PP Chapter 1: Introduction to Crime Mapping and Spatial Analysis
Conceptual Foundations of Criminology and Criminal Events
The Criminal Event Framework:
Examines the motivations and behaviors of both victims and suspects.
Analyzes how victims and suspects interact with their surrounding environment across both space and time.
Addresses six core investigative and analytical questions: Who, What, When, Where, Why, and How?
Theoretical Approaches in Criminology:
Criminology is defined as the study of crime and criminal behavior.
No single, universally accepted theory exists to explain the presence of crime within a society.
Consensus Perspectives:
Posit that crime is a normal, inherent, and healthy component of any functional society.
Conflict Perspectives:
Assert that crime arises directly from social group conflicts and the unequal distribution of power and resources.
Levels of Criminological Application:
Macro-Level Application:
Focuses on societal-level variables, such as economic structures, governmental frameworks, and institutional power.
Evaluates how these broad structural forces influence macro crime rates within a society.
Micro-Level Application:
Focuses on individual-level traits and circumstances.
Examines individual factors including intelligence quotient (IQ), psychological state, temperament, biological characteristics, and personal financial circumstances.
Analyzes how these specific micro-level factors influence an individual's decision to commit a criminal act.
Theoretical Frameworks of Environmental Criminology
Social Disorganization Theory:
Explains elevated crime rates within specific geographical neighborhoods based on structural community characteristics:
Lower Economic Composition: Weakens social order and community controls, directly contributing to crime.
Residential Instability and High Population Density: Leads to a higher concentration of suitable criminal targets.
Offender Coexistence: Motivated offenders reside in the same physical space alongside suitable targets with minimal or absent guardianship.
Exerts a direct impact on both the physical appearance and the social structure of the neighborhood.
Key Early Research Findings:
Neighborhoods with social disorganization exhibited consistently high crime rates regardless of demographic changes or ethnic turnover over time.
Demonstrates that the geographic area itself is criminogenic, rather than the specific individuals inhabiting it.
Core Perspectives of Environmental Criminology:
Environmental criminology centers on three primary theoretical perspectives:
Routine Activity Theory
Rational Choice Theory
Crime Pattern Theory
Crime Prevention Through Environmental Design (CPTED):
Evaluates physical design features of an area or building to reduce opportunities for criminal behavior.
Key interventions include:
Improved spatial lighting.
Restricted or controlled access points.
Clear, well-lit, and unobstructed pedestrian walkways.
Routine Activity Theory:
Proposes that crime occurs when three key elements converge simultaneously in space and time:
A motivated offender.
A suitable target or victim.
A lack of capable guardianship.
Shifts in societal work and leisure patterns at both micro and macro levels directly alter the structure of criminal opportunities.
Problem Analysis Triangle (Routine Activities Theory Analysis Triangle):
Serves as a conceptual framework illustrating the interaction of factors necessary for a crime to occur, along with their corresponding controllers.

* **Inner Triad (Core Elements of Crime)**:
* **Offender**: The individual committing the act.
* **Place**: The physical location where the event occurs.
* **Victim or Target**: The person or object targeted.
* **Outer Triad (Controller / Intervention Layer)**:
* **Handlers**: Individuals with emotional or social leverage over the offender (e.g., parents, probation officers, peers).
* **Managers**: Individuals responsible for overseeing and controlling the physical place (e.g., property owners, store clerks, building managers).
* **Guardians**: Individuals or measures protecting the victim or target (e.g., security personnel, bystanders, alarm systems, police).
Rational Choice Theory:
Assumes offenders act with degree-based rationality, planning crimes to minimize the risk of detection/apprehension while maximizing potential rewards.
By analyzing the reasoning behind offender choices, analysts can predict and forecast future target selections and spatial movements.
Crime Pattern Theory:
Posits that both offenders and victims exhibit predictable, non-random travel routines and spatial behaviors.
Key Analytical Concepts:
Mental Maps: Internal cognitive representations of physical surroundings.
