There were so many awesome maps shared as part of #30DayMapChallenge in November 2019, but they were dispersed across Twitter. I thought I'd try to collate them so they're all in one place and somewhat explorable. I'm looking forward to catching up on the ones I missed and coming back time and again for inspiration. Hopefully you enjoy them too. Thanks to everyone who took part!
Click through to the map gallery where you can explore all* the maps. Turning the unstructured data of thousands of tweets (map submissions and random discussion) into a structured dataset is naturally a long and partly manual process, so the gallery content continues to grow.
The interface allows you to filter by challenge days and the areas being mapped, as well as other metadata - the types of maps and the tools used (where they've so far been classified). Click on a map card to see the full image, and to link through to the original tweet and the creator's webpage.
As you might expect, loading the full page and looking at every map in detail will load 10s or 100s of MB of data, but the images are loaded lazily so you don't have to download it all at once!
If you have trouble with the gallery, or don't like the approach, Aurelien Chaumet took a different (but still really awesome) approach collating them all in Tableau.
This was all started by Topi Tjukanov in Finland:
Announcing #30DayMapChallenge in November 2019! Create a map each day of the month with the following themes- Topi Tjukanov (@tjukanov) October 25, 2019
No restriction on tools. All maps should be created by you. Doing less than 30 maps is fine. #gischat #geography #cartography #dataviz pic.twitter.com/6Go4VFWcJB
People know a good idea when they see one, and hundreds of people from around the globe took part to have some fun and improve their map making skills.
Take a look at the stats page (though it needs a bit more data at this stage).
If a map is missing from the gallery then it should be in my todo list (actually a todo data frame) and will appear soon. The most helpful area to crowdsource is the metadata on areas, topics, types and tools. My source data file is here - please feel welcome to fill in any of the gaps.
Note that I decided to only allow one map per theme/day per person. Some people made multiple maps for a theme - generally you can see the others if you click through to the original tweet.
I'm David Friggens (@dakvid) - just another guy on Twitter with an interest in maps. I had other commitments in early November so only managed 9 maps in the second half, but wanted to see more of what everyone else made as there have been so many amazing maps.
No, probably not.