BRT kelp forest model Nordland, 2014
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Provided by International Council for the Exploration of the Sea
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Dataset information
Catalog
Country of origin
Updated
Created
2014.12.31
Available languages
English
Keywords
Marine habitat mapping
Datasource
Quality scoring
85
Dataset description
Region: Nordland county
Number of field observations: 4331
Field sampling years: 2011, 2012
Prevalence: 13%
Presence / absences: 503 / 3828
Method: BRT run in R with the R-package Dismo. (GAMs were also tested and gave similar distribution.)
Number of predictor variables: 9
Information about the predictor variables: curvature at coarse and medium detailed spatial resolution with a 1025 and 525 m moving calculating window respectively, based on a 25 m resolution DEM; DEM, slope, and wave exposure (all at 25 m resolution, the predictor variables are described in Rinde et al. 2006); mean salinity, mean current speed, maximum temperature and mean temperature, all with a 800 m resolution, but resampled to 25 m.
AUC internal: 0.99.
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