Air Quality Mapped Over Time
The wildfires keep coming. The sky turns orange. You wake up in the morning, it stinks of smoke when you walk outside, and you know a fire must be burning somewhere.
The animation above shows estimated air quality over the past couple of months. It’s based on data from the Environmental Protection Agency, which collects data from thousands of sensors and classify air quality based on levels of particulate matter.
The EPA provides six air quality classifications: good, moderate, unhealthy for sensitive groups, unhealthy, very unhealthy, and hazardous. As fires burn, you see the map get darker red towards hazardous. White areas that appear during the animation indicate segments where not enough data was available.
Sensor data from the EPA is irregular over time and space, so the animation uses interpolation to estimate air quality levels across the country. This makes patterns over time and space more obvious but should not be treated as exact measurements for any given location.
I made this before the most recent Northern California fires that started on September 27, 2020. Ugh.
Data, R, and a 3-D Printer
We almost always look at data through a screen. It’s quick and good for exploration. So is there value in making data physical? I played around with a 3-D printer to find out.
10 Best Data Visualization Projects of 2015
These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.
Unemployment in America, Mapped Over Time
Watch the regional changes across the country from 1990 to 2016.