Comprehensive Study Guide to Crime Mapping and Geographic Information Systems
Foundations of Spatial Analysis and Historical Epidemiology
Analytical Utility of Cartography:
- Maps function as powerful analytical instruments by translating raw data into visual patterns, geographic variations, and concentrations across spatial-temporal landscapes.
- Spatial representations allow observers to discern immediate geographic relationships and clustering that tabular or narrative data obscure.
Sanitary Conditions in 19th-Century London:
- Prior to modern sewage infrastructure and water treatment facilities, urban centers such as London during the roughly were characterized by severe filth and rancid odors.
- Human waste from household toilets was routinely deposited directly into residential basements.
- Overflowing basement cesspools were manually pumped out into public streets and local waterways, directly contaminating sources of municipal drinking water such as the River Thames.
The Miasma Theory vs. Waterborne Transmission:
- Conventional scientific wisdom attributed virulent illnesses such as cholera to the air (the miasma theory), presuming that breathing foul, rancid odors arising from raw sewage caused fatal disease.
- Cholera was an exceptionally heinous disease, with infection frequently resulting in rapid mortality.
- An alternative hypothesis proposed by Robert Snow (also referenced as Sir Robert Snow) posited that cholera was not airborne, but rather transmitted through contaminated water supplies fed by sewage-polluted rivers.
The Broad Street Pump Case Study:
- To test the waterborne hypothesis during a localized outbreak, Robert Snow mapped cholera fatalities around the Broad Street pump in London (a location marked on historical records with a star, which remains preserved today).
- Mortality data were cartographically visualized using discrete black bars, with each bar representing a single documented death.
- The spatial distribution revealed an intense geographic concentration of fatalities tightly clustered within walking distance immediately surrounding the Broad Street pump.
- The Broad Street pump drew water directly from the sewage-contaminated River Thames; residents who retrieved and consumed water from this specific infrastructure contracted cholera and died.
- Distant peripheral pumps located toward the upper, lower, and outer margins of the mapped area displayed virtually zero associated deaths, as those alternative water sources were uncontaminated during the outbreak.
- This analytical cartography provided the empirical proof required to refute miasma theory and validate waterborne transmission, marking the birth of modern epidemiology.
- Additional historical accounts and documentation of this event can be found in Steven Johnson's book The Ghost Map and his associated presentation accessible via
ped.com/talksunder the search term "the ghost map talk."
Spatial Theory and the Structure of Crime Analysis
Tobler's First Law of Geography:
- Formulated by geographer Waldo Tobler, the foundational axiom of spatial analysis states: "Everything is related to everything else, but near things are more related than distant things."
- Everyday human social organization reflects this principle through proximity effects; individuals interact frequently with next-door or across-the-street neighbors, but rarely maintain connections with persons living , , , , or away.
- Social phenomena, demographic distributions, and behavioral patterns are geographically patterned and inherently concentrated in space.
Definition and Scope of Crime Analysis:
- Crime analysis is the systematic analysis of data to understand various operational and strategic topics within policing and public safety, aimed at formulating actionable responses.
- Crime mapping serves as an indispensable foundational building block within crime analysis, but crime analysis encompasses a broader scope than cartography alone.
Typology of Crime Analysis (International Association of Crime Analysts):
- Tactical Crime Analysis:
- Main focus: Short-term spatial and temporal crime patterns.
- Target phenomena: Crime series and crime sprees.
- Operational threshold: Typically focuses on identifying or more related offenses occurring within a compact spatial boundary (commonly approximately ) over an abbreviated temporal duration (commonly approximately ).
- Application: Guides direct field interventions, such as deploying directed tactical patrols to specific target sectors over the immediate to .
- Strategic Crime Analysis:
- Main focus: Long-term, chronic crime problems and long-range trends.
- Target phenomena: Persistent spatial hotspots and enduring aggregate conditions that cannot be mitigated within rapid operational timeframes.
- Criminal Intelligence Analysis:
- Main focus: Specific individuals and coordinated networks driving criminal activity.
- Target phenomena: High-rate prolific offenders, street gangs, and organized groups such as motorcycle clubs.
- Administrative Crime Analysis:
- Main focus: Internal organizational, logistical, and managerial questions within a public safety agency.
- Target phenomena: Assessing police department staffing adequacy, analyzing resource allocation, and evaluating the integration of administrative technologies to maximize operational efficiency.
Evidence-Based Spatial Policing and Analytical Mechanics
Spatial Foundations of Effective Crime Reduction:
- The most effective crime reduction frameworks developed over the past to are fundamentally grounded in spatial patterning and geographic concentration.