Nodes: Primary activity centers routinely visited (e.g., home, workplace, shopping centers, entertainment venues).
Paths: The spatial routes traveled between nodes.
Awareness Space: The total geographical area an individual is familiar with, derived from their nodes and paths.
Crime Emergence and Hypothesis Testing:
Emergence Perspective: Crime analysis must evaluate not only existing high-crime locations but also identify emerging spatial trends where crime is likely to manifest in the future.
Hypothesis Testing:
Hypotheses are formal, testable statements derived from criminology theories designed to validate or refute theoretical assumptions.
Applied directly to criminal events to guide tactical and strategic responses.
Example Hypothesis: "The next hit in a series is more likely to take place between the hours of 6:00 PM and 8:00 PM."
Fundamentals and Definitions of Crime Analysis
Formal Definitions:
Boba (2005, p. 6): Defined as "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 criminal apprehension, crime and disorder reduction, crime prevention, and evaluation."
International Association of Crime Analysts (IACA, 2005): Defined as a "type of law enforcement analysis that is focused on the study of criminal incidents; the identification and analysis of patterns, trends, and problems; and the dissemination of information that helps a police agency develop tactics and strategies to solve patterns, trends, and problems."
Four Primary Categories of Crime Analysis:
Crime Analysis: Broad focus centered on criminal events.
Tactical Analysis: Short-term operational focus on active criminal patterns.
Strategic Analysis: Long-term operational and policy focus on root causes.
Administrative Analysis: Operational, administrative, and police operations analysis catering to management and public stakeholders.
Tactical Analysis:
Definition (Boba, 2005): Examines recent criminal events and potential criminal activity by analyzing how, when, and where events occur to establish patterns and series, identify leads or suspects, and clear cases.
Core Objectives & Analytical Methods:
Proactively review police reports to identify trends, spatial clusters, activity patterns, sprees, and crime series.
Statistical Analysis: Predict the next day of the week, time of day, and probable date for upcoming offenses committed by the same suspect(s).
Database Searches: Query internal police databases and investigative records to isolate similar modus operandi (M.O.) and crime characteristics.
Geographic Predictive Modeling: Utilize spatial constructs—such as lines, ellipses, bounding rectangles, and probability grid analysis—to identify likely locations for future incidents in a series.
Journey-to-Crime Analysis: Model spatial movement patterns to estimate an offender's probable home address, anchor point, or operational base, delivering actionable intelligence to investigative units.
Iterative Cycle: Analysis is continuously repeated as new incident reports are generated.
Strategic Analysis:
Definition (Boba, 2005): Involves the study of crime and other law enforcement issues to identify long-standing patterns of crime and other problems and to assess police responses to these problems.
IACA Core Goal: "helping agencies to identify root causes of crime problems and develop creative problem-solving strategies to reduce crime."
Core Objectives & Analytical Methods:
Generate hot spot maps across various administrative and geographic boundaries, incorporating longitudinal time-comparison studies.
Produce analytical reports detailing date, time, and day-of-week crime distributions across designated spatial zones.
Establish activity "thresholds" within specific areas to generate weekly or monthly strategic operational plans ("battle plans") for agency units.
Design and implement specialized reporting protocols and process workflows across the department.
Maintain strategic database infrastructure.
Administrative Analysis:
Definition: Involves presenting key findings from crime research and spatial analysis to internal law enforcement executives, local government officials, and the public based on legal, political, and practical requirements.
Representative Functions:
Compiling demographic transformation reports for jurisdiction planning.
Aggregating crime statistics to support grant funding applications.
Preparing Uniform Crime Reporting (UCR) or Incident-Based Reporting System (NIBRS) submissions.
Publishing jurisdictional hotspot maps, pin maps, and spatial reference charts.
Conducting police operational and criminal intelligence analyses.
Core Objectives:
Support routine administrative record-keeping and official metrics reporting ("bean counting").
Audit and enhance UCR coding procedures by reviewing submitted reports for data entry accuracy.
