Layer: DSCS - Predicted Occurrence and Precision (ID: 100)

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Name: DSCS - Predicted Occurrence and Precision

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Description: This group of layers show the predicted occurrence and associated precision for 22 DSCS taxa in PMNM. Three modeling techniques, including Boosted Regression Trees (BRT), Generalized Additive Models (GAM) and Maximum Entropy (MaxEnt), were used to predict the spatial distribution of these 22 taxa. Non-parametric bootstrapping was used to calculate a mean probability of occurrence and estimate precision for each taxonomic group and modelling technique. The BRT, GAM and MaxEnt predictions were then integrated to produce single, ensemble mean predictions and precision surfaces. These ensemble predictions and precision surfaces were qualitatively reviewed by local deep-sea coral and sponge experts for completeness and accuracy. For more information see, https://coastalscience.noaa.gov/project/predicting-and-characterizing-deep-sea-coral-habitats-within-the-papahanaumokuakea-marine-national-monument/

Copyright Text: NOAA NCCOS: https://coastalscience.noaa.gov/project/predicting-and-characterizing-deep-sea-coral-habitats-within-the-papahanaumokuakea-marine-national-monument/

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