Non-Hierarchical habitat classification in the Atlantic Ocean
Classification of the seabed in the Atlantic Ocean into broad-scale benthic habitats employing a non-hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. The numbers in the raster layer correspond to individual classes. Description of these classes is given in McQuaid, K.A. et al. (2023).
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Date | 2023-03-23 |
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Date type | Creation: Date identifies when the resource was brought into existence |
Unique resource identifier |
Credit | University of Plymouth (England) |
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Point of contact
Individual name | Kirsty Mcquaid |
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Organisation name | University of Plymouth |
Role | Originator: Party who created the resource |
Point of contact
Individual name | Kerry Howell |
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Organisation name | University of Plymouth |
Electronic mail address | kerry.howell@plymouth.ac.uk |
Role | Originator: Party who created the resource |
Descriptive keywords
GEMET - INSPIRE themes, version 1.0 | |
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Spatial scope | Regional |
INSPIRE priority dataset | Habitat types and species distribution and range (Habitats Directive) |
Mission Atlantic - BODC Parameters |
/Cross-discipline
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/Biological oceanography
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Mission Atlantic - Case Studies |
Atlantic Ocean
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Canary Current system
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Celtic Seas
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North Mid-Atlantic Ridge
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Norwegian Sea
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South Brazilian Shelf
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Southern Benguela
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South Mid-Atlantic Ridge
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Mission Atlantic - Data type (DMP) |
Modelling data
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Spatial data products
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Environmental data
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Mission Atlantic - Resources |
Data
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MISSION ATLANTIC Results
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Mission Atlantic - Work Package | WP4 Benthic Mapping |
GDI-Vlaanderen Trefwoorden | Metadata GDI-Vl-conform |
Spatial representation type | Grid: Grid data is used to represent geographic data |
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Spatial resolution
Distance | 10 km^2 |
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Language | zxx: zxx |
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Topic category code |
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Reference System Information
Anchor | EPSG:4326 |
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Hierarchy level | Dataset: Information applies to the dataset |
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Lineage
Statement | Sources used for clustering indicated in reference: GEBCO: https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2020/ Bio-ORACLE v2: https://www.bio-oracle.org/ Yool (2022): https://doi.org/10.5281/zenodo.6513616 |
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File identifier | 0eaa525b-c636-4b4b-885c-daad782c6086 | ||||||
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Metadata language | English | ||||||
Character set | UTF8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 | ||||||
Hierarchy level | Dataset: Information applies to the dataset | ||||||
Date stamp | 2024-09-03T07:25:32.889Z | ||||||
Contact
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Overviews

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