Formulate recommendations for organizational and management system improvements.
Deliver timely data products and ad-hoc spatial distribution maps.
Execute personnel staffing and resource deployment studies.
Common Goals and Institutional Benefits:
Core Analytical Goals:
Ensure high data quality by providing fast, reliable, and precise information.
Enhance the structural quality of administrative reporting.
Strengthen strategic decision-making capacities across leadership.
Initiate proactive analytical workflows targeting specific crime types amenable to crime analysis interventions.
Institutional Benefits:
Increases overall data accessibility, enabling analysts to gain intimate familiarity with departmental data structures.
Identifies systemic data errors, facilitating structural corrections in data collection.
Serves as a critical operational framework for departmental goal planning, implementation, and problem-solving.
Strategic Models and Community Policing Frameworks
Integration of the SARA Model and Crime Analysis:
Crime analysis functions as an operational engine for community-based policing and proactive crime prevention partnerships.
The SARA Model (Scan, Analyze, Respond, Assess) directly aligns with the standardized Crime Analysis Process Cycle.

Comparative Workflow Mapping:
Scanning (SARA) Collect & Collate (Crime Analysis):
Scan: Problem identification phase.
Collect: Gathering raw incident reports, CAD logs, and spatial data.
Collate: Organizing, cleaning, and structuring raw data into relational formats.
Analysis (SARA) Analyze (Crime Analysis):
Analyze: Deep-dive inquiry into spatial, temporal, and sociodemographic factors to determine root causes and patterns.
Response (SARA) Disseminate (Crime Analysis):
Respond: Development and execution of targeted interventions.
Disseminate: Strategic distribution of intelligence products, hot spot maps, and tactical bulletins to operational units.
Assessment (SARA) Evaluate (Crime Analysis):
Assess: Evaluating intervention effectiveness.
Evaluate: Rigorous post-implementation analysis to measure outcome metrics, displacement effects, or crime reduction success.
Geographic Information Systems (GIS) in Law Enforcement
Historical Evolution of GIS:
Early 1900s: Implementation of the first "modern" manual crime pin map in New York City.
1960s: Introduction of the earliest computerized crime mapping applications.
Late 1980s – Early 1990s: Widespread initial integration of GIS software within law enforcement operations.
Past 5–10 Years: Rapid acceleration in GIS deployment, though capabilities remain underutilized in select law enforcement agencies.
Definition and System Components:
Definition: High-performance software designed to store, manipulate, analyze, and display geographically referenced data.
The "System" Concept: Encompasses the diverse range of operational data routinely collected by law enforcement:
Geographic Data: Physical coordinate locations of criminal incidents, calls for service, offender home addresses, and infrastructure.
Attribute Data: Non-spatial information linked directly to geographic coordinates (e.g., suspect date of birth, vehicle make/model, stolen property details, modus operandi descriptors).
Operational Value and Optimization:
Optimizes limited departmental resources by targeting patrol deployment to high-need areas.
Directs focused enforcement tactics to verified geographic problem zones.
Streamlines administrative workflows and internal business processes.
Identifies critical data errors and collection flaws within existing record management systems (RMS), establishing robust quality control and assurance measures.
Institutional and Inter-Agency Rewards:
Data Quality Enhancement: Frequent mapping reveals systemic data collection inaccuracies, enabling corrective policy recommendations.
Data Sharing Framework: Establishes spatial location as a universal index—making GIS the "common language" across municipal, county, and federal agencies.
Efficiency & Cost Reduction: Saves operational time and reduces expenditures by streamlining data workflows.
Organizational Expertise: Positions crime analysts as resident subject-matter experts in data structures, software applications, and hardware integration.
Collaborative Partnerships:
Municipal Level: Fosters partnerships with City IT departments, Engineering, Public Utilities, and Urban Planning units.
County Level: Facilitates collaboration with County IT, Regional GIS divisions, Elections offices, and Associations of Governments.
