• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2004-01-01T00:00:00.000+00:00

The Waianae Ecological Characterization is a digital synthesis of historical and current physical, ecological, and cultural information about the Waianae moku, which is located on the leeward...

• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Porites compressa in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Montipora capitata in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Montipora patula in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Pocillopora meandrina in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Montipora flabellata in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Porites lobata in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software using...

• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the total benthic cover of six coral species (Montipora capitata, Montipora flabellata, Montipora patulla, Porites lobata, Porites compressa, Porites meandrina) in...

• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2015-02-01T00:00:00.000+00:00

This geographic zone map was created by interpreting satellite and aerial imagery, seafloor topography (bathymetry model), and the new NEPR Benthic Habitat Map (2015). The area of interest...

• none