There is a related project which I used several times:
https://github.com/anvaka/city-roads
Edit: it outputs SVGs and you can try it online. Anvaka (author) has other really cool dataviz projects.
These demonstrate just how car-obsessed our society is. Depressing.
San Francisco looks nice, but there seems to be a problem with the projection in some of the sample images. It looks as if it isn't UTM but a global sphere projection, which isn't suitable for local renders. It's suspicious that the word 'projection' isn't mentioned in the Readme.
This is an artistic project to make a fun and artsy poster, so it's not at all "suspicious" that the map projection is not critical to the artwork.
It also appears to be open source, so perhaps you can open a pull request with your improvements based on your cartographical experience.
You are absolutely correct. Suspicious was the wrong word and I did not mean to criticize the author or the work.
It looks like the final images have some kind of vignetting to make the corners and outter edges fade away. Probably grabbing OSM tiles and doing some image processing.
Looks neat!
I believe (from a quick code check on my phone) it should be possible to output the images to SVG with a little tweak, thanks to your use of matplotlib?
Is there a reason you’ve defaulted to PNG that I’m missing?
Valid Point @mft_ plt.savefig(output_file, format='svg', facecolor=THEME['bg']) should do it. I will add a --format parameter and make the change.
Holy heck exporting to PDF/SVG for large cities is laggy, just patched the repo and did it for one over half a million people and it’s insanely slow lol
There is throttling in the code when making api request to respect the map provider as per their terms and conditions. Can make few thing parallel but it's a hobby project how many posters would one person want to generate?.
Are you using a coding package or graph-based approach for this, or is it standard image generation? I’ve seen very similar results on https://picxstudio.com —it’s an AI image generation platform.
Does anyone have recommendations for how to actually print a poster from images like these?
El-co Color in New Jersey is known for its affordable 20x30" poster prints.
I remember one of these had a service that made a 3D relief map (3D print) and then framed it, so you could hang it onto a wall.
For what it's worth, I use Vistaprint. That's not based on an extensive comparison, just that it always works for me and seems comparable in price and quality to other services.
For something DIY, Rasterbator.net can make you a poster-sized print in multiple sheets. You’ll need some elbow grease to assemble the print.
In the US, I've had good results with Staples
A good print on demand that delivers ?
dotphoto.com
This really needs to be `uvx` runnable.
What happens if there are multiple cities with the same name. Maybe this is a US specific problem, but there are many states with cities of the same name from another state. As a few examples:
Salem, OR and Salem, MA
Portland, OR and Portland, ME
Springfield, IL and Springfield, MO
Dallas, TX and Dallas, GA
If you just type "Salem" for the city, it just picks one and goes with it. If you type "Salem, Oregon" vs "Salem, MA", it gives the desired result (at least for the cases I've tried), and then uses your input text as the caption.
Don't even get started on American cities named after world cities: Paris, Munster, London, Toledo, Memphis, Athens,...
Every country has those. There was some that found it very funny when Russia occupied New York last year (or last year again?).
Even the name "New York" is a reference to an existing city...
But they had the decency to append "New". New Birmingham? New Athens? New Madrid? These are cyberpunk city names.
lol, I didn't even think of it. May be I should start taking country too. Edge case :-p
This repo is fantastic. The README should be the gold standard for OSS. Not to mention how stunning the outputs are. Thanks for sharing.
Also check out prettymapp
Awesome! After I generate, where can I take that super res image and get a high quality photo print to frame?
That's splendid. I've long wanted to make a jigsaw puzzle out of Sydney's road map, so I can familiarise myself with the layout of roads while having fun. That way I can reduce my reliance on nav app and become one of those old-school drivers.
There's a reason Where 2 -> Google Maps happened in Sydney. The sheer number of one-way roads combined with the imposition of the harbour and the messy tunnel system make internalising Sydney navigation a life-long endeavour
Three random themes for anyone who's Czech or likes Prague and doesn't want to set up the script locally: https://imgur.com/a/Ovg8mDW
Looks beautiful. The gold+dark color does justice.
What’s up with the Zizkovska tower highlight?
I tried it in a python3 venv, but the download data step is stuck at 0% unfortunately.
The bar only updates once that entire step is complete (ie, if step 1 of 3 is downloading roads, it won't tell you what % of roads have been downloaded, but rather it will remain at 0% until all roads are downloaded at which point it will jump to 33%).
It will work, give it time. Also default distance is 29000. Give distance of 10000 to see faster results. It certainly is working as many users have generated maps.
Also note that as per their terms and conditions I need to give a user agent, so multiple users will be sharing same user agent right now.
Etsy sellers devastated
The map of Venice seems to be the only one whose image is "squeezed" horizontally. Wondering why.
need to take into consideration the length and width of the city and choose distance appropriately. I haven't followed my own suggestion here - https://github.com/originalankur/maptoposter?tab=readme-ov-f... will fix.
Hi! I generated a map as well, but indeed, the map is squeezed horizontally. I have here a screenshot from a map and the poster: https://photos.diffop.be/apps/photos/public/h6JKMJImLZCXutcT...
I have tried adjusting -d, but it only affects the scale.
Here is the command I used: python create_map_poster.py --city Leuven --country Belgium --distance 4000 --theme sunset
Pretty cool! It would be great if there was a way to set coordinates manually, since Nominatim can sometimes produce mediocre results. Also, would be nice to have a way to render the same map in all themes, not just one.
The initial version were coordinates actually but then realised people mostly love their cities more than anything and it's easy that way. Will add this feature back as optional parameters.
Looks amazing ! In my free time, i play with my laser cutting machine. It will save me some design time. Thanks
Why are big chunks of Sam Francisco missing (eg around the bridge) missing from the example?
Those smooth chunks are all (mostly) public park land. Known as Presidio and part of the Golden Gate National Recreation Area.
You know your city.
python create_map_poster.py -c "San Francisco" -C "USA" -t sunset -d 10000
-d should be approx. 10k to 14k given the size of the city. You can give it a shot.
what are the blue dots? (not water bodies i think?)
I was curious about this too and it’s actually a bug— these blue dots are random parks or park features. Most parks are polygons, but less than 5% or them are points from volunteer mappers who didn’t make them polygons and so these stray points seem to slip through and get plotted as the matplotlib default color…
If only I knew this before I printed it out and attached it all together with rasterbator lol
Yes, the blue and orange dots are from the water and parks Nodes and Ways in the OSM data.
It doesn't look like the orange and blue colors are part of the theme definitions, so the rendering library may be using some default values. This is why they are rendered in the same color on images using different theme files.
It says there are examples but I can't see them?
Please check on desktop, the table is hiding images in responsive mode - You can see the images on X here https://x.com/getpy/status/2009255303775174684
Thanks, I didn't notice there was another column that I could sidescroll to!
Very cool, thanks for sharing!!
Nice! Thanks