Inter-Agency & Federal: Drives multi-jurisdictional data-sharing initiatives, cooperative grant writing, Homeland Security initiatives, and integration with Geospatial One-Stop web portals.
Spatial Data, Map Projections, and GIS Technical Mechanics
Projections (3D Spheroid to 2D Planar Space):
Definition: The mathematical transformation used to convert three-dimensional physical locations on the Earth's surface onto a flat two-dimensional map plane.
Requires hundreds of complex algorithms to optimize spatial accuracy for specific locations on Earth.
Earth Geometry: The Earth is an irregular spheroid (geoid) characterized by topographic variation (hills, valleys, and non-uniform curvature).
Types of Distortion:
Every two-dimensional map projection inherently introduces geometric distortion across one or more of six spatial properties:
Area: Preserving relative size.
Shape: Preserving local conformal geometry.
Direction: Preserving true cardinal directions.
Bearing: Preserving constant angular paths.
Distance: Preserving accurate linear measurement.
Scale: Preserving uniform dimensional ratios.
Coordinate Systems in the United States:
Universal Transverse Mercator (UTM): Standard global grid system utilizing projected latitude and longitude coordinates.
State Plane Coordinate System (SPCS): Derived from the UTM framework to minimize spatial distortion within localized zones, offering superior measurement accuracy for local municipal analysis.
Metadata and Projection Files:
Knowledge of exact projection specifications is required for accurate spatial measurement, spatial overlay, and cross-agency data sharing.
In ESRI ArcGIS Shapefiles, projection details are explicitly stored in an associated
.PRJmetadata file.Complete Projection Parameter Requirements: Sharing geospatial data requires specifying complete parameters (e.g., State Plane Coordinate System, NAD 1983 datum, FIPS zone 0202, Arizona Central projection, measured in International Feet or Meters).
Vector vs. Raster Data Formats:
Feature / Format | Vector Data Structure | Raster Data Structure |
|---|---|---|
Data Nature | Discrete geographical features ("a line stitched onto a blanket"). | Continuous geographical surfaces ("the entire blanket"). |
Representation | Points, Lines (Arcs), Polygons. | Grid cells (pixels) containing continuous values. |
Examples | Incident sites, street networks, precinct boundaries. | Aerial imagery, satellite photos, radar, elevation models. |
Specific Spatial Data Elements:
Point Data:
Zero-dimensional coordinates representing discrete locations.
Events/Incidents: Crime occurrences, calls for service (radio calls), traffic stops.
Physical Features: Police station locations, schools, recovered evidence locations.
Line (Arc) Data:
One-dimensional linear features defined by explicit starting and ending nodes.
Stores topological properties including network direction, length, and left/right side attributes.
Used for network routing, distance calculations, street centerlines, and administrative boundary lines.
Polygon Data:
Two-dimensional bounded planar regions enclosed by closed boundary lines.
Stores topological knowledge of internal area and neighboring spatial contiguity.
Functions as an aggregation container for point and line counts, automatically calculating enclosed surface area.
Crime Mapping Software and Professional Resources
Industry GIS Software Applications:
ArcGIS (ESRI): Comprehensive industry-standard GIS platform (utilizing applications such as ArcMap).
CrimeStat III: Specialized spatial statistics program designed for analyzing crime incident locations.
CrimeView: Integrated crime mapping and spatial analysis solution.
MapInfo: Desktop GIS software utilized for mapping and geographic analysis.
GeoDa: Open-source spatial data analysis software focusing on spatial econometrics and spatial autocorrelation.
Professional Associations and Digital Portals:
International Association of Crime Analysts (IACA):
Main Website:
www.IACA.netSoftware Vendor Directory:
http://www.iaca.net/Software.asp
National Institute of Justice (NIJ) Crime Mapping:
Spatial Analysis & Software Portal:
http://www.ojp.usdoj.gov/nij/maps/software.html
Arizona Association of Crime Analysts (AACA):
Regional Professional Portal:
http://www.aacaonline.org/