Our Research

Geographic Information Systems (GIS) are powerful tools that allow us to see the world through the lens of data, helping us uncover patterns and make smarter decisions. This research dives into the potential of GIS to tackle real-world challenges, like simplifying the process of claiming carbon credits. By exploring how spatial data can be used to recommend future actions and identifying the most critical datasets for building effective models, this work aims to make sustainability initiatives more accessible and cost-effective. Importantly, this isn’t about replacing existing public services but rather complementing them with insights that make environmental planning and decision-making easier for everyone.

Research Questions

Research questions help guide our inquiry, ensuring we focus on the most impactful challenges and opportunities. They are essential for identifying gaps, refining methodologies, and driving meaningful improvements.

  • Can we make it easier to plan woodland carbon projects?
  • Can we determine a model for what makes a successful proposal, based on existing data?
  • Is there an opportunity to compare machine learning and deterministic models for woodland species selection?
  • Can we determine any risks for the projects being planned?
  • Can we augment the current manual processes for WCC using machine automation and data?

Data

For our beta release, we have harnessed data from a range of reputable public sources. Notably, we have reviewed datasets on approved and proposed Scottish woodland projects, which underpin our recommendation algorithm. Additionally, our carbon calculations are aligned with the Woodland Carbon Code methodology.

  • The Woodland Carbon Code - a UK standard that provides robust guidelines for calculating, certifying, and verifying the carbon sequestration achieved through woodland creation and management.
  • Ecological Site Classification (ESC) - a web-based decision support system to help forest managers and planners select tree species that are ecologically suited to particular sites, instead of selecting a species and trying to modify the site to suit.

Pricing

It's a free service. We think this info should be freely accessible to enable informed land use choices. If you want to help fund this research, or have commercial partnership opportunities, let us know.

Feedback and Collaborate

We have added many opportunities to feedback on this beta release - we really appreciate all feedback.

And if you want to collaborate or contribute to funding this project, please let us know.

Research is in conjunction with

The University of Edinburgh Logo