Building Precise Maps with Disser by Brandon Martin-Anderson.
From the post:
Spatially aggregated statistics are pretty great, but what if you want more precision? Here at Conveyal we built a utility to help with that: aggregate-disser. Let me tell you how it works.
Let’s start with a classic aggregated data set – the block-level population counts from the US Census. Here’s a choropleth map of total population for blocks around lower Manhattan and Brooklyn. The darkest shapes contain about five thousand people.
Brandon combines census data with other data sets to go from 5,000 person census blocks to locating every job and bed in Manhattan into individual buildings.
Very cool!
Not to mention instructive when you encounter group subjects that need to be disaggregated before being combined with other data.
I first saw this in a tweet by The O.C.R.