This PR adds generation of data series with both lower and upper uncertainty values for the coverages endpoint.
It adds a couple of self-referential relationships in the table that contains the coverage configurations and also the respective admin UI fields for them, as shown below:
This allows specifying the uncertainty datasets as additional coverages and then linking them with the correct main coverage.
The functions that calculate the respective time series are slightly refactored in order to provide clearer naming.
Here is a screenshot of a plot showing the sample uncertainty data provided by the client:
The steps for generating the above image are also included in this PR in a jupyter notebook.
This PR adds generation of data series with both lower and upper uncertainty values for the coverages endpoint.
It adds a couple of self-referential relationships in the table that contains the coverage configurations and also the respective admin UI fields for them, as shown below:
This allows specifying the uncertainty datasets as additional coverages and then linking them with the correct main coverage.
The functions that calculate the respective time series are slightly refactored in order to provide clearer naming.
Here is a screenshot of a plot showing the sample uncertainty data provided by the client:
The steps for generating the above image are also included in this PR in a jupyter notebook.