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I'm developing a package which we internally use / plan to use for aggregating trajectories into hexagonal grids: https://github.com/willirath/hextraj
The package is under heavy development (or at least, I'm hoping to work on it a lot over the next few weeks :) ) and currently mostly provides an easy way to label trajectories based on a regional hexagonal grid or arbitrary hex size. The labelled dataset then allows for using xarray's groupby or similar for aggregation.
Sounds interesting. Here the idea is to add examples of Lagrangian diagnostics using the same toy dataset (see the Simulations folder). If you want to create example with this method you mention, we would be glad to have a look at this method :)
I'm developing a package which we internally use / plan to use for aggregating trajectories into hexagonal grids: https://github.com/willirath/hextraj
The package is under heavy development (or at least, I'm hoping to work on it a lot over the next few weeks :) ) and currently mostly provides an easy way to label trajectories based on a regional hexagonal grid or arbitrary hex size. The labelled dataset then allows for using xarray's groupby or similar for aggregation.
There's a a tutorial notebook which shows most applications which are currently possible: https://nbviewer.org/github/willirath/hextraj/blob/main/notebooks/hextraj_tutorial.ipynb
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