1. EMODNet Confidence

2. EMODNet Confidence Assessment Aims – To produce an easy, yet meaningful visual assessment of confidence for the EMODNet substrate map – Employ a simple, transferable methodology – Ability to integrate confidence maps from all partners into a single output

3. EMODnet Confidence v1 Data gap analysis – confidence level based on the amount/type of data available. A high density of data infers a greater confidence Numerical score. Low to high confidence 1-8 Created in ESRI ArcMap Grid format. Easy to combine all partners map outputs. Need Spatial Analyst extension Easy if you hold all samples/survey tracks in a digital format (ESRI). Issues for legacy mapping

4. EMODnet Confidence v1 Scoring System An unique grid is created for each of the following: – Sample Density. Point density function in Spatial Analyst used to assign a score – Geophysical Survey Tracks. Convert track line to grid and assign score based on equipment type – Multibeam. Convert extent to grid and assign a score. – Legacy data/Expert Interpretation Final confidence map = sum of all grids

6. Re-Iterative Process V1 V2 Final Version

7. JNCC – 3 step confidence assessment for habitat mapping Simplify MESH 15 classes into only 3 criteria. Remote sensing coverage, Amount of Sampling, Distinctness of Class boundaries.

10. What method to use EMODNet V1 – Data gap analysis JNCC – 3 step approach OR a combination of the 2 – to be developed.