PAC/NCCOS_Final_Suitability_Oregon

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Service 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.

Map Name: ENV_SM_FINAL_SUITABILITY_OREGON_2023_NCCOS

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NCCOS Final Suitability Oregon 2023 (0)

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.

Service Item Id: b55471845e404d209c2eb1246e3f0e7e

Copyright Text: NOAA, NCCOS, BOEM

Spatial Reference: 26910 (26910)

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PAC/NCCOS_Final_Suitability_Oregon_2023 (MapServer)