEIA 1989—SCCA (Society of Certified Crime Analysts) Now part or IALEIA 1990—IACA Int’l Assoc of Law Enforcement Intelligence Analysts Law Enforcement Analytic Standards Int’l Assoc of Crime Analysts IACA Certification
  • 7. Challenges of Crime Analysis Computerized data for police record-keeping is not always easily accessed for analytic purposes Usually limited to the specific jurisdiction ‘Turf’ issues hinder sharing across jurisdictions Inter-jurisdictional sharing issues Software compatibility Differential reporting/recording of incidents Limited to information the PD already collects Non-routine data collection (surveys, interviews etc.) are difficult to obtain permission/resources to conduct
  • 8. Types of Crime Analysis Administrative—Analytic reports for executives, legislators, public Investigative—part of a criminal investigation, e.g., offender or geographic profiling Tactical—daily summaries/compilations (incidents, arrests, FIRs, CFS, etc.) to determine a crime pattern or series Strategic—longer-term (months) analysis of crime problem area or pattern
  • 9. ‘Hot Spots’ and ‘Burning Times’ Hot Spots Crime concentration/cluster Distinct geographic location address, corner, ‘place’ Less than a ‘high crime area’ Hot spot underlying causes Crime Generators: numbers of people interacting in one place Crime Attractors: locations known for crime opportunity Crime Enablers: little or no regulation of behavior Burning Times Repeated moments of high crime in a temporal cycle Not analyzed as often as hot spots Affected by ‘routine activities’ (daily, weekly)
  • 10. 3 X 3 Hotspot Matrix – Concepts Temporal Spatial Diffused –various time of day or day of week Focused—occurring at various but regular times throughout period Acute—occurring at regular frequency in narrow window Dispersed—fairly evenly spread Clustered—most incidents occurring at a few places Hotpoint—single location that triggers most incidents Jerry Ratcliffe “
the aim of this work is to enable operational police officers to include spatial and temporal factors in their thinking. Although there may be some disagreement between officers as to the exact nature of a crime hotspot, chances are that the discussion will still generate positive thinking about the best operational tactic to employ to combat the particular hotspot problem.” Ratcliffe, J.H. (2004) “The Hotspot Matrix: A Framework for the Spatio-Temporal Targeting of Crime Reduction”. Police Practice and Research5(1):5–23
  • 11. Hotspot Matrix and Crime Reduction Jerry Ratcliffe. The Hotspot Matrix as a framework for the spatio-temporal targeting of crime reduction. Paper from the 11th International Symposium on Environmental Criminology and Crime Analysis, 20th June 2003, held in Cincinnati, OH. Used by permission.
  • 12. Hotspot Matrix and Crime Reduction Jerry Ratcliffe. The Hotspot Matrix as a framework for the spatio-temporal targeting of crime reduction. Paper from the 11th International Symposium on Environmental Criminology and Crime Analysis, 20th June 2003, held in Cincinnati, OH. Used by permission.
  • 13. Hotspot Matrix and Crime Reduction Jerry Ratcliffe. The Hotspot Matrix as a framework for the spatio-temporal targeting of crime reduction. Paper from the 11th International Symposium on Environmental Criminology and Crime Analysis, 20th June 2003, held in Cincinnati, OH. Used by permission.
  • 14. Hotspot Matrix and Crime Reduction Jerry Ratcliffe. The Hotspot Matrix as a framework for the spatio-temporal targeting of crime reduction. Paper from the 11th International Symposium on Environmental Criminology and Crime Analysis, 20th June 2003, held in Cincinnati, OH. Used by permission.
  • 15. Strategic Crime Analysis Use more ‘immediate’ data from tactical crime analysis to identify/analyze problems to generate more innovative solutions (responses) Community problems may include both criminal activity and quality of life issues Crime analysis – the most important element of the problem-solving process. “Crime analysis often focuses on generating reports on overall reported crime or searching for patterns to solve individual crimes. For problem-solving to be effective, analysis must be a more mainstream police activity than is traditionally the case. Although there is no one specific method or structure to best accomplish this, the analysis function must be central to the problem-solving process.” Bynum, T. S. (2001). Using Analysis for Problem Solving: A Guidebook for Law Enforcement. Washington, DC: US Dept. of Justice Office of Community Oriented Policing Services.
  • 16. Study Points What are the components of crime analysis? How can crime analysis be used to further the goals of policing? What are the different types of crime analysis and when is each appropriate? What is Ratcliffe’s Hotspot Matrix and how can/should it be used? How does strategic crime analysis fit with community policing?