- Title
- Non-Hierarchical habitat classification in the Atlantic Ocean
- License
- Attribution 4.0 International (CC BY 4.0)
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+ For more info see https://creativecommons.org/licenses/by/4.0/. - Abstract
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 the reference.
- Publication Date
- April 27, 2023, 10:27 a.m.
- Type
- Raster Data
- Keywords
- Category
- Biota
- Flora and/or fauna in natural environment. Examples: wildlife, vegetation, biological sciences, ecology, wilderness, sealife, wetlands, habitat.
- Regions
- Global
- Responsible
- NPiechaud-355
- Language
- English
- Temporal Extent
- Jan. 1, 2016, midnight - Jan. 1, 2016, midnight
- Data Quality
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
- Supplemental Information
- Spatial Representation Type
- grid data is used to represent geographic data
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