Geospatial Training For professionals/Specializations · Physical, Online
Crime Mapping Using GIS and Security Analytics Training Workshop
10 Days5 sessions available Certificate on completion
Crime Mapping Using GIS and Security Analytics Training Workshop provides practical skills in using Geographic Information Systems (GIS), spatial analysis, location intelligence and security data analytics to understand, visualize and analyse crime patterns and support evidence-based security decision-making. The workshop covers crime data collection and management, geocoding, hotspot analysis, spatial-temporal crime analysis, predictive crime mapping, risk and vulnerability mapping, patrol planning, incident visualization, security dashboards and the use of geospatial technologies for policing, public safety and security management. Participants also explore remote sensing, mobile GIS, open geospatial data, spatial statistics, network analysis and emerging GeoAI techniques for identifying crime patterns, assessing security risks and improving deployment of security resources.
This workshop equips security and GIS professionals with practical techniques for crime mapping, spatial crime analysis, hotspot detection, security risk mapping, predictive analytics and GIS-based decision support. It is particularly relevant to policing, law enforcement, private security, county governments, emergency management, intelligence, urban planning and public safety.
Course objectives
Develop and manage GIS-based crime databases for organising, mapping and analysing spatial crime and security information.
Apply spatial and temporal analysis techniques to identify crime hotspots, patterns, clusters, trends and high-risk locations.
Use GIS network, proximity and accessibility analysis to support police patrol planning, emergency response and security-resource deployment.
Develop crime-risk maps, security dashboards and geospatial reports that support operational and strategic security decision-making.
Apply predictive analytics, machine learning and GeoAI concepts to emerging crime patterns while recognising data-quality, privacy, bias and responsible-use considerations
Who should attend
Police Officers, Crime Analysts, Intelligence Analysts, GIS Officers, GIS Analysts, Security Officers, Security Managers, Law Enforcement Professionals, Investigators, Intelligence Officers, Public Safety Officers, County Government Officers, Urban Planners, Emergency Management Professionals, Disaster Risk Management Officers, Private Security Professionals, Risk Managers, Critical Infrastructure Security Professionals, Transport Security Officers, CCTV and Surveillance Professionals, Data Analysts, Geospatial Professionals, Remote Sensing Specialists, Researchers, Security Consultants, Government Security Agencies, Humanitarian Security Personnel
Course content
ntroduction to Crime Mapping, GIS and Security Analytics: concepts of crime mapping, GIS fundamentals, spatial thinking in security, location intelligence, crime analysis workflows, GIS applications in policing and public safety, security intelligence and
Crime Data Collection, Management and Geocoding: crime incident data, police records, incident coordinates, addresses and locations, geocoding, reverse geocoding, data standardisation, duplicate records, missing coordinates, data quality, crime classifica
GIS Database Design for Crime and Security Data: crime geodatabases, incident layers, offender and victim-related spatial records where legally appropriate, locations of police stations, CCTV cameras, emergency facilities, critical infrastructure, adminis
Crime Mapping and Spatial Visualization: point mapping, graduated symbols, density maps, choropleth maps, proportional symbols, thematic mapping, incident clustering, map classification, map layouts and professional crime maps
Crime Hotspot Analysis and Spatial Patterns: hotspot concepts, kernel density estimation, point-pattern analysis, clustering, Getis-Ord Gi*, Local Moran's I, high-risk locations, repeat locations, crime concentration and hotspot interpretation
Temporal and Spatio-Temporal Crime Analysis: daily and seasonal crime patterns, time-of-day analysis, weekly and monthly trends, temporal hotspots, crime displacement, emerging crime patterns and spatio-temporal visualization
Spatial Statistics for Crime and Security Analysis: descriptive spatial statistics, spatial autocorrelation, clustering techniques, proximity analysis, distance analysis, correlation of crime with environmental factors and interpretation of statistical ou
Crime Risk, Vulnerability and Threat Mapping: security risk assessment, vulnerable locations, critical infrastructure, schools and public facilities, environmental risk factors, social vulnerability, threat mapping, risk scoring and security priority area
Network Analysis and Emergency Response Planning: road-network analysis, shortest routes, service areas, accessibility analysis, police response zones, emergency response times, facility location, patrol routes and resource accessibility
GIS for Police Patrol Planning and Resource Deployment: patrol-zone design, police station coverage, patrol optimisation, crime hotspot prioritisation, resource allocation, response planning, shift analysis and operational GIS
Predictive Crime Mapping and Security Analytics: crime prediction concepts, historical crime patterns, predictive indicators, machine learning for spatial data, risk scoring, forecasting, model validation, limitations and responsible use of predictive sec
GIS for Urban Security and Public Safety: crime and urban form, lighting and streetscapes, transport hubs, public spaces, CCTV location analysis, safe-city planning, security infrastructure and urban crime prevention
Security Dashboards, Incident Mapping and Geospatial Reporting: interactive security dashboards, incident monitoring, KPI development, hotspot dashboards, trend charts, operational maps, executive security reports and geospatial decision-support systems
Mobile GIS, Field Data Collection and Real-Time Incident Mapping: mobile GIS, GPS-enabled data collection, field incident reporting, mobile forms, location capture, photo and evidence attachment, synchronisation, real-time mapping and field verification
GeoAI, Machine Learning and Advanced Crime Analytics: GeoAI concepts, machine-learning workflows, spatial prediction, anomaly detection, automated hotspot identification, geospatial feature engineering, AI-assisted security analytics, model evaluation and
General notes
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Frequently asked questions
The workshop is designed for police and law-enforcement officers, crime and intelligence analysts, GIS professionals, security managers, investigators, public-safety officers, government and county security personnel, private-security professionals, urban planners, risk managers and data analysts involved in crime prevention and security planning.
Participants will learn how to collect, manage, geocode and analyse crime data; create crime maps; identify crime hotspots and spatial patterns; conduct spatial and temporal analysis; map security risks and vulnerable locations; analyse police coverage and response areas; and develop GIS-based security reports and dashboards.
Yes. Participants learn practical techniques for identifying and analysing crime hotspots, clusters, density patterns, spatial relationships and high-risk locations using GIS and spatial-statistical methods. These techniques can support evidence-based policing, security planning and resource allocation.
Yes. The workshop introduces predictive crime mapping, machine learning and GeoAI for analysing historical crime patterns and identifying potential areas of elevated risk. It also covers responsible use, data quality, model limitations, privacy and potential bias in predictive security analytics.
Participants learn how to apply GIS to crime mapping, police patrol planning, emergency response, security-risk assessment, critical-infrastructure protection, urban public safety, incident monitoring, vulnerability mapping and security-resource deployment, as well as developing maps and dashboards for decision-makers.