Martijn Visser

@EvenRouault @condaforge @GdalOrg We recently switched over the julia builds as well. Surprisingly painless, and we could remove all patches! github.com/JuliaPackaging…

@justb4 @MicheleTobias Python is often good enough, though I like being able to use the same language for when it's not. For GDAL etc. bindings automation was key with limited maintainer time.

@KelMarkert @MicheleTobias Thanks! The ecosystem is still maturing, but key functionality and wrappers are there. What I like about it is that if you need custom processing, it's generally easy to implement and runs fast. I started using it for point cloud processing, but now also do hydrological modeling.

@MicheleTobias JuliaGeo is great for reading file formats and primitive geo processing. JuliaClimate also has a lot of useful geo packages @martijnvisr is a Julia + geo wizard and has a lot more experience than me. Maybe he can provide his perspective

There's a new implementation of GeoParquet in @JuliaLanguage! Check it out at github.com/JuliaGeo/GeoPa…

🔥OpenGeoHub Summer School 2022 -- 28 August 2022 – 03 September 2022🔥 A whole week of #opensource spatial data analysis using #rstats, #python, and #julialang! Register before May 28th -- opengeohub.org/summer-school/…. #rspatial #gischat

@map_andrew By default it looks for GDAL colour metadata. But for false colour you can first load the bands you want into arrays r, g, b. And then do AG.imview(RGB, r, g, b).

@martijnvisr Ah imread is very nice a huge improvement. If: AG.imread(dataset) plots me RGB is there a simple way to select which bands to plot in RGB? (to create false colour?)

I wote 3 blog posts on working basic raster work in early feb 2019 with #geospatial #JuliaLang, I've updated all this code for the latest version (1.7.0) this afternoon. github.com/acgeospatial/J… I'm not saying its best practice, but maybe it helps you. #eochat

@rabernat Interesting! I just found github.com/UXARRAY/uxarray, which links to Huite's xarray proposal from last year as inspiration. Huite has also been working on github.com/Deltares/xugrid in the meantime, though I don't think it's been widely announced yet.

Really excited about this talk. Working with unstructured mesh data in python is about to get a lot easier!

@fkratzert @EGU_HESS The challenge page shows 124 registrants, of which 53 submitted a solution. But it could be unrelated. Sometimes it just take a while for a paper to catch the attention.

@fkratzert @EGU_HESS Just a guess, but it seems to coincide with usbr.gov/research/chall…, and I can imagine this paper would be key to winning some money.

@DaniRabaiotti Yeah that's fair. It's definitely not as well documented and supported as R Spatial. If speed is an issue, it could be interesting, as you are free to roll your own loops without performance penalty. That's why I used it for point cloud processing for instance.

@martijnvisr Will think on it. Might be something to bear in mind for the future as the resources increase 🤔

Is using #JuliaLang for GIS a thing?

Posted a blog article comparing #Python and #julialang processing speeds for #hydrology modeling/calibration Spoiler: Julia blows Python out of the water 🌊 (pun intended) link.medium.com/lpTZNYRnu9

@GaelForget Yeah I think it is related to token-based authentication being on by default now, see jupyter-notebook.readthedocs.io/en/stable/secu…

As a #Python developer, I really applaud this effort to combat fragmentation. As a #JuliaLang developer, I'm so happy that due to the language design, there is no such fragmentation.

Gave a presentation today @JuliaConOrg on how we can do interop between @OSGeo GDAL/GEOS/PROJ wrappers with pure #JuliaLanguage #geospatial projects. Hope it will help in establishing a solid JuliaGeo ecosystem! youtu.be/wih_DIWODUs

@chrisalbon Jupyter is named after it, but it is neither Python nor R.

@fkratzert @HydroProcesses Oh wow. For what it's worth, I think it's a great piece. Used it as a conversation starter in discussion with a big group of hydrologists at @deltares this week.

Verifying myself: I am visr on Keybase.io. ZM9ZZwNezREOdlFspfALd-AJygchUkNN0iQv / keybase.io/visr/sigs/ZM9Z…

@henrifdrake @rabernat @JuliaLanguage I'd say most of the parts are there (Dagger.jl, Lazy.jl, NamedDims.jl, various IO packages), though so far nobody put them together in #JuliaLang quite as nicely as xarray.

A new blog post which describes 5 different ways to take advantage of the new @pangeo_data / @LamontEarth CMIP6 data archive in @googlecloud. medium.com/pangeo/cmip6-i…