Source code and more info here: https://github.com/votermap/votermap.github.io/tree/main

The core idea is to take precinct-level election results and visualize them with one dot per vote, but distribute those dots based on block-level population density. For both maps, this uses 2020 Census block non-incarcerated voting-age population totals to place the dots (most of the work to generate these block-level vote and population numbers was done by the redistrictingdatahub.org, with the exception of DC, CA, and PA).

The map uses MapLibre for the front end and a vector-tile service called Tippecanoe to generate the tiles.

I was inspired by maps like this one: https://x.com/kennethfield/status/1363974716826869760 (the author has an excellent book of 101 visualizations of US Election data), but wanted to make a version that uses precinct-level data and offers the side-by-side comparison of 2016 vs 2020.

I hope it's okay to post this here despite the political nature - it was an interesting project from a tech/cartography standpoint and it's cool to see the political geography of the US.