Description
This dataset represents sediment composition class predictions from a sediment spatial model developed for the New York offshore spatial planning area. The predictive spatial model of mean grain size was developed building upon the data compilation and analytical framework laid out by Goff et al. (2008) and Poppe et al. (2005).
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Citation URL | Unknown | Online Resource | Open resource |
| http://coastalscience.noaa.gov/projects/download.aspx?fpath=D%3a%5cWebsites%5cNCCOS%5cprojects-attachments%5c80%5cNY_assessment_data_package.zip | ZIP | Offline Data | Open resource |
| Global Change Master Directory (GCMD) Keywords | Unknown | The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. | Open resource |
| Full Metadata Record | Unknown | View the complete metadata record on InPort for more information about this dataset. | Open resource |
| NOAA Data Management Plan (DMP) | NOAA Data Management Plan for this record on InPort. | Open resource |
Tags
- bathymetry/topography
- doc/noaa/nos/nccos
- environment
- grain size
- long island
- long-term average determined by input data
- mid-atlantic
- national centers for coastal ocean science
- national ocean service
- new york
- new york bight
- new york offshore planing area
- noaa
- northwest atlantic ocean
- ny_spatialplan
- oceancommunity
- prediction
- seafloor
- sediment
- spatial planning
- uncertainty
- u.s. department of commerce