Last week ArcGIS cartographer Kenneth Field posted a quick-and-dirty dasymetric dot density map of the 2016 U.S. presidential election results.
Where one dot equals one-vote.
Showing a much more nuanced picture of the US election than the simpler county or state level maps.
So how to make the map? Well, it's a product of a number of decisions, each one of which propagates into the map. I'll be doing a proper write-up on the ArcGIS blog in due course but, in summary, a dasymetric map takes data held at one spatial unit (in this case counties) and reapportions it to different (usually smaller) areas. It uses a technique developed by the late Waldo Tobler called pycnophylactic reallocation modelling. Those different areas are, broadly, urban. The point of the map is to show where people live and vote rather than simply painting an entire county with a colour which creates a map that often misleads [Waldo sadly passed away recently and I was running the model when I heard of his death a couple of weeks ago. I met him a few times and his legacy to computational geography and cartography is immense].
I used the National Land Cover Database to extract urban areas. It's a raster dataset at 30m resolution. I used the impervious surface categories and created a polygon dataset with three classes, broadly dense urban, urban, and rural. I then did some data wrangling in ArcGIS Pro (more of that in a different blog) to reapportion the Democrat and Republican total votes at county level into the new polygons. There's some weighting involved so the dense urban polygons get (in total) 50% of the data. The urban get 35% of the data and the rural polygons get 15% of the data. Then I got the dot density renderer in ArcGIS Pro to draw the dots, one for each vote resulting in a map with nearly 130 million dots.
Things that jump out at me:
- It's crazy empty between the I-35 and I-5 corridors.
- Border populations are very blue. Build That Wall... not so much.
- Spokane is more purple than I'd thought. Coeur d'ALene not so surprising.
And I miss playing with the GIS workstation at my old job.