This dataset includes 1) environmental data layers, 2) Arctica islandica
point data, 3) Random Forest model objects and 4) model output raster layers,
used in the Ecological Solutions and Evidence paper 'Using big 'messy' data to
model species distributions for spatial conservation management' (ADD DOI WHEN
PUBLISHED). These data are provided at the scale of the UK Continental Shelf
(WGS 84; EPSG:4326). Source, preparation methodology, unit, resolution and
date ranges of individual datasets are detailed in the main paper and
supplementary materials.
**1. Environmental data layers **
- Environmental modelled and satellite-derived raster data layers (TIF)
ranging from 2016-2023.
- Study area mask (TIF)
2. Point data (Arctica islandica presence/absence)
- 5% prevalence point data for 6 x models (RData)
- Cross-validation training and testing point data for 6 x models (RData)
3. Random Forests
- Fitted model objects for 6 x models (RData)
4. Outputs
- Summed binary predictions for 6 x models (TIF)
- Environmental envelope masks for 6 x models (TIF)
