UK shelf and North Sea quantitative sediment composition predictions
Summary
Spatial predictions of substrate composition for the UK shelf and North Sea. Compositional fractions of mud, sand and gravel were modelled for an area of the UK and North Sea using a statistical regression model.
This dataset consists of percentage composition predictions for the mud, sand and gravel components as raster tifs. In addition the proportion of each of these sediment components were combined to predict the likely sediment classification as both a EUNIS habitat class and Folk class. These are also available as raster tif files with an associated ArcGIS layer file indicating the appropriate class for each raster value.
A shape file of the Folk classification is also available.
Categories
Keywords
N/A
Use limitation statement
There are no public access constraints to this data. Use of this data is subject to the licence identified.
Licence
Open Government LicenceAttribution statement
See Cefas Data Portal for details – link to dataset below.
Technical information
Update frequency
notPlanned
Lineage
For a full description of the methodology used to generate these data see: `http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142502`_ In short, the analysis combined outputs from hydrodynamic models as well as optical remote sensing data from satellite platforms and bathymetric variables, which were mainly derived from acoustic remote sensing. A statistical regression model was built to make quantitative predictions of sediment composition (fractions of mud, sand and gravel) using the random forest algorithm. The compositional data was analysed on the additive log-ratio scale and then transformed back into percentages of the individual sediment components. From these percentage components a EUNIS substrate model was also generated. .. _`http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142502`: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142502
Spatial information
Coordinate reference system
N/A
Geographic extent
- Latitude from: 48 to 59.5
- Longitude from: -11 to 10
Metadata information
Language
English
Metadata identifier
21280363-a871-4623-8014-1aa30f79dc10
Published by
Centre for Environment, Fisheries & Aquaculture Science
Contact publisher
data.manager@cefas.gov.ukDataset reference dates
Creation date
01 April 2015
Revision date
17 May 2023
Publication date
31 January 2018
Period
- From: 01 April 2015
- To: 01 April 2015
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Data and Supporting Information
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