• 8 intensive modules focused on environmental criminology and crime data analysis.
• Master QGIS software with hands-on, practical exercises designed for real-world application.
• Pricing can be discounted for group bookings or individuals (please contact me for details)
Unleash the power of data-driven decision-making and position yourself as a vital asset to your conservation planning efforts. Elevate your expertise and make meaningful impacts with cutting-edge analytical skills.
Each module will take approximately 1.5 - 2 hours to complete and will be delivered in a live, interactive format guided by me. You'll have the opportunity to ask questions, explore real-world examples, and apply key principles to your own context.
The pilot will run for four weeks, with two live sessions per week to keep momentum high and help participants apply what they learn straight away. Each group will be limited to 10–15 participants for individual support.
Sessions will be held via Google Meets, and all materials will be provided after each session.
After the training, I remain available for continued mentoring and support by email — whether you’re applying the tools in practice, facing a new challenge, or simply want to deepen your learning. This ensures you're not just completing a course, but gaining a long-term resource for your work.
Each live session will last ~2 hours and is delivered directly by me, with flexible scheduling. The course combines accessible theory with practical planning tools and time for discussion of your site’s specific challenges.
Key concepts from situational crime prevention and environmental criminology
Why crimes happen where and when they do
Translating theory into operational insight
Applying crime analysis to enforcement planning and patrol design
Risk-based approaches to prevention
Integrating intelligence-led thinking into management effectiveness frameworks
Ongoing mentoring support is included, so participants can follow up by email as they begin applying concepts to their sites.
1: Introduces the QGIS interface, key concepts, and file types used in spatial analysis for conservation. Learn how GIS supports intelligence-led approaches to wildlife protection and how to structure your data for analytical use. Ideal for complete beginners or those needing a refresher on core tools.
2: Covers the foundational skills needed for conservation analysis in QGIS—coordinate reference systems, layer management, basic editing, joins, and field calculations. By the end of this module, you’ll be comfortable preparing, cleaning, and visualising data for use in later analytical stages.
Introduces the core principles of crime science and their application to wildlife protection. Explore theories of opportunity, rational choice, and crime concentration, and learn how these ideas explain poaching patterns in space and time. By the end of the module, you’ll understand how analytical frameworks from urban crime research can guide prevention and patrol design in conservation landscapes.
Teaches how to account for patrol bias and visualise effort. Build CPUE (Catch Per Unit Effort) maps, create standardised patrol grids, and explore how detection patterns differ from underlying risk. Essential for anyone seeking to compare performance between teams or areas.
Introduces spatial statistics for crime and risk analysis. Use Getis-Ord Gi* and other clustering tools to identify statistically significant hotspots and separate real risk patterns from artefacts of patrol effort. A critical step in moving from raw observation to actionable intelligence.
Explains how environmental factors—slope, vegetation, access routes—shape movement across landscapes. Create cost surfaces and least-cost paths to understand how offenders, wildlife, or patrols navigate terrain. This module bridges hotspots with behavioural prediction.
Shows how to weight and combine multiple environmental layers into a single composite risk surface. Learn how to normalise, reclassify, and merge data to reveal areas of converging opportunity. Produces the risk models that underpin operational planning.
Completes the analytical cycle by linking data-driven insight to decision-making and field implementation. Learn how to define aims, design concepts of operations, build clean map layouts, communicate findings through PICINTSUMs, and evaluate patrol performance using process indicators. The key lesson: analysis only matters when it guides what happens on the ground.
This comprehensive bundle brings together all eight modules from the QGIS Conservation Crime Analysis programme—covering the full workflow from basic GIS skills to intelligence-led operational planning.
You’ll learn how to clean and prepare spatial data, map patrol effort, identify hotspots, model movement, build composite risk surfaces, and translate analysis into practical decision-making. Each module combines clear step-by-step guidance with the crime-science reasoning behind the methods, building both technical skill and analytical judgement.
Designed for conservation practitioners, analysts, and protected-area managers, this series provides a complete, field-tested framework for turning patrol and environmental data into actionable intelligence.
Includes:
All eight training modules (PDF format)
Practice exercises and reflection prompts
Guidance on PICINTSUMs and performance indicators
Optional simulated datasets (available separately)
Optional practice dataset for all modules.
This data package provides the complete set of practice files used across all eight modules—replicating real protected-area conditions while remaining anonymised and risk-free.
It allows you to practise every workflow in the training series safely and consistently.
Give a ranger or analyst the crime-science QGIS skills most protected areas desperately lack.
QGIS is free — but almost no one on the frontline knows how to turn it into a proper crime-science tool for poaching prevention, patrol planning, and risk modelling.For £99 you give one ranger, scout, or protected-area analyst lifetime access to:
All 8 modules built specifically for conservation crime science (hot-spot mapping, least-cost-path patrol routes, risk modelling, incident clustering, etc.)
The complete simulated African protected-area dataset (poaching incidents, patrol posts, terrain, camera traps — everything)
Printable certificate + short update when they start using it on real patrols
Your £99 directly turns open-source software into deployable anti-poaching intelligence for someone who protects wildlife every day.
