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Solution postprocessing #30
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That is a great idea. We can start broadening our view of a SimulationSolution as defined in I think the code should live in What is still unclear to me is the output format of these functions. What would be useful from a user's perspective? Let's say we take the mean of a solution, what is the format of the output? Should we return a dictionary mapping properties to mean maps? Something like the output of the If you can sketch an initial implementation of the |
Actually, you could start adding the functions to the existing file |
This is being tracked in juliohm/GeoStatsDevTools.jl#2 |
Fixed on master, thanks @riyadm. |
Hi!
I was thinking it'd be useful to have a set of simple methods for solution postprocessing, e.g.
mean(solution)
var(solution)
quantile(solution, p)
Some of the other possibilities: mean above/below a threshold, probability (frequency) above/below a threshold.
These are simple, yet provide a nice and quick way of looking at a summary statistic of a solution. Some of these methods may be extended from Statistics module.
Would also be great to hear feedback from users on which methods would be useful. Thanks!
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