A step-by-step guide to creating spatially-contiguous socioeconomic clusters in R using the SKATER algorithm

How many hawker centres and stalls are a short walk away from me at any given location in Singapore? An interactive map, and a step-by-step guide of how it was made.

What does it mean to be “normal”? Consider for a moment the quintessential Canadian city. What does that image in your head look like? Are there outdoor rinks, wheat fields, and abundant Timmies? Does your mental image include a yoga studio, a dispensary, and a third-wave coffee shop? Canadians like to celebrate a self-constructed identity of diversity-the cultural mosaic- that is punctuated with conspicuous Canadiana that binds everything together. Read more

(Updated October 16, 2018) With the election coming up in the next week and this page getting more traffic, I decided to do a quick refresh of the data used in this post up to and including October 15. Changes are relatively few, and as this site is a github repo, can be tracked via commits to this post. The 2018 Municipal Election in Vancouver On October 20, a relatively small portion of Vancouverites will vote to elect a mayor, 10 city councillors, 7 park board commissioners and 9 school trustees. Read more

Preamble This was a short post that turned into a longer post. The purpose of short post was to highlight and share a new package we have been working on to improve access to Canadian statistical data. This then turned into a post about domestic tourism patterns, and ultimately a discussion about two different types of visualization techniques for comparing changes over time. Jens and I have been working on an R package to work with Statistics Canada’s public datasets (traditionally referred to as CANSIM tables). Read more

Vector tiles? When MapQuest and later Google Maps came on the scene we were blown away by the detail, speed, and convenience of “slippy maps” that you could scroll, pan, and drag across. The concept underpinning those maps was the use of tiles: pre-rendered map cells for every specified zoom level that would be loaded by your browser as you scrolled through a map. For many years after their introduction, these slippy maps used raster-based bitmaps as their tiles. Read more

While putting together the data for the longer post on measuring and visualizing diversity and segregation in Canadian cities, I wanted to see if there was an intuitive way to compare similarity of cities across multiple Census demographic variables at the same time. Comparing across many Census variables at once requires us to think across many dimensions at once. As our eyes really perceive in at best four dimensions, visualizing many dimensions requires a reduction in the number of dimensions from many to the two (or three) dimensions that best allow for visual interpretation. Read more

This is the first post from what I hope to be is a series of posts looking at the spatial distribution of different demographic variables in Canadian cities. In this post, I take a look at the diversity of visible minority groups in Canadian cities using Census data. By using a measure that relates diversity to segregation, we can also look at how these cities distribute minority groups and to what extent these cities are segregated. Read more