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#pangeo — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #pangeo, aggregated by home.social.

  1. Justus made a great intro on using #DGGS through #xarray #xdggs at the #Pangeo showcase talk. Xdggs is now in a stage where you can use it fairly robustly with #HEALPIX and #H3. Other integrations like for #DGGRID are developed as separate plugins.

    youtube.com/watch?v=bAMGFKsxsj

  2. Justus made a great intro on using through at the showcase talk. Xdggs is now in a stage where you can use it fairly robustly with and . Other integrations like for are developed as separate plugins.

    youtube.com/watch?v=bAMGFKsxsj

  3. Justus made a great intro on using #DGGS through #xarray #xdggs at the #Pangeo showcase talk. Xdggs is now in a stage where you can use it fairly robustly with #HEALPIX and #H3. Other integrations like for #DGGRID are developed as separate plugins.

    youtube.com/watch?v=bAMGFKsxsj

  4. Justus made a great intro on using #DGGS through #xarray #xdggs at the #Pangeo showcase talk. Xdggs is now in a stage where you can use it fairly robustly with #HEALPIX and #H3. Other integrations like for #DGGRID are developed as separate plugins.

    youtube.com/watch?v=bAMGFKsxsj

  5. Justus made a great intro on using #DGGS through #xarray #xdggs at the #Pangeo showcase talk. Xdggs is now in a stage where you can use it fairly robustly with #HEALPIX and #H3. Other integrations like for #DGGRID are developed as separate plugins.

    youtube.com/watch?v=bAMGFKsxsj

  6. 🌍 Xarray + DGGS = XDGGS: Making Geospatial Data Easy 🌐

    The development of xdggs was initiated by the community and started at ’23 as part of the OSGeo code sprint. Special thanks to Stefanie Lumnitz for making it possible!

    If you are at FOSS4G Europe, don’t miss our presentation:

    XDGGS: A community-developed Xarray package to support planetary DGGS data cube computations.

    isprs-archives.copernicus.org/

  7. So #Microsoft is retiring the #PlanetaryComputer Hub, which allowed you to do quite advanced analyses using standard #Python packages. I guess we can run it elsewhere, and this was always on the cards, that's why using a standard #pangeo setup was good, but as with all things cloud, it's infuriating!!!

  8. Going back to more #dataAnalysis stuff - who wants to learn to use #XArray and #Pangeo? Apparently this was left over from the #CMIP6ArcticBootcamp (see birdsite for more on that #) but I shared it with student the other day and this really is a nice introduction to the tools..
    6/
    medium.com/pangeo/easy-ipcc-pa

  9. @HydroLejo Keen to chat about #Pangeo and #dask. I'm into #RemoteSensing and #EO, but keen to meet other dasker-taskers '-)

  10. @edzer at the department we try to build infrastructure which is easy to deploy across scales.

    What I find in lots of my work is that you want to leverage the frameworks on smaller problems as well (or those that are large in size, not in compute for ).

    This means that it should work locally (small scale), as well as it would remotely (big services). + (interfacing) + ? will go a long way I think. Maybe someone as already setup a countainer?

  11. I wonder what the place of the and the is in . I feel much tooling is gravitating toward big cloud platforms, which at times can mean vendor lock in (especially when considering geospatial platforms such as or similar). Although there are efficiency gains due to economies of scale, is there space for small modular geospatial platforms, and what would this look like? comes near, but not quite I feel. @edzer