New Zealand general election, preliminary results, 7 Nov 2026 🇳🇿
Alin
@tulparmaps.bsky.social
Cartographer showing data through maps 🌏🗺️ I make maps and share best visualisations 🙌
7️⃣ Day 7 - Snow Leopard habitat | 10-minute map ℹ️ Data Sources: IUCN, Natural Earth Data ℹ️ Tools used: QGIS, Figma Photo: Eric Kilby · CC BY-SA 2.0 · Wikimedia Commons #30DayMapChallenge #hireme: Esri, Reuters, National Geographic, Statista :)
6️⃣ Day 6 - English settlements origins | Vintage ℹ️ Data Sources: GeoNames, OSM, YT shorts Virginia Beowulf (info & idea) ℹ️ Tools used: Python (with Claude), QGIS, Figma Illustration generated in Google #30DayMapChallenge #30DayMapChallenge2026
5️⃣Day 5 - Europe as seen from satellite | Sense: Sight 🗺 Some time ago, I made a viz of a 12-month pie chart for Almaty that showcases all the months/seasons in a pie view. This time, I took that idea and experimented with the continent. ℹ️ Data: OSM, MODIS ℹ️ Tools: QGIS, DaVinci, GEE (Claude)
Land doesn’t vote. How it differs when we add population variable into visualization
4️⃣Day 4 - Bird Migration across Europe and Africa | Clusters Inspired by Esri Deut. map Nature's flight plans White stork by Moroccan spotter Common crane by MinoZig Montagu's harrier by Charles J. Sharp Western marsh harrier by Charles J. Sharp Lesser black-backed gull by Henriok / Fredrik Dolk
3️⃣Day 3 - Caspian Sea is drying | Polygons ℹ️ Data Sources: The Times of Central Asia, Landsat, Sentinel, OSM, Euronews ℹ️ Tools used: QGIS, Figma #30DayMapChallenge #30DayMapChallenge2026 #map #cartography
Day 1 - Points | Where and when Kazakhstan is on fire Data shows fire points colored by 4 seasons: Summer - green Yellow-ish - fall Spring - red-orange Winter - blue
San Francisco Bay Area ship traffic in one day 🇺🇸 Visualization idea and inspiration from Craig Taylor (LinkedIn)
Italy’s population change 🇮🇹 Data is taken from open sources, hence, data quality is not 100% correct, but it still gives an overview. #italy #map #population #tanaka #relief
São Paulo buildings construction years 🇧🇷 Data was taken from official registers, yet the quality of data is not perfect. Some buildings might be off, but it gives overall picture #brasil #map #cartography #urban #brazil
How to get noticed here? Seems like if I just keep posting, the growth ain’t come
US railway development in lower 48. Derived from various sources including OpeStreetMap, OpenHistoricalMap, scientific articles, Wikipedia, and other. May include some minor inaccuracies as not all the data has reliable sources and consistent dataset. #unitedstates #railway #trains #map
Population density peaks of some European countries (2023-2025) 🇩🇪🇫🇷🇮🇹🇪🇸🇨🇭🇭🇺🇵🇹🇦🇹🇬🇧🇮🇪
All champions of Bundesliga and its participating clubs since 1991 🇩🇪 Sad to see that the league is heavily dominated by one club - Bayern Munich. The closest rivalry is Dortmund, team tries to challenge Bayern but ends up in top-4 most of the time. Can Dortmund finally become a champion since 2012
Schematic maps usually do not match the actual geography of the lines. So I made this visualization to show the difference. Did you know that the first section of the U-Bahn system was opened in 1976, on line U4, between Heiligenstadt and Friedensbrücke.
Hello, Bluesky community! I am cartographer and data journalist. I like to tell stories through maps and visuals. I draw my maps by myself and animate them with code (with the help of Claude). I want to start sharing here my works AB’s stories I’m curious about.
