Makie comes from the japanese word Maki-e, which is a technique to sprinkle lacquer with gold and silver powder. Data is the gold and silver of our age, so let's spread it out beautifully on the screen!
I'd never expected that it would be actually easy to programmatically generate a vector-plot like this: combining #typst / #latex with actual data plotting
@makie #visualization #julialang
Edit: I had a small mistake in coloring
Edit2: pluto-gist for simplified plot: https://gist.github.com/behinger/f279ade01879de3dd0e48dddda6d505e - see response for more details
Happy to be presenting Bonito.jl tomorrow at #JuliaCon24 :)
I'll explain what Bonito is about and show off some interactive Apps written in Bonito.
We're talking about Makie today at #JuliaCon2024. The talk will be about everything that has happened in the last year and share some exciting developments we plan for the next years!
New Unfold animations!
Made with #Makie in #Julia and #Unfold.jl
They show simulated #EEG / ERP data of overlapping events (e.g. eye movements) and linear/non-linear modelling of continuous ERP effects (e.g. stimulus-contrast, saccade amplitude etc.)
thanks a ton to the awesome Makie-Team making such animations super easy :)
We’re happy to announce a new major Makie version with many long awaited features and bug fixes. Please read all the details and how to upgrade in the blogpost:
https://blog.makie.org/blogposts/v0.21
Sneak peek at my #JuliaLang wrapper for #FEBio, an advanced #FiniteElement solver for #ComputationalMechanics and #Biomechanics
More on FEBio here:
https://febio.org/
https://github.com/febiosoftware/FEBio
Motivated by the recent extreme snowfall in München. Here, the global patterns of snowfall. Data from @copernicusecmwf Code: https://github.com/lazarusA/LittlePieces @makie #julialang #datavis #datavisualization #snow #extremeweather #extremeevents
Last little piece of the year 🎉 . In this one there is a question, what happened to the ozone hole? Did it just go away? Short ansawer, not yet. But, it's not getting worse and this is thanks to the world 🌍 coming together to solve the problem, proving that is possible to take action and repair human made impact in our world. Some positive news for a change 🕊 .
Code: https://github.com/lazarusA/LittlePieces
@makie @julialanguage #datavisualization #climatechange #forecasting
Today’s little piece is on how to do some basic cube #plotting. For this, I use some samples from @ClaireRobin et. al. work on how to #forecast #vegetation #greenness at fine resolution over Africa. DeepCube H2020 #visualization @makie Code: https://github.com/lazarusA/LittlePieces
Since I became aware of the warming stripes, I've wanted to explore the data and see how bad it is. And it's worse than I thought; the differences at local scales are greater than that deceiving global 2-degree increase. Some regions exceed 7 degrees 😱. See all those black bumps and sinks? Yeah, there! #climatechange #extremeevents #extremeweather #showyourstripes #visualization #climatecrisis #climateemergency #climateaction
Day 27: Dots of the #30DayMapChallenge
As you liked the plot of the radiosonde ascents with data by @DeutscherWetterdienst a lot (https://mastodon.social/@tabmap/111431368370022432). I thought, I'll give you another look at it from the top. So here it is, all radiosonde ascents in this year. Color visualizes the amount of data points.
Did with @makie and #julialang.
Day 24: Black & White of the #30DayMapChallenge
Today with snow data of the @DeutscherWetterdienst. In the map you can see the triangulated station data and where you could expect white christmas ;)
Did with @makie and #julialang .
Code is available at https://github.com/TabeaW/30daymapchallenge_2023
🚀Finally the Makie v0.20 release
A year in the works, it's here with:
* High-DPI support
* Faster compile times and plotting
* New experimental declarative API
* multi-light rendering
Find all details at: blog.makie.org/blogposts/v0.20
Thanks to all contributors & sponsors!🎉
Day 1 of #30DayMapChallenge: Points
I will try to use open data from @DeutscherWetterdienst only. Today in focus: The climatological mean maximum air temperature of stations all over the world.
Did with @makie
Day 2: Lines of #30DayMapChallenge Today the map is about the route of Polarstern in 2010-2018 and the sea surface temperatures on its way. Again did with data from @DeutscherWetterdienst and with #julialang @makie
Code will be available at https://github.com/TabeaW/30daymapchallenge_2023.
Day 4: A bad map of #30DayMapChallenge Today a bit of modern art, the bad-weather days in construction of @DeutscherWetterdienst. The map contains station data (position marked with smileys) with a voronoiplot on top of them. With a rainbow colormap, please don't use that one ;)
Did with #julialang and @makie
Code will be available at https://github.com/TabeaW/30daymapchallenge_2023.
Today is day 6: Asia of the #30DayMapChallenge.
I have chosen the full-data monthly product of the GPCC 2.5° for 2011-2022 (version 2022) of the @DeutscherWetterdienst with easier words, precipitation based on station values. Did again with @makie and #julialang.
Makie v0.19.12 just got released!
Just before the big 0.20 release, we decided to make one last non breaking release!
You can read about all the important changes between 0.19.9 - 0.19.12 here:
https://blog.makie.org/blogposts/v0.19.9-12
Stay tuned for the 0.20 release coming out in the coming days!
Makie 0.19.8 just got released :)
- Improved CairoMakie rendering of `lines` with repeating colors in an array
- Added `strokecolormap` to poly.
- Added `xreversed`, `yreversed` and `zreversed` attributes to `Axis3`
- Fixed incorrect placement of contourlabels with transform functions
- Fixed automatic normal generation for meshes with shading and no normals
And lots of other bug fixes:
https://github.com/MakieOrg/Makie.jl/releases/tag/v0.19.8
