Oh awesome, thanks for sharing. Kieran Healy is always doing awesome work. Not shocked that he did this first!

Thanks for sharing!

Yeah and once you start adding known precinct covariate, the possibilities really explode. We ended up with several internal (quarto) dashboards to handle plotting everything on the fly

This looks great. You might also appreciate typr: cran.r-project.org/web/packages...

As a member of the (now disbanded) National Academy of Sciences working group on differential privacy I can report some liberals want it gone, too, as its application tends to hurt disadvantaged communities

Should also add thanks to @resulumit.bsky.social for opening issues and pull requests! Feedback is always helpful, especially in broad packages where I’m not using every single feature

Thanks. mapgl makes it much faster and removes some of the hacky components that were needed to get leaflet to avoid redrawing shapes. Appreciate your package!

The code to make the demo is simple, especially if you already use ALARM data:

library(redistio)
nm <- alarmdata::alarm_50state_map('NM')
draw(nm, init_plan = nm$cd_2020, palette = wacolors::wacolors$rainier,
layers = list(County = 'county'))

More info: christophertkenny.com/redistio/