#rayrender — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #rayrender, aggregated by home.social.
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ggplot(ritual) +
geom_sf() +theme_c̵̤͛̌̎̀͘t̶̡̨̯̝̼͗̂͒͊̀̾̇̾͜h̸̡̰͉̼̖͉̉u̶̡̗̮̜͍̠̯̙̍l̸̞̲̓̒̒̓̓̃̔h̶̛̖̣̲̩̖͉̠͍̬̄̔̊̽͜u̸̱͛̈̽̀̅() +
coord_noneuclidean()
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Get in, kids! An ADSB storm is coming!
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Millions and millions of points...
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3/5 We can use this information along with solar positioning via {swephR} to generate a beautifully rendered realistic atmosphere in our #rayrender and #rayshader plots! Rayshader's `render_highquality()` now optionally takes lat/long + datetime inputs, so you don't even need to learn anything new!
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Happy Groundhog Day! In honor of the day, here's an infinitely repeating video of a realistic atmospheric simulation showing the shadows the sun casts on February 2nd. (over Monterey Bay, California, because no one would want to go to Punxsutawney, PA right now).
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An "atmospheric" frame from an animation demonstrating the "Mahattanhenge" phenomenon in my upcoming blog post about rendering realistic atmospheres in R.
What's fun about rendering a long animation overnight is it makes each morning a miniature Christmas: you never know what you're going to unwrap! Sometimes it's wonderful, and sometimes you forget to increment the counter so you end up rendering the same frame over and over again 😉
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Rendering the peak of Mount Everest from sunrise to sunset in R with rayshader and rayrender
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Testing the accuracy of simulating star trails with R and libopenexr, rendered in a pathtracer: lookin' pretty good so far! Differences seem to be primarily from real camera lens distortion from the wide angle lens versus a perspective camera.
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Procedurally rendered location/time-accurate star trails + simulated twilight atmosphere, now with star spectral → RGB color information included! It's subtle (even exaggerated here slightly), but there. All rendered in #RStats with #rayrender
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🤯 Rendering realistic sunsets in R
🤯 🤯 Rendering realistic sunsets in R, with accurate stars for a given latitude/long
🤯 🤯 🤯 Rendering realistic sunsets in R, with accurate stars for a given lat/long AND time/exposure, giving you beautiful star trails!your move, SAS
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Nothing is better than relaxing on a hot summer Friday night, sipping a cold drink, and enjoying a beautiful sunset accurately rendered (as if seen from a jet airliners cruising altitude while on a red eye) in your favorite statistical programming language 🥂
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Twilight support!
One of my favorite things is finding a methods paper (here, atmospheric rendering), implementing it, thinking to myself "Man, it would be nice if the method supported XYZ!", and then finding that the paper implementing XYZ was released fairly recently. Truly surfing the crest of human knowledge!
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After setting up the required infrastructure on CRAN with several packages providing static libraries, I finally have some new #rayverse features on the way! Shown here: dynamic sky generation for a given lat/long and time of day, based on the Hosek-Wilkie radiance model.
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1/3 ‼️Package update alert‼️Need a doomscrolling break? How about a dramatically faster version of #rayrender to clear your mind! Developed using the nice C/C++ features of the new @Posit Positron IDE, rayrender is more than 40% faster than before! Less heat, less time, faster 3D data viz!
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‼️ New package updates, blog post, and data visualization! Learn about subdivision surfaces and displacement mapping and how they can be used to visualize data on curved surfaces using the rayverse and R. Learn how to map data to a sphere so you can properly visualize areas both as the equator as well as near the poles.
Blog:
https://www.tylermw.com/posts/rayverse/displacement-mapping.html#RStats #rayverse #rayrender #rayvertex #DataScience #Dataviz
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It’s fun how implementing displacement mapping was 99% implementing subdivision surfaces, and 1% implementing actual displacement mapping. It’s a feature like the person that does none of the work in the group project but presents it to the class: all the glory and none of the slog.
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My 30 entries for #30DayMapChallenge 2023. Managed to do all save one (Day 5) with #rayshader, #rayrender, or #rayvertex in #rstats. Made possible by @tylermorganwall, who's created a marvellous world of light and shadow accessible with a language that's "only for stats".
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Before and after the #rayverse magic 😉
Created with #inkscape and imported into #RStats with the upcoming #raysvg package, and transformed into 3D with #RStats + #rayrender + #rayvertex + the upcoming #raybevel package
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Here are three takes on John Snow's iconic visualisation of cholera in 1854 London, all done in the #rayverse. Which one do you prefer—illuminated globes (left), lines (top right), or cel-shaded globes (bottom right)? I can't decide.
#rayshader-#rayvertex-#rayrender adventures, an #rstats tale
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In the spirit of all things "Wrigley" with #PositConf2023 in Chicago this year, here's Illinois rendered as a piece of gum in #RStats with #rayrender (and my new in-development package for turning polygons into 3D meshes, #rayskeleton). Data from spData and transformed with the {sf} package and turned into a raymesh object (3D mesh structure provided by the #rayvertex package).