Another November means another #30DayMapChallenge. Last year I was annoyed at the Gulf of Mexico renaming. This year it's personal! I live part time by the shores of Lake Ontario now. For some incompetent fool to give it some stupid name and for Apple and Google immediately obeying in advance, November is my tiny protest. These maps are nothing special so far, it doesn’t help that the first 3 days prompts are points, lines and polygons like every year. Maybe we can give that a rest for a year at least? Day 1: Points - The Great Lakes as a constellation-with the actual names of the lakes Day 2: Lines - The US/Canadian border line as it travels through Lake Ontario Day 3: Polygons - The name of this polygon is Lake Ontario! Hand drawn, ink on index card. Day 4: Clusters - plastics pollution. The data source is very generalized but for complicated technical reasons the map looks more specific than it should. Next week - the madness continues! *Pardon the brief editorializing but it really annoys me when I look at my weather app for the area and have to see that stupid name every time. Yes there are other weather apps that still show the lake with its correct name and I should switch but habits are hard to break.

Here is an animated map of wind speeds. It stacks up six months of global average wind speed and direction, and uses the flow renderer. The cumulative result is a sort of silky living web. You can click on the link above and reverse engineer it or you can watch this short how-to that walks …

Recently, I was very impressed by 10 Years, 10 Adventures, a collection of ten WebGL-powered animated travel maps featuring 3D terrain, animated elements and trip narration. So, for today's #30DayMapChallenge, I decided to try creating something similar: a 3D map of Cap d'Antibes, which I recently visited in the South of France. My interactive 3D Map of Cap d’Antibes lets you fly around the peninsula, discover some of its best-known landmarks and view the route of an incredible coastal walk. The map includes clickable points of interest, with three photographs I took on my vacation. You can also follow an animated walking route along the coastal Sentier de Tirepoil, watching the route gradually draw itself across the 3D terrain. The map was created using Three.js, with elevation data from Mapterhorn, a service providing terrain elevation data for creating 3D maps of the Earth's surface. The elevation data was downloaded as a GeoTIFF, a georeferenced image format which stores geographic information alongside the elevation values for each pixel. This data was then converted into a 3D terrain model. The walking route was plotted separately using geojson.io, an online tool for creating and editing GeoJSON geographic data. The resulting LineString was added to the 3D terrain and animated, with its height adjusted to follow the contours of the landscape. My map is not a patch on the maps in 10 Years, 10 Adventures, but I'm happy with the results so far. With a little vibe-coding help from ChatGPT, the map only took 3-4 hours to develop. I probably won't take the project much further, as I suspect the map isn't of much interest to anybody else. However, there are plenty of ways I could improve it, including adding more photographs and points of interest, incorporating additional walking routes, and perhaps even adding narration to turn it into a more complete virtual tour of the peninsula. Read the original article at Maps Mania. Enjoyed this post? Follow @mapsmania on Bluesky.

Last year, I created a new map projection, the Asymmetric Monstrosity, designed to make somewhat of an artistic and educational statement about projections in general. I also made a physical world map to demonstrate it. Of course, there is a huge difference between a projection and an individual map that uses that projection (a distinction … Continue reading Asymmetric Monstrosity: Home Edition →

In a recent post on Attila Bátorfy's Cabinet of Infographic Curiosities, he highlighted the Czech-born geographer and statistician Anton Leo Hickmann and his early contributions to data visualization. Hickmann’s most influential work, the Geographisch-statistischer Universal-Taschen-Atlas, was published in 1894. You can view it from the Austrian National Library. it’s full of interesting charts and maps but what got my attention was this diagram. I’ve posted before about comparative mountain heights. There’s even a post on the David Rumsey Map Collection showing many different examples of these but this one is new to me. Note that I stitched two atlas pages together to make the image above. The title translated from German is “Idealized view of the most significant highs and lows“. This graphic has two layers, the top one for mountain heights sitting over a layer of sea and ocean depths. The top panel shows Europe in the foreground and from left to right Africa, Asia, South America New Zealand, Australia and Hawaii. Mount Saint Elias (straddling the U.S. and Canada) is the only North America peak shown*, Denali must have been unknown to Hickmann. Here’s a detail with the Balkans in front and Amerika (mostly south and central) in the background. The second layer has the ocean depths with major seas layered on top of them, a clever way of showing many bodies of water in the same illustration. A second grouping underneath mirrors the top ones with a focus on the Alps atop the Mediterranean Sea and its affiliated bodies of water. Here’s a detail from the third and fourth panels with the Mediterranean and Ligurian Seas on the bottom, Bern on the foreground and some of the high peaks of the Alps in the background. *Not counting Hawaii as North America. Also Mt Hooker is a name that appears in many places but none of them are close to 4185 meters. For a deep dive into the rest of Hickmann’s atlas see Atilla’s post.