UK Shelf and North Sea Sediment Composition Predictions with Habitat Classes

Spatial predictions of substrate composition for the UK shelf and North Sea. Compositional fractions of mud, sand, and gravel were modelled using a statistical regression model. The dataset includes raster files predicting percentage compositions and likely sediment classifications as EUNIS habitat and Folk classes.

Use Cases

• Modeling seabed habitat distribution based on predicted EUNIS classes.
• Analyzing sediment transport patterns based on mud, sand, and gravel fraction predictions.
• Classifying marine substrates for ecological studies using the provided Folk classification.

Strengths

• Provides predictions for three distinct sediment components: mud, sand, and gravel.
• Includes two established classification schemes: EUNIS habitat classes and Folk classes.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Government Digital Service

Collection Method

Statistical regression model applied to spatial data.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

UK shelf and North Sea