From drawings of subway maps across the world all done to the same scale that Caterina linked (a mile = 2 pixels, something about that is wonderful) I came to Chicago mile x mile, photos of intersections in a grid, a photo for every mile, all the intersections looking arbitrarily similarly different. I particularly like the runtogether narrative of the streets of the city in the right hand column of the project description, which can be read with the photos as a key to the map. Neil Freeman did them both. And more.

3 thoughts on “chicago mile x mile

  1. scott

    Cool project, although it misses a lot. I mean, where’s Division Street? For crying out loud.

    A lot of the most interesting places are stuck inbetween.

    I’ll show you.

  2. tok

    Very interesting! I might consider to suggest adaption of the subway in Oslo and Copenhagen. They will not appear large in comparison, I’m afraid. About the pictures of intersections in Chicago: I remembered something about a site, covering all roads in Denmark, photographed for each 100 m! And I even found the link:
    http://www.vejsektoren.dk/wimpdoc.asp?page=document&objno=6937
    I can’t use it right now (I’m at work – shame on me: reading blogs while at work?!) since I don’t have administration rights on this PC. But I will try it from home…

  3. Ben

    Following a similar idea, here is a link of pics of Montreal’s Metro stations on the metro map.

    http://www.metrodemontreal.com/list-thumb.html

Leave A Comment

Recommended Posts

Triple book talk: Watch James Dobson, Jussi Parikka and me discuss our 2023 books

Thanks to everyone who came to the triple book talk of three recent books on machine vision by James Dobson, Jussi Parikka and me, and thanks for excellent questions. Several people have emailed to asked if we recorded it, and yes we did! Here you go! James and Jussi’s books […]

Image on a black background of a human hand holding a graphic showing the word AI with a blue circuit board pattern inside surrounded by blurred blue and yellow dots and a concentric circular blue design.
AI and algorithmic culture Machine Vision

Four visual registers for imaginaries of machine vision

I’m thrilled to announce another publication from our European Research Council (ERC)-funded research project on Machine Vision: Gabriele de Setaand Anya Shchetvina‘s paper analysing how Chinese AI companies visually present machine vision technologies. They find that the Chinese machine vision imaginary is global, blue and competitive.  De Seta, Gabriele, and Anya Shchetvina. “Imagining Machine […]

Do people flock to talks about ChatGPT because they are scared?

Whenever I give talks about ChatGPT and LLMs, whether to ninth graders, businesses or journalists, I meet people who are hungry for information, who really want to understand this new technology. I’ve interpreted this as interest and a need to understand – but yesterday, Eirik Solheim said that every time […]