EUSeaMap (2021) Broad-Scale Predictive Habitat Map - Confidence in classification of energy levels

Confidence in the classification of energy level in the EUSeaMap (2021) broad-scale predictive habitat map. Values are on a range from 1 (Low confidence) to 3 (High confidence). Energy level is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. Confidence in the classification of an energy level at any location is driven by both the confidence in the values of the input variables, and the confidence in the classification based on proximity to, and uncertainty in, the boundary between classes (i.e. areas closer to a boundary between two classes will have lower confidence). Layers are also available showing confidence in the values of the input variables used to model energy levels (kinetic energy at the seabed and wave exposure). A report on the methods used in the 2021 version of EUSeaMap (Vasquez et al., 2021) and reports on previous versions (v2016 and V2019) are linked in Online Resources. Created by the EMODnet Seabed Habitats project consortium.