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                                                             on Gopher (inofficial)
   URI Visit Hacker News on the Web
       
       
       COMMENT PAGE FOR:
   URI   City Roads: A tool to draw all roads in a city at once
       
       
        cjs_ac wrote 51 min ago:
        * Greater London excludes the City of London
        
        * Footpaths and cycleways and shown as roads but railways are not
       
        thih9 wrote 58 min ago:
        OSM content attribution is missing (either not added or getting
        clipped) when the data is exported for printing on a mug.
       
        pmg101 wrote 1 hour 28 min ago:
        If you choose Brighton and zoom in on Hove Park you see the fingerprint
        maze there very beautifully rendered as a vector, amazing OSM has this
        detail!
       
        Defenestresque wrote 2 hours 17 min ago:
        The hobby-sized projects/videos on your Twitter are mesmerizing: [1]
        Talk about a true hacker mindset. Great bloody job!
        
   URI  [1]: https://x.com/anvaka
       
        larodi wrote 3 hours 22 min ago:
        This is the level of projects that our GIS students deliver at the end
        of 60 hours of non-mandatory class. Perhaps 70%+ of visitors of HN can
        do it if they decide to, it is just an interdisciplinary area that not
        many explore. A project of similar complexity in the WEB or ML are
        would never get upvoted so much.
       
          aembleton wrote 1 hour 10 min ago:
          Are there are any tools that your GIS students use to create this? Or
          is it all code? Any libraries that you can recommend?
          
          I was thinking that I would query the global database for roads and
          then take the nodes and their coordinates. Then I would need to
          convert those coordinates into points on a canvas and draw lines
          between them.
          
          How would I get the boundaries of a city? Some places I've tried are
          just a point in osm. Is there some other data source you would use
          for that?
       
            cpa wrote 52 min ago:
            A combination of overpass turbo and a LLM would get you started
            pretty quick.
            Regarding GIS tools, download QGis (it sucks on mac but is okay on
            linux or windows)
       
          matsemann wrote 2 hours 17 min ago:
          What is your point? That it's "undeserved" and that's bad somehow?
          
          I think it was a cool visualization and fun to see. And still, 60
          hours of research is more than I would put into it, so even if I
          technically was able to I would've never gotten around to actually do
          it. So nice to see something else than what I normally work with,
          even if it might be trivial in that domain.
       
          Capricorn2481 wrote 2 hours 36 min ago:
          Is this not a project in the web? Or what would be a web project of
          similar complexity?
       
        dudeinjapan wrote 3 hours 59 min ago:
        Well done! I tried Tokyo, and discovered it looks funny/disjointed
        because several far away islands like Hachijojima are part of Tokyo
        municipality.
       
        JSR_FDED wrote 6 hours 29 min ago:
        I was intrigued by how many of the 3000 cities you’ve cached I had
        heard of. You used population size >100k as cutoff, it would be
        interesting to compare how many cities someone has heard of with their
        population size.
        
        This would be a fun metric to rate someone’s “global
        orientation”.
        
        Only recognize the cities with >1M people? Low GO score (or more
        charitably, high Local Focus score :-)
       
          rplnt wrote 5 hours 22 min ago:
          There are many quizzes like that on Sporcle.
       
        rl_for_energy wrote 7 hours 12 min ago:
        One of those simple charming tech experiences. Thanks for sharing!
       
        elbac wrote 8 hours 40 min ago:
        This is wonderful. Great job.
       
        imnotlost wrote 9 hours 20 min ago:
        Love it! I did a few cities where I’ve lived and it brings me back.
       
        latkin wrote 10 hours 23 min ago:
        In case others gave up, it took about 2.5 minutes to load my (midsize
        city) hometown from OpenStreetMap. So hang in there.
       
          NavinF wrote 6 hours 45 min ago:
          That's surprising. It only took me a couple of seconds to load NYC on
          my iPhone over 5G
       
            zipping1549 wrote 2 hours 31 min ago:
            Some cities are cached and NYC is going to be in it for sure.
       
          remram wrote 9 hours 12 min ago:
          Probably going to hit the paradox here, where most people are going
          to request a place where many people live, even though most places
          are small.
          
