Isochrones 😍 ! This map shows you how far a 5h train ride will take you, departing from any city in Europe.
chronotrains-eu.vercel.app
Inspired by Direkt Bahn Guru by .
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Benjamin Td
@_benjamintd
software at Genesis, prev. Mapbox | data, maps, bikes, climbing | made chronotrains.com, benmaps.fr, data.pour.paris, codegame.cardsBenjamin Td’s Tweets
Can't wait to be able to remove that underscore from my handle 🧹
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The amount of wheat produced per hectare in China increased 10-fold(!) over the last six decades.
From our Crop Yields Data Explorer on : ourworldindata.org/explorers/crop
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Good thing we're using our skills for the greater good and not for evil! Lmfao
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Mammals are making a comeback in Europe.
A lot of news on biodiversity is grim. But it doesn't have to be: we can change it.
My article on here: ourworldindata.org/europe-mammal-
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People have asked for a US version of Chronotrains.
Do you know of any good datasource for train timetables in the US? Is there any other service than Amtrak to take into account?
I guess we'll need more than 5h isochrones to make it visually interesting...
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I updated the data for chronotrains, including (finally!) the Paris Eurostar, missing stations (e.g. Millau), and many other schedules that I missed in the original dataset.
Anything you still see missing? Let me know!
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I've been working on a fast duel version of Wordle/Sutom but never shared it. Does anybody want to try it out?
French only: swordplay.vercel.app
If you know of a good English dictionnary for a game like this one, let me know!
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Comme je vois que vous aimez la bonne cartographie, je vous ai préparé...
💫 La carte de France du plus long nom de commune par département 💫
(un énorme big up à Saint-Remy-en-Bouzemont-Saint-Genest-et-Isson)
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- ' research: campop.geog.cam.ac.uk/research/proje
- The 1911 data: rains-git-1911-benjamin-td.vercel.app
- The original Chronotrains:
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A researcher from Cambridge, , gave me access to train travel times from 1911.
Here's a comparison between now and then - a denser network with more small stations and no high-speed rail.
Their project reconstitutes historical networks.
Links below ⬇
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The new Next.js 13 from looks great! It's quite a change of mental model though. I don't yet see how global state (jotai, recoil) and realtime (e.g. firebase) fit into this picture though?
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Vous l’avez peut-être déjà vue passer cet été : je parle dans ce nouveau format de Chronotrains, la superbe #dataviz créée par . Il m’a expliqué comment elle a été faite et raconté quelques fun facts ;-)
👉
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You can now link to a specific view (station, latitude, longitude) in Chronotrains.
Look at Maribor, Slovenia, for instance, from which you can reach 7 countries (🇸🇮🇦🇹🇮🇹🇭🇷🇭🇺🇸🇰🇨🇿) -> chronotrains.com/?zoom=6.2&lng=
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« Histoire du bâti parisien »
Passionnante cartographie de l'âge des bâtiments parisiens, ou comment raconter l'histoire de la ville et de son développement en une carte, par
comeetie.fr/galerie/BatiPa
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You post your site – it goes viral.
But will your framework/infrastructure be able to handle millions of new visitors?
was able to ship his viral project Chronotrains with on and go relax on vacation 🤯
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I open-sourced Chronotrains: github.com/benjamintd/chr
There's still some cleaning-up to do, but better now than never!
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The first conclusions from my #CrossBorderRail project are now out - 20 projects that would be comparatively simple and quick to implement that would make a positive change to international rail within 🇪🇺
This is for you !
Summary in the 🧵
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It's all cached at the edge thanks to the Vercel CDN. The base map is also super fast with the tiles hosted at .
the interactions feel as fast as when developing locally, that's insane.
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chronotrains had over a million visits and around 80 million isochrones requests in the past couple weeks.
thankfully, after some help from to get the infrastructure right on launch day, I never had to think about load, response times, etc.
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Very proud of having my map forwarded twenty times to Tom. Thanks for the shootout.
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Very proud of my personal brand now as about the twentieth person forwards me the European rail network isochrones. (which are amazing).
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Adding the assumption that interchanges / connections are 20 minutes, we can see all the stations that a reachable from a given city in 5h.
(since there is no guarantee that trains will connect perfectly, the map tends to be overly optimistic)
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Since walking and local transit options are not included, we add some connections to the graph to account for buses, walking, biking...
For instance, you can easily walk from Paris Gare de l'Est to Gare du Nord in a few minutes.
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The data comes from direkt.bahn.guru, which sources it from .
It gives us the direct trains from any station in Europe (as long as it's reacheable from Germany).
From this we can build a graph of stations with travel durations between them.
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This is a followup to this tweet: twitter.com/_benjamintd/st
where I used the isochrones provided by / . Here the methodology is a bit different.
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Si vous partez en train de ces villes aujourd'hui à 10h, jusqu'où pouvez-vous voyager avant 16h ?
L'API #digitalsncf (construite par @navitia) nous répond grâce à ses isochrones.
Notebook à explorer ici: observablehq.com/@benjamintd/ch
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You can see the discrepancies in access to rail mobility between cities, how certain high-speed connections are favored, how certain cities are isolated...
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Si vous partez en train de ces villes aujourd'hui à 10h, jusqu'où pouvez-vous voyager avant 16h ?
L'API #digitalsncf (construite par ) nous répond grâce à ses isochrones.
Notebook à explorer ici: observablehq.com/@benjamintd/ch
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1) We brought widgets to Figma!
Widgets are lil React apps you can embed in Figma files and collaboratively interact with, like native objects ✨
This was one of the top feature requests we got after we launched widgets in FigJam last fall.
twitter.com/figma/status/1
This Tweet is unavailable.
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A giant creature made entirely out of garbage and junk food
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Inspired by this tweet, I made a little app that shows OSM edits in near real time:
osm-live-changes.vercel.app
Of course I had to use the latest beta 🌍
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OSM gets updated every minute of every day. What would help you make sense of this firehose of geospatial data?
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I don't have access to 's Dalle2, but I already know which prompts I'll try first once I do.
![Text generated by GPT-3
[prompt] Dalle2 is an AI that generates images, given prompts entered by the user. Here is the list of prompts that produced the 10 best images. The descriptions are very detailed, describe impossible situations, and produced images never seen before:
[answer] 1. A giant creature made entirely out of garbage and junk food.
2. A black hole that somehow also functions as a time machine.
3. A city that is completely abandoned and overgrown with plants.
4. An alien species that is able to change their appearance to blend in with humans.
5. A planet made entirely out of candy.
6. A school where all the students have superpowers.
7. A world where everyone has animal ears and tails.
8. A future world where cars can fly and people have telekinetic powers.
9. A magical kingdom where it is always summertime and there are no rules or laws.
10. An alternate universe where WWII never happened and Hitler won."](https://pbs.twimg.com/media/FQ8pq0SWUAUVBp7?format=jpg&name=medium)
read image description
ALT
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La même chose en tenant compte de l'abstention.
L'abstention, premier parti de France *dans les villes pauvres relativement peuplées*.
Les zones sont étonnamment nettes.
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