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snippet:
summary:
accessInformation: National Centers for Coastal Ocean Science (NCCOS)
thumbnail:
maxScale: 0
typeKeywords: []
description: This feature class is the output of a presence-only predictive model used to predict how likely each 20 x 20 m grid cell is to contain hard bottom based on observed hard bottom data and environmental covariates such as bathymetry (and it's derivatives slope, slope of slope, and curvature). The model was run using MaxEnt and a binary threshold was instituted to call cells as having hard bottom or not based on a likelihood output from the model.
licenseInfo:
catalogPath:
title: St. Thomas/St. John Predicted Presence of Hard Bottom (20 m)
type:
url:
tags: []
culture: en-US
name:
guid:
minScale: 0
spatialReference: