Some generative art playing with pastel shades 🎨

#Rtistry #RStats #GenerativeArt

Simple Vogel spiral animations (2/2)
Code: https://gist.github.com/paithiov909/b1c12083b64ccee1a84964588bc8cfeb#file-vogel-spiral-qmd
#rtistry #creativecoding #mathart

Simple Vogel spiral animations (1/2)
Code: https://gist.github.com/paithiov909/b1c12083b64ccee1a84964588bc8cfeb#file-vogel-spiral-qmd
#rtistry #creativecoding #mathart

🎨🌀😵‍💫
Code: https://gist.github.com/paithiov909/b1c12083b64ccee1a84964588bc8cfeb#file-spiral-dots-qmd
#rstats #rtistry #creativecoding

Magical trail in R (re-uploaded)
#rstats #rtistry #creativecoding

"Generative Metropolis"

Adapted from https://github.com/paulvanderlaken/generative-art

See also https://marcusvolz.com/#generative-city

Full R code in thread 👇

#rstats #generativeart #rtistry #doodle

Uploaded a short animation inspired by the "Magical trail shader" created by Jason Labbe using p5.js. Three animated scenes were generated in R and combined using a video editor.

My Mastodon instance has been a bit unstable lately, so the thumbnail might not show up properly. Please check it out on YouTube!
https://youtube.com/shorts/64mzzZbXgdc
#rtistry #creativecoding

Wrapped up the video I worked on over the weekend 🎥💜
Looks like a swarm of something dancing in violet fluid — what does it look like to you?
Used SkSL shaders for a custom VHS-style effect, plus noise-driven motion and bouncing logic in R. #rstats #rtistry #creativecoding

https://www.youtube.com/watch?v=CSHlUZxwuQk

yeah, i know the series is officially over and i already told the whole story in the blog post, but there are so many lovely pieces i never really talked about. i kind of love how this one is so minimalist compared to the others, like it's quick sketch of what the series might be #rstats #rtistry

```
library(tidyverse)
z = function(n) {
bb = function(i) {
x = y = 0
for (k in 0:(n - 1)) {
x = x + ((floor(i/2^(2 * k))) %% 2) * 2^k
y = y + ((floor(i/2^(2 * k + 1))) %% 2) * 2^k
}
c(x, y)
}
as.data.frame(t(sapply(0:(4^n - 1), bb)))
}
ggplot(z(6)) +
geom_path(aes(x=V1, y=V2, col=sin(V1/4)+cos(V2/4)), show.legend=F) +
scale_colour_gradient(low='orange', high='blue') +
theme_void()
```

https://en.wikipedia.org/wiki/Z-order_curve
#rstats #generativeart #tilingtuesday #rtistry #fractal

i've wrapped up the "slightly menacing hearts" generative art series. 200 pieces shared via CC-BY licence, with source code linked on the gallery page. 32 pieces were posted with meaningful titles: i might talk about those later, but the backstory is a little personal 🧡

#rstats #rtistry #genart

https://art.djnavarro.net/gallery/menacing-hearts/

Getting back into some generative art again with this rather spiky looking system 🎨

#Rtistry #GenerativeArt #RStats #GenArtClub #ggplot2

i can't help but notice that the aesthetic on this series has drifted over time. on the left is a piece generated with version 13 (seed 2261), and on the right is a piece generated from version 45 (seed 4406). shared structural components notwithstanding, the style is quite different

#rstats #rtistry #genart

the surprising intrusion of a large number of painful-looking spikes into a piece that is nominally something to do with the heart motif is... on point. thinking of calling it "grindr notifications"

#rstats #rtistry

set.seed(3670); set.seed(3674) # dream girl, evil

#rstats #rtistry

the brief illusion that this time it will be different

#rstats #rtistry #generativeart

Here are some of my generative pieces that I made a while ago. I spent a lot of time writing the code that would produce these images, they're very intentional, and they're nothing like what any "AI" image generator would spit out.

#rtistry #generativeArt #proceduralArt

#rstats #rtistry #generativeart

wants me to tell him something pretty

#rstats #rtistry

Life has been 'lifeing'. Everything is chaotic and I'm just patiently waiting for May for a vacation. In the meantime, I am slowly working on my artpack package. I'm creating convenience functions, group_sample() and group_slice() that will allow you to quickly sample/slice entire groups out of data frames. This is something I personally do a lot for my art. Being able to drop groups of data can lead to some cool visuals sometimes: #rtistry w/ #ggplot2 in #rstats.