The BAnQ has more than 20,000 maps in its digital collection, ranging from the 16th century to the present day; said holdings include maps from before the Conquest, maps of cities, towns and villages (many of them fire insurance maps), and historic topo maps.
In the wake of serious and devastating spring flooding in 2017 and 2019, the Quebec government issued proposed flood zone maps that marked areas where rebuilding and new construction would be put on hold. There was immediate pushback: as CBC News reported last month, the maps included substantial areas of small towns (such as, in my neck of the woods, the villages of Fort-Coulonge and Campbell’s Bay), or, in the case of Gatineau, areas that were not flooded in either 2017 or 2019 as well as major new developments. The mayor of Vaudreuil-Dorion suggested that the mapmakers forgot to correct for cloud cover. In the end, new maps were issued that removed substantial areas of Montreal from the flood zone, among other areas: some 20 percent of the 120,000 homes affected by the first set of maps were removed from the revised maps.
In my neck of the woods we’ve been dealing with some pretty severe spring flooding. And as is often the case, existing flood maps are not up to handling the new normal imposed by climate change. Sainte-Marthe-sur-le-Lac, a community near Montreal, was hit hard by flooding this spring, but only two of the 800 flooded homes were in current maps’ flood zones. This isn’t an new situation; we had similar floods in 2017. Back then, CBC News reported that Montreal-area flood maps’ 20- and 100-year floodplains were exceeded by the then-current flood extent.
CBC News’s interactive map of last month’s provincial election in Quebec gives us a detailed look at who won each poll, and by how much (percentages, not raw numbers), and compares those results with those from the 2014 election. The map highlights where the pockets of support for each of Quebec’s parties can be found; comparing those pockets with the 2014 results is quite revealing. (The 2018 election was a bit of a watershed, as support bled from the established Liberal Party and Parti Québecois to the upstart CAQ, which won, and Québec Solidaire.) Here’s the accompanying story from CBC News.
These CBC News infographics explore the results of last week’s provincial election in Quebec, comparing the vote share of the political parties among key socioeconomic and linguistic populations where there were the highest correlations. The maps are constituency level and use a modified hexagon grid to control for population density. [Canadian Geographers]
A couple of weeks ago Atlas Obscura had a fascinating story about toponomy—the naming of places—and my adopted home province of Quebec. In 1997, the Quebec government decided to mark the 20th anniversary of the Charter of the French Language (known popularly around here as Bill 101) by naming 101 islands in the Caniapiscau Reservoir in northern Quebec after significant works of Quebec literature—the names of novels, short stories, poems and plays, as well as expressions taken from those works. Quebec’s Commission de toponymie called the archipelago le Jardin au Bout du Monde (the Garden at the Top of the World). Controversy ensued, as it tends to do in this province: as you might expect from a project commemorating Bill 101, the names came from exclusively francophone works; works by Quebec anglophones were ignored. And the indigenous communities pointed out that the islands were mountains before the reservoir was flooded in the early 1980s, and those mountains had indigenous names. See Atlas Obscura for the full story. [WMS]
I live 45 minutes outside the western Quebec city of Gatineau, which itself lies just across the river from Canada’s capital city, Ottawa. Yesterday Gatineau’s police service launched a crime map that shows seven categories of crime—arson, assault, break-ins, robbery, theft from a vehicle, theft of a vehicle, and vandalism. The cops are careful to stress (media release in French) that the map is for informational purposes only; the data isn’t suitable for data-crunching, and the locations aren’t precise enough to pinpoint specific buildings.