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/6771#issuecomment-1190057727,https://api.github.com/repos/pydata/xarray/issues/6771,1190057727,IC_kwDOAMm_X85G7tb_,703554,2022-07-20T09:40:41Z,2022-07-20T09:41:07Z,CONTRIBUTOR,"Hi @dcherian,

> We are currently reworking https://tutorial.xarray.dev/intro.html and would love to either add your material or link to it if you're creating a consolidated collection of genetics-related material. xref (#3564). We don't have a ""domain-specific"" section yet but are planning to create one after SciPy.

FWIW we've created a short tutorial on xarray which is meant as a gentle intro to folks coming from the malaria genetics field. We illustrate xarray first using outputs from a geostatistical model of how insecticide-treated bednets are used in Africa. We then give a couple of brief examples of how we use xarray for genomic data. There's video walkthroughs in French and English:

https://anopheles-genomic-surveillance.github.io/workshop-5/module-1-xarray.html

Please feel free to link to this in the xarray tutorial site if you'd like to :)","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,1300534066
https://github.com/pydata/xarray/issues/6771#issuecomment-1190052947,https://api.github.com/repos/pydata/xarray/issues/6771,1190052947,IC_kwDOAMm_X85G7sRT,703554,2022-07-20T09:36:10Z,2022-07-20T09:36:10Z,CONTRIBUTOR,"Hi @TomNicholas,

> > I would've thought that latitude and longitude would be 1-dimensional coordinate variables, yet they are drawn as 2-D arrays?
> 
> I think that if you assume that the axes of your grid data align with the cardinal directions (East-West / North-South) then you would expect latitude and longitude to be 1D, but if they don't align then the coordinates would need be 2D (i.e. if x and y are merely arbitrary lines along the Earth's surface).
> 
> I agree with you though that 2D lat/lon grids are unnecessarily confusing, especially for non-geoscience users.

Interesting, I hadn't considered that. Definitely a bit mind-bending though for us non-geoscientists :)

> I like the second diagram you showed more (it's also a neater version of the labelled one I made [here](https://github.com/pydata/xarray/pull/6076)). I think it's debatable whether `elevation` and `land_cover` constitute coordinates or data variables, but I have no strong opinion on that.
> 
> As for improvements, I think it would be clearer to at least use the second image over the first, and perhaps we could improve it further.

SGTM. FWIW on the second diagram I would use ""dimensions"" instead of ""indexes"". Getting dimensions first then helps to explain how you can use a coordinate variable to index a dimension.
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1300534066