Environmental decision-making is becoming more complex and more urgent.
This session introduces ecosystem service priority mapping: a practical, data-driven approach to identifying where land-use interventions will deliver the greatest ecological benefit. Using our recent project with the Joint Nature Conservation Committee as a case study, we’ll show how automated, open-source workflows can unlock consistent, transparent, and reproducible prioritisation at scale.
You’ll see how Ramboll combined environmental expertise with Python-based automation to create national-scale priority maps for coastal water quality, river erosion, coastal erosion, and flow variability. We’ll explore how automation eliminates manual bottlenecks, improves quality control, accelerates iteration, and empowers clients to continue evolving their analyses independently.
This session is ideal for geospatial practitioners, environmental planners, data scientists, and anyone looking to streamline spatial decision support workflows. Attendees will gain clear, actionable insights into implementing reproducible analytics using open-source tools and learn how these methods can be applied to natural capital, biodiversity, and broader environmental planning.
