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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 Gulf of Maine region, different wind energy opportunities may exist under different objectives or at different scales than considered in this analysis.
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Map Name: ENV_SM_WIND_SUBMODEL_GOMAINE_2023_NCCOS
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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 Gulf of Maine region, different wind energy opportunities may exist under different objectives or at different scales than considered in this analysis.Full metadata record HERE
Service Item Id: 08ef2554ffd94715ab3307648e5d4a48
Copyright Text: NOAA, NCCOS, BOEM
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Title: NCCOS Wind Submodel Gulf of Maine 2023
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Keywords: offshore wind,NCCOS,National Centers for Coastal Ocean Science,wind logistics,suitability modeling,Oregon,call area,wind energy area,WEA,BOEM,Bureau of Ocean Energy Management
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