they don't know what's coming hehe
#30DayMapChallenge Day 4 — Clusters 🚲
Where can you find a place to park your bike?
RackFinder turns crowdsourced OpenStreetMap (OSM) data into an interactive map of bicycle racks, built with Mapbox.
By clustering nearby bike racks, the app makes it easier to explore available parking locations without overwhelming the map with individual points. As users zoom in, clusters reveal more detailed locations.
Even better, users can contribute missing bike racks directly to OSM, helping improve the map for everyone.
Explore the map and see how developers can turn crowdsourced location data into useful, community-powered experiences: rackfinder.app/#/
#BuiltWithMapbox #30DayMapChallenge #OpenStreetMap #MapboxGLJS
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Deleting Instagram did NOTHING to improve my productivity. I now doomscroll on Google Maps.
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I'm building New York City, with Unreal Engine 5 and Blender and three.js as renderer options, open source! Ready for building games, visualization, simulations or reinforcement learning!
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Trying to improve the lighting of the whole scene, added soft shadow, fog, and adjusted the light from the sky.
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GeoRetina Atlas is the most comprehensive digital twin of the entire planet ever built based on OpenStreetMaps (OSM).
Any cities/place that has OSM data is available to explore for free without any limits.
It's built using @threejs and a custom WebGL pipeline.
It's not just built for visualizations, but also for physical simulations like flood scenario modeling.
We already have our own high-resolution 5m flood maps for 139 cities and plan to expand it to 1000 cities across the world in the next few days.
You can find the link in the comments 👇


































