Recently I've been posting about Edmonton Transit and drawing a lot of my data from the 2014 Edmonton Census. Well the 2016 census data is now available on the Edmonton Open Data Portal so I should take a peak and see what's changed.
I recently discovered a bug in how I was generating choropleth maps with cartopy. Basically the
add_geometries() function for adding shapes to matplotlib maps was not mapping the correct face colours to the correct geometry.
I was having a conversation, the other day, about how much of a pain it is to take ETS to and from the 'burbs. I am a big fan of not driving as much as possible and I resisted owning and driving a car for years in Edmonton (notably when I lived downtown and either worked downtown or at the University) but no longer, I have a car. My particular breaking point was working in a business park that wasn't really transit accessible -- by bus, train, bus, and then walking my trip to work took over an hour each way, with a car that dropped to 20 minutes max. I figure this experience generalizes well and exlains why transit ridership is really low in Edmonton. Transit takes forever and it sucks, whereas everywhere is a 20-30min drive from everywhere else in this town.
Recently I sat down and made some maps of Edmonton with overlays for various and sundry bits of the census. This got me interested in looking into the API for the open data portal and seeing what I could do with that.
I've been working on a project for the past few weeks that involves parsing a bunch of data sets to generate some aggregate statistics at the neighbourhood level in my hometown of Edmonton. Staring at tables of numbers and scrutinizing a ROC curve can only inspire you so much. Today I'm taking a break and making some maps of Edmonton's latest property values dataset and most recent city census (done in 2014).
I've been hearing a lot that this past election was the PC party's to lose, and that what we saw was not an "Orange Crush" as much as an ABC -- Anything But Conservative.