          I probably have no chance, living in NYC.
       
            dotancohen wrote 1 hour 55 min ago:
            I'm in a city well under 50,000 people not in the Americas nor
            Europe. The site gave a message that it was retrieving the data
            from OSM, then rendered the map faster than the browser would
            render a png. Very impressive.
       
            zactato wrote 8 hours 58 min ago:
            I would expect the opposite with a basic LRU cache before the fetch
            to OSM
       
              remram wrote 6 hours 55 min ago:
              That's fair unfortunately it's not what happened :-(
       
          sandworm101 wrote 9 hours 24 min ago:
          I'm at 10 minutes now, for a town of <15k.  Render time might depend
          more on total area than number of lines to draw.  Update: gave up
          after 20min.  Something might be wrong with the particular city.
       
            fnordpiglet wrote 8 hours 24 min ago:
            Render time for Seattle is a blink of the eye which has both area
            and density. I think the time people is observing is loading the
            raw data from open street map itself.
       
              Capricorn2481 wrote 2 hours 33 min ago:
              Because they cache the biggest cities in the world.
              
              > To improve the performance of download, I indexed ~3,000 cities
              with population larger than 100,000 people and stored into a very
              simple protobuf format. The cities are stored into a cache in
              this github repositor
       
              flufluflufluffy wrote 8 hours 1 min ago:
              About 2 seconds for me to load and draw Los Angeles. It’s
              definitely the load time/network latency, depending on where
              it’s loading from. This is amazing! I might use it for a custom
              map or something
       
        kayvulpe wrote 10 hours 38 min ago:
        Incredible! May take a while for a big city, but well worth the wait.
       
        Liftyee wrote 10 hours 46 min ago:
        In the age of bloated resource hogs, I was pleasantly surprised that
        this rendered with no perceptible lag or stuttering, even on my phone.
        Impressive how everything is drawn so efficiently.
       
        hiatus wrote 11 hours 0 min ago:
        Link to the github project:
        
   URI  [1]: https://github.com/anvaka/city-roads
       
        okasaki wrote 11 hours 36 min ago:
        Great idea. Might print some and hang them.
       
          dotancohen wrote 1 hour 53 min ago:
          I was thinking that this would be a great gift, to print a set of
          dinner plates with every place that I know the couple lived in. Each
          plate a different city.
          
          Though I'm a bit worried about paint near food, especially for custom
          jobs.
       
        peppertree wrote 12 hours 52 min ago:
        There's also a Figma plugin that can import OSM as vector.
        
   URI  [1]: https://www.figma.com/community/plugin/1251030017228239072/vec...
       
        walski wrote 13 hours 52 min ago:
        I get a 403 for some cities. E.g. Wyk (auf Föhr) returns 403 on this
        .pbf resource:
        
   URI  [1]: https://city-roads.s3-us-west-2.amazonaws.com/nov-02-2020/3601...
       
          walski wrote 13 hours 52 min ago:
          Oh damn, I thought this is a Show HN :D
       
            anvaka wrote 11 hours 7 min ago:
            appreciate the feedback - I'll take a look
       
        semi-extrinsic wrote 14 hours 0 min ago:
        Would be nicer if it would distinguish (just varying line thickness)
        between footpaths, roads, highways etc. Many European cities look messy
        in this view.
        
        IMO, prettymaps is quite a bit better:
        
   URI  [1]: https://github.com/marceloprates/prettymaps
       
          noiv wrote 5 hours 50 min ago:
          It's JavaScript and exposes an extensive API via console:
          
   URI    [1]: https://github.com/anvaka/city-roads/blob/main/API.md#loadin...
       
        mulhoon wrote 14 hours 3 min ago:
        Simple and effective. Beautiful to look at.
       
        Amorymeltzer wrote 14 hours 23 min ago:
        Neat!  Lovely to look at.  Is it caching just the most popular or
        previous searches?
        
        The option to print on a mug with one link is pretty neat!  Might
        actually do that...
       
          HellsMaddy wrote 10 hours 57 min ago:
          From the README[0]:
          
          > To improve the performance of download, I indexed ~3,000 cities
          with population larger than 100,000 people and stored into a very
          simple protobuf format.
          
          [0]
          
   URI    [1]: https://github.com/anvaka/city-roads
       
        crabmusket wrote 14 hours 24 min ago:
        I have a map of Brugge (Bruges) from this tool printed off on my wall.
        It's a great concept!
       
          anvaka wrote 11 hours 6 min ago:
          oh wow. Glad you liked it!
       
        tekno45 wrote 14 hours 33 min ago:
        Idk how long itd take normally so just kinda neat.
        
        But i love the slack in the dragging around the map.
       
       
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