The California Offshore Wind Energy Modeling Platform provides an interface where stakeholders and decision-makers can interact with, examine, and explore these models and their data sources, in order to help support decision-making processes. For more information, click on the Learn About the Models tab, or click on the Explore the Models tab to dive right in.
The fuzzy (truth) values for each proposition get combined up the tree using various fuzzy-logic operators (e.g., OR, AND, UNION) in order to calculate the fuzzy value for the node directly above. In
the example model diagram shown above, we are taking the average (UNION) of "High Annual Wind Energy Potential" and "High Monthly Wind Energy Potential" to determine whether or not there is a "High Wind Energy Potential".
The numerical values in the boxes represent what the fuzzy values might be at a hypothetical location.
For more information on EEMS and fuzzy-logic, visit the EEMS website and/or download the EEMS user manual.
The nodes at the very bottom of the tree (the dark gray boxes) represent the original input data.
When building a model, all of the input data, regardless of type (ordinal, nominal, or continuous), are first converted into fuzzy values between -1 (false) and +1 (true).
This is typically done by setting a True Threshold (a value that indicates when a proposition becomes totally true) and a False Threshold (a value that indicates when a proposition becomes totally false).
Input values between these two thresholds receive a decimal value between -1 and +1 based on a linear interpolation.
Once all of the input data has been converted into "fuzzy space", the resulting nodes are combined up the tree using fuzzy logic operators (e.g., AND, OR, UNION).
The operator used to combine a set of input nodes appears at the bottom of the output node.
It is also important to understand the limitations of these models, in part dictated by data availability. The models do not provide a sensitivity or vulnerability evaluation and should not be used to identify or assess project-level impacts, including NEPA or CEQA analyses. Additionally, datasets reflect currently understood geographic distribution of species occurrence and ocean use and do not take into account climate change and species shifting ranges. The focus of the project was on federal waters off California and should not be used to assess activities in state waters or areas beyond California.
The CSV file should be structured as follows:
There are a few requirements to be aware of:
That's it! Once you have a CSV that meets the requirements above, simply drag it into the map.