Mathias Hauser

Not sure if necessary - maybe do #356 first to see the differences.

function to compare natural earth versions

1

Natural earth data is more active (which is good) but this raises the question if there are differences between the versions that are relevant for regionmask? I should write a...

add `flag_values` and `flag_meanings` to 2D masks?

5

This would allow to indicate which region corresponds to which number via `attrs` and would work nicely with `cf_xarray`. ```python import cf_xarray import xarray as xr da = xr.DataArray( [[1,...

https://docs.python.org/3/library/importlib.metadata.html Easier after #329 (no new dependency).

Mostly for shapely to see what v2.0 will bring. Maybe just manually for the moment.

fractional overlap

10

for regular grids: https://gist.github.com/perrygeo/721040f8545272832a42#file-pctcover-png

use geopandas dataframe as data-container?

1

No idea if this would work. However, we currently emulate a dataframe-like datastructure (`Regions`). Maybe we could draw from `geopandas`?

add comparison with other packages

4

- [clisops](https://clisops.readthedocs.io/en/latest/) - [geocube](https://github.com/corteva/geocube)? - [geopandas](https://github.com/geopandas/geopandas) - [python-rasterstats](https://github.com/perrygeo/python-rasterstats): DONE - [rioxarray](https://github.com/corteva/rioxarray) - [xagg](https://github.com/ks905383/xagg) - [xesmf](https://pangeo-xesmf.readthedocs.io/en/latest/notebooks/Spatial_Averaging.html) ## honorary mentions - [exactextract](https://github.com/isciences/exactextract): exact (taking into account partial cell overlaps) and fast but...

warn on overlapping regions?

4

There are several ways to do this. My suggestions is to go via the area: ```python total_area = sum(p.area() for p in polygons) flattened_area = shapely.ops.unary_union(polygons).area overlap = (total_area -...

Deprecate `Regions.coords`? I don't think it's needed anywhere anymore?