html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/2288#issuecomment-1279429113,https://api.github.com/repos/pydata/xarray/issues/2288,1279429113,IC_kwDOAMm_X85MQon5,2448579,2022-10-14T20:27:26Z,2022-10-14T20:27:26Z,MEMBER,I've proposed adding CRSIndex to rioxarray to experiment with propagating CRS info in existing workflows: https://github.com/corteva/rioxarray/issues/588,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,341331807
https://github.com/pydata/xarray/issues/2288#issuecomment-1211392529,https://api.github.com/repos/pydata/xarray/issues/2288,1211392529,IC_kwDOAMm_X85INGIR,2448579,2022-08-10T23:19:48Z,2022-08-10T23:19:48Z,MEMBER,"> could be moved into some PandasMetaIndex helper class that would encapsulate one or more PandasIndex

Agreed.

> reuse the CRS-related logic with other kinds of index structures (like kd-trees). I've been thinking a bit about the general issue of flexible geospatial xarray indexes but I'm not sure yet how best it could be solved.

Yeah I don't think the PandasMetaIndex is a good pathway for CRSIndex, since we'd want other underlying tree-like structures.

> be supported with https://github.com/pydata/xarray/pull/6800

Hadn't seen that. That would be great!

>  the variables argument of Index.create_variables should be optional or not. 

I actually didn't understand what I was supposed to do with `variables` :) . It would be nice to document in `PandasIndex`

> There's some discussion in https://github.com/pydata/xarray/issues/4366 about adding a new .drop_indexes() (or drop_xindexes()?) method.

My takeaway was that on the API side, we should prioritize adding `set_xindex` and `drop_indexes`. These are critical for experiments.

Re: reduction to scalar, I agree it seems tricky.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,341331807
https://github.com/pydata/xarray/issues/2288#issuecomment-1205793138,https://api.github.com/repos/pydata/xarray/issues/2288,1205793138,IC_kwDOAMm_X85H3vFy,2448579,2022-08-04T21:35:50Z,2022-08-04T21:35:50Z,MEMBER,"Here is an alpha version of a CRSIndex heavily drawing on @benbovy's RasterIndex
https://github.com/dcherian/crsindex/blob/main/crsindex.ipynb

As a non-expert, I very arbitrarily chose to propagate CRS info using a `spatial_ref` scalar variable. When assigned to a dataset we get
<img width=""752"" alt=""image"" src=""https://user-images.githubusercontent.com/2448579/182956628-7c98777a-0926-4d2d-870a-cf838627d3da.png"">

so `spatial_ref` is bolded but is not a dimension, and is associated with an index.","{""total_count"": 5, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 5, ""eyes"": 0}",,341331807