- Hotspots Policing: Identifies small geographic clusters where crime disproportionately concentrates across a jurisdiction to focus proactive enforcement and preventive resources.
- Problem-Oriented Policing (POP): Involves mapping repeat incident addresses to target locations driving systemic harm, such as the top or offending gas stations or hotels within a jurisdiction.
- Associated Interventions: Includes Situational Crime Prevention and Crime Prevention Through Environmental Design (CPTED), which modify the immediate built environment to reduce criminal opportunity.
The Driving Engine Metaphor:
- On Episode of Jerry Radcliffe's podcast Reducing Crime, guest Kevin Bethel (Commissioner of the Philadelphia Police Department) characterized crime analysis and crime mapping as "the fuel that drives the engine."
- Modern policing infrastructure constitutes a vehicle that cannot operate without fuel; analytical and spatial mapping functions serve as the critical energy driving contemporary crime prevention strategies.
Architecture of Geographic Information Systems (GIS)
Comprehensive Definition of GIS:
- A Geographic Information System (GIS) is formally defined as a tool consisting of hardware, software, data, people, and organizations for collecting, storing, analyzing, and disseminating information related to the earth.
Core System Components:
- Software: Desktop and enterprise software packages used to display and manipulate spatial layers. Esri's ArcGIS Pro represents the primary industry-standard software applied in spatial criminology, with competing platforms virtually absent from operational crime analysis units.
- Hardware: Technical computing devices, high-capacity servers, and specialized data-gathering hardware such as Global Positioning System (GPS) receivers.
- Data: Spatial, geometric, and tabular databases capturing geographic features and real-world occurrences.
- People and Organizations: Inter-agency collaborations, police department bureaus, and municipal data repositories that coordinate the systematic administration and exchange of spatial data.
Technological Progression Beyond Historical Pin Mapping:
- Historically, police departments tracked geographic crime patterns by physically sticking colored pins into large wall-mounted paper printouts.
- Photographic documentation from fieldwork as recently as demonstrates the continued presence of manual pin maps within municipal law enforcement agencies.
- Severe limitations of analog pin maps include spatial data loss: at the conclusion of a or monthly reporting interval, pins are cleared from the board, permanently erasing historical spatial trends.
- Modern enterprise GIS platforms provide digital infrastructure capable of digitally archiving, querying, and modeling longitudinal crime data spanning decades.
Spatial Layering Mechanics and Analytical Querying
The Overhead Projector Analogy:
- GIS architecture operates identically to classical classroom overhead projectors utilizing stacked transparent plastic sheets.
- Users draw discrete features on separate transparency sheets using dry-erase markers; stacking multiple sheets allows composite, complex patterns to emerge simultaneously.
Layer Hierarchy and Feature Classes:
- In GIS software such as Esri's ArcGIS Pro, individual data components are organized as layers or feature classes.
- Each discrete layer represents a single spatial phenomenon, such as neighborhood boundary polygons, street network polylines, discrete burglary point features, or continuous hotspot raster surfaces.
- Drawing Order in the Contents Window:
- Layers listed at the top of the contents pane are rendered directly over layers situated lower in the sequence.
- Structural ordering errors occur when solid, opaque polygon layers (such as neighborhood boundaries) are placed above point or polyline layers, visually concealing burglaries and streets underneath.
- Users manage information density by checking or unchecking visibility boxes in the contents pane to turn individual data layers on or off.
- Surface Generation: Advanced analytical tools, such as Kernel Density Estimation (KDE), compute spatial concentrations to produce continuous hotspot intensity surfaces beneath point incidents.
Spatial Problem-Solving Beyond Tabular Police Records:
- Official incident reports and raw narrative police records maintain no innate repository for geographic proximity or spatial relationships.
- Converting tabular crime records into "spatialized" GIS data allows analysts to compute complex spatial equations and queries that narrative records cannot answer:
- Calculation of exact distances to transit infrastructure (e.g., measuring proximity to the nearest bus stop or subway station).
- Journey-to-crime modeling (e.g., calculating the Euclidean or network distance traveled by an offender from their residential domicile to the crime scene).
- Micro-place spatial aggregation (e.g., quantifying the volume of offenses occurring within a precise buffer of a public municipal park).
- Proximity distributions (e.g., quantifying incidents occurring across the immediate surrounding parcels of commercial liquor establishments).
- Point pattern clustering (e.g., identifying geographic coordinates where specific offenses significantly concentrate in space, represented mathematically by coordinates and ).