With the holidays fast approaching, here's your annual reminder about the {secretsanta} package to help you set up your Secret Santa event!

The package performs giver/recipient randomization and sends e-mails to everyone with their assignment.

I wrote it for my family's annual Secret Santa pool (sorry, still no unit tests). Happy to help you get set up if you need -- just don't ask me about gmail authentication! 😅

Happy giving! 🎅 ⛄ ❄️ 🎄
https://github.com/ataustin/secretsanta
#rstats

The package {stats19}, which provides analysis-ready road traffic casualty data from the Department for Transport, has just hit 3.0.2. See https://docs.ropensci.org/stats19/ and install the latest version with
install.packages("stats19")
#rstats #geocompx #gischat #DataScience

Package release items, in order of importance:

100. Good documentation
99. Good test suite
98. Informative README
...
...
...
1. Generating the perfect hexlogo

(still a WIP--I'm playing with adding knurling and bolts!)

#RStats #raybevel #rayrender #rayverse

Made with Inkscape! Spending a few weeks to learn the intricacies of SVG parsing and writing my own SVG-to-polygon R package paid off.

#RStats #raybevel

#30DayMapChallenge 🗺️ | Day 5 | Analog

some wavy sine curves of the U.S.A., admittedly a rather liberal interpretation of analog

code: https://github.com/curatedmess/30DayMapChallenge/blob/main/2023/11052023/usa_waves.R

#rstats

In a desperate attempt not to work on my thesis, I implemented clipping for filled contours.

https://eliocamp.github.io/codigo-r/en/2023/11/kriging-metr-r/

Consider this my entry for days 1-3 for #30DayMapChallenge

#RStats

🌎 #30DAyMapChallenge 2023 #day2 - #Lines
NewYork data from USDA NRCS Geospatial Data Gateway. Made with {topo.ridges} packages
Tools: #R
#rstats #datascience #Datavisualization #maps #infographics

It's still Day 1 of #30DayMapChallenge here and I have this map so rather than having it sit on my disk, here it is: Lighthouses of the world.

#rayshader adventures, an #rstats tale

The Columbia River, two ways, which is typically because I can't decide which I like better.

#rayshader adventures, an #rstats tale

I am so, so excited to share that I've got a new #rstats package, {rsi}, on GitHub

{rsi} helps you:

- Download data from STAC APIs
- Compute indices from the Awesome Spectral Indices project
- Wrangle multiple rasters into predictor bricks without duplicating data

Get the package (and leave us a star!) at:
https://github.com/Permian-Global-Research/rsi

Blog post hitting the highlights at:
https://www.mm218.dev/posts/2023-10-26-rsi/

#rspatial