https://kmd-labs.github.io/el-nino/

Over the past few months, we have been developing a project called 1830belgium.com, with the goal of providing the clearest possible picture of the Belgian political landscape.

One of our initiatives at 1830 involves visualizing the 2024 municipal elections at the level of individual polling stations and vote-counting bureaus. By using data released by the Flemish government—which, unfortunately, was made available only for the municipal and provincial elections—we were able, for the first time, to create a visualization showing exactly how each neighborhood voted.

We began with my hometown, Ghent. Credit where credit is due: the province of East Flanders—and by extension, the city of Ghent—was significantly more open regarding their polling stations and counting bureaus than any other province (though Antwerp also performs quite well in terms of transparency). After spending several weeks carefully weighing the data and piecing the puzzle together, we arrived at a result for Ghent that we are truly satisfied with. We then applied the same approach to Antwerp, and I must say, I am very proud of the outcome. We used data from Statbel to assign the correct names to the defined sectors; I hope I have labeled them accurately and haven’t caused any offense—rest assured, the distribution of votes is entirely accurate. That said, any feedback or nuance you might offer would be more than welcome.

I hope you enjoy exploring it and appreciate the work we have put in over the last few weeks.

Here is the link: https://1830belgium.com/Antwerpen-verkiezingen-2024

Grey lines are explicit links, cyan ones are similarity edges. Nodes are sized by how much of the vault routes through them. The layout is a 3D force simulation left to settle.

row = solar cycle
column = year of the cycle
square = month
more sunspots = more spin

The more chaotic the cell is the more sunspots were observed in that year

Country mapped vs percentage of their population who used internet in 2025.