Evaluating model performance for spatial assessments of wildfire ignition risk. Contribution to Deliverable 2.5a for the Project D5-2 Climate Change Impacts on Natural Capital. The James Hutton Institute, Aberdeen, Scotland.

Key Points

• This work aims to evaluate the performance of a machine learning model for assessing wildfire ignition risk using independent validation.
• Used an independent validation approach to assess model performance.
• Conducted spatial assessments of wildfire ignition risk using machine learning techniques.
• The model effectively identifies regions at higher risk for wildfire ignition.
• Findings suggest improved accuracy and reliability in wildfire risk assessments.