EUSeaMap (2023) Broad-Scale Predictive Habitat Map - Confidence in classification of energy levels
Confidence in the classification of energy level in the EUSeaMap (2023) broad-scale predictive habitat map.
Values are on a range from 1 (Low confidence), 2 (Moderate confidence), 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 2023 version of EUSeaMap and reports on previous versions (v2019 and V2021) are linked in Online Resources.
Created by the EMODnet Seabed Habitats project consortium.
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Alternate title | EUSeaMap23_energy_conf |
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Date | 2023-10-06 |
Date type | Creation: Date identifies when the resource was brought into existence |
Unique resource identifier | 55ab5110-c23d-4b1e-85e4-3a33cfa50937 |
Point of contact
Organisation name | Ifremer |
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Electronic mail address | emodnetseabedhabitats@ifremer.fr |
Role | Owner: Party that owns the resource |
Descriptive keywords
GEMET - INSPIRE themes, version 1.0 | |
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GEMET - Concepts, version 4.1.3 |
habitat
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biotope
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Spatial representation type | Vector: Vector data is used to represent geographic data |
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Spatial resolution
Denominator | 250000 |
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Language | English |
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Reference System Information
Unique resource identifier | http://www.opengis.net/def/crs/EPSG/0/3857 |
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Hierarchy level | Dataset: Information applies to the dataset |
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Lineage
Statement | These reports detail the methods used in the previous versions of EUSeaMap (v2019 and V2021)- a new report is in progress. Vasquez M., Manca E., Inghilesi R., Martin, S., Agnesi S., Al Hamdani Z., Annunziatellis A., Bekkby T., Pesch R., Askew A., Bentes L., Castle L., Doncheva V., Drakopoulou V., Gon├ºalves J., Laamanen L., Lillis H., Loukaidi V., McGrath F., Mo G., Monteiro P., Muresan M., O'Keeffe E., Populus J., Pinder J., Ridgeway A., Sakellariou D., Simboura M., Teaca A., Tempera, F., Todorova V., Tunesi L. and Virtanen E. EUSeaMap 2019, A European broad-scale seabed habitat map, Technical Report, 2019. Available from: https://archimer.ifremer.fr/doc/00636/74782/ Vasquez Mickael, Allen Harriet, Manca Eleonora, Castle Lewis, Lillis Helen, Agnesi Sabrina, Al Hamdani Zyad, Annunziatellis Aldo, Askew Natalie, Bekkby Trine, Bentes Luis, Doncheva Valentina, Drakopoulou Vivi, Duncan Graeme, Gonçalves Jorge, Inghilesi Roberto, Laamanen Leena, Loukaidi Valia, Martin Simon, McGrath Fergal, Mo Giulia, Monteiro Pedro, Muresan Mihaela, Nikilova Christina, O'Keeffe Eimear, Pesch Roland, Pinder Jordan, Populus Jacques, Ridgeway Amy, Sakellariou Dimitris, Teaca Adrian, Tempera Fernando, Todorova Valentina, Tunesi Leonardo, Virtanen Elina (2021). EUSeaMap 2021. A European broad-scale seabed habitat map. D1.13 EASME/EMFF/2018/1.3.1.8/Lot2/SI2.810241– EMODnet Thematic Lot n° 2 – Seabed Habitats EUSeaMap 2021 - Technical Report. https://doi.org/10.13155/83528 |
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Distribution format | ESRI Shapefile (Version: 1.0) GML (Version: 3.2.1) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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File identifier | 55ab5110-c23d-4b1e-85e4-3a33cfa50937 | ||||||
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Metadata language | English | ||||||
Character set | UTF8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 | ||||||
Parent identifier | EUSeaMap 2023 Broad-Scale Predictive Habitat Map for Europe | ||||||
Hierarchy level | Dataset: Information applies to the dataset | ||||||
Date stamp | 2024-02-15T15:34:59.733Z | ||||||
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