- Title
- Hierarchical benthic habitat classification in the Atlantic Ocean - Level 3
- License
- Attribution 4.0 International (CC BY 4.0)
-
+ This is a human-readable summary of (and not a substitute for) the license. Disclaimer.
+ You are free to:
+ Share — copy and redistribute the material in any medium or format
+ Adapt — remix, transform, and build upon the material
+ for any purpose, even commercially.
+ This license is acceptable for Free Cultural Works.
+ The licensor cannot revoke these freedoms as long as you follow the license terms.
+ Under the following terms:
+ Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+
+ No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+ Notices:
+ You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
+ No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
+ For more info see https://creativecommons.org/licenses/by/4.0/. - Abstract
Classification of the Atlantic Ocean seabed into broad-scale benthic habitats employing a 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. For ease of use, a layer is provided for each level. Level 1 has 4 classes. Level 2 has 15 classes nested within level 1. Layers indices are 2 digits (1[level1 class index]1[level 2 class index]). Level 3 has 157 classes nested within level 2 and class names have 4 digits (1digit[level1 class index]1[level 2 class index]2[level 3 class index]). Note that the classification was performed for the whole world and thus it has more classes than in the presented layer.
- Publication Date
- April 27, 2023, 9:36 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
No information provided
- Spatial Representation Type
- grid data is used to represent geographic data
Comments (0 total)
Log in to add a comment