NCCOS Final Suitability Oregon 2023
The geometric mean of the four submodels (i.e., industry and operations, natural resources, fisheries, and wind) was used to calculate an overall suitability score. The geometric mean was chosen because it grants equal importance to each variable and provides a non-biased weighting of each submodel as they interact with each other (Bovee 1986; Longdill et al. 2008; Silva et al. 2011; Muñoz-Mas et al. 2012). Furthermore, all data layers and submodels had equal weight within the suitability model. The resulting suitability score is reflective of the planning objective to identify Wind Energy Areas. In the Oregon region, different wind energy opportunities may exist under different objectives or at different scales than considered in this analysis.
Resources
7 resources available
-
CSV
CSV -
GeoJSON
GEOJSON -
KML
KML
KML -
Shapefile
ZIP -
WEB PAGE
ArcGIS Hub Dataset
WEB PAGE -
ISO-19139 metadata
TEXT/XML -
ARCGIS GEOSERVICES REST API
ArcGIS GeoService
ARCGIS GEOSERVICES REST API
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:06"
]
|
| contactPoint |
{
"fn": "BOEM_PAC",
"@type": "vcard:Contact",
"hasEmail": "mailto:geoseas@boem.gov"
}
|
| description | The geometric mean of the four submodels (i.e., industry and operations, natural resources, fisheries, and wind) was used to calculate an overall suitability score. The geometric mean was chosen because it grants equal importance to each variable and provides a non-biased weighting of each submodel as they interact with each other (Bovee 1986; Longdill et al. 2008; Silva et al. 2011; Muñoz-Mas et al. 2012). Furthermore, all data layers and submodels had equal weight within the suitability model. The resulting suitability score is reflective of the planning objective to identify Wind Energy Areas. In the Oregon region, different wind energy opportunities may exist under different objectives or at different scales than considered in this analysis. |
| distribution |
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},
{
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|
| identifier | https://www.arcgis.com/home/item.html?id=964f02ac76664ba39d6a1f7ff2ed4e92&sublayer=0 |
| issued | 2026-06-02T17:51:47Z |
| keyword |
[
"BOEM",
"Bureau of Ocean Energy Management",
"NCCOS",
"National Centers for Coastal Ocean Science",
"Oregon",
"WEA",
"call area",
"offshore wind",
"suitability modeling",
"wind energy area"
]
|
| landingPage | https://boem-metaport-boem.hub.arcgis.com/datasets/BOEM::nccos-final-suitability-oregon-2023 |
| modified | 2026-06-02T17:51:51Z |
| programCode |
[
"010:000"
]
|
| publisher |
{
"name": "Bureau of Ocean Energy Management",
"@type": "org:Organization"
}
|
| spatial | -125.1015,41.9710,-124.4346,43.9609 |
| theme |
[
"geospatial"
]
|
| title | NCCOS Final Suitability Oregon 2023 |
