Playing with Canadian 2021 federal elections data.
We noticed a lot of recent traffic to our blog post on the 2019 elections, so maybe that means that, now that all districts have been called, we should update the post with 2021 data. We will just lazily run the code from the old post with the new data. And given that the outcome was overall quite similar, we can also leave the text/commentary largely unchanged. Which makes life nice and easy for us.
We talk a lot about people living abroad owning property in Canada, let's take a look at Canadians owning property abroad.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) We know transnational ownership of properties is real. But how should we define it? And how many properties are owned by who where? First to definitions. We’re primarily interested in ownership of dwellings, where we can define ownership of properties in terms of titles and – in the relatively rare case of corporate ownership – in terms of beneficial ownership. Given this start, we can define transnational ownership of properties in at least two ways, the key distinction being how we locate property owners.
We now have some data on vaccination status of COVID cases and hospitalizations in BC. It's not really enough for robust vaccine effectivness estimates, but given the public interest let's see how far we can get.
BC now shares data on the vaccination status of cases and hospitalizations in their weekly Data Reports. This is progress, although calling it “data” is reaching. What is shared is graphs that need manual scraping to be turned into (approximate) data. The numbers themselves aren’t particularly meaningful. Vaccines aren’t 100% effective in preventing symptomatic COVID (approximated by “cases” in BC) or hospitalizations. This means that as more people get vaccinated, there will be more cases and hospitalizations among the vaccinated population.
Fun with global satellite-derived land use time series.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) We’re getting better and more accessible datasets for exploring land use change all the time. We have played with the Global Human Settlement Layer (GHSL) data in the past, where we looked at the population data on a 250m grid to compare how different city’s population distribute spatially, as well as the 1975, 1990, 2000, 2015 time series to see how it changed over time.
A look at non-market transfers of market properties.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) TLDR Commodification of housing: what does it mean? Is it a problem? Can we decommodify housing? Can we establish a baseline for often this occurs in property transactions? Here we draw upon a recent Statistics Canada data release and older Census data to walk through some of these questions. Commodification in Property Transactions The commodification of housing has been identified as a problem to be resisted by a wide range of analysts and commentators.
Too much data, too little time.
Mountain Doodles is an insomnia driven MountainMath side project, born out of random questions, trying to give partial answers through data.