Did you know Freddie Mercury was born in Zanzibar and Barack Obama in Honolulu? Who is the most famous person from your home town?
I made a map of the most notable people around the world. Built with
@Mapbox
.
Check it out here:
🧵
#30DayMapChallenge
categories for 2022 are here! 🎉
Daily open map challenge happening in November. No restriction on tools or data. No need to register anywhere. Just an excuse to make maps and admire maps made by others 🌎🌎🌎
2018 remake of my accessibility visualization. Rush hour travel times from my home to everywhere in Helsinki region with different modes of transport:
- Pink = Car
- Yellow = Public transportation
- Green = Bike
Made with
#PostGIS
+
#QGIS
High(er) resolution version of Helsinki region public transport on a normal Monday afternoon from the
@HSLdevcom
API
Yellow = Tram 🚋
Blue = Train 🚂
Pink = Bus 🚎
🎉Categories for
#30DayMapChallenge
2021 🎉
Join in to create maps around these themes. Use your creativity and share your results with others! Starts 01/11/2021.
More information:
#30DayMapChallenge
2020 categories are here. Starting November 1st! 🎉🎉
Publish a map each day with the following themes. No restriction on tools or data, but all maps should be made by you. Doing less than 30 is fine too.
More info::
Helsinki bubbling public transportation using live data from yesterday afternoon. Update to the old version now with metro locations included.
Blue = 🚃
Green = 🚂
Pink = 🚋
Yellow = 🚇
#30DayMapChallenge
2023 themes are here for November🌎
Main guidelines: have fun, get inspired by beautiful maps, try to learn new things and support others!
Finally I have a portfolio online showcasing what I've been doing lately with lines, points and polygons. Check it out and let me know what you think!
You can find the site at
Average mobile connection download speeds around Europe. Based on
@Speedtest
data aggregated to a larger hexagon grid.
#30DayMapChallenge
. Day 15: connections
One week of train traffic in Finland (4,5 million GPS points) compressed into one small animation. The color and size of the points change with the speed of the train.
15 minute (!) snapshot of public transport around Helsinki this morning. Created with
@HSLdevcom
data.
Each dot is a bus, train or a tram. To give it a more dynamic look, the size changes slightly according to speed.
I exported all of my collected running, walking and cycling gpx tracks and created an animation with
#QGIS
. This is how it would look if all of them would start at the same time.
Refugees and asylum-seekers who have died or gone missing in the process of migration towards Europe between 2014 and 2020. A minimum estimate, as many deaths during migration go unrecorded.
Data:
@MissingMigrants
//
@IOM_GMDAC
Ultimate 'Nearest Neighbour Analysis' is now complete! Which is your closest neighboring country (anyhwere on the globe)?
View the interactive map here 👇🏼👇🏼👇🏼
Or make a better version with the data:
The
#30DayMapChallenge
is back on Nov 1! 🎉
Over 50,000 maps have been created in this challenge so far, and I can’t wait to see what everyone comes up with this year.
Check out the prompts and more details at
#QGIS
cartoon style: Qartoon.
The structure is simpler than you might think, but you can load the style XML here and add to your own QGIS via Style Manager:
#30DayMapChallenge
Day 1: Points representing windfarms around the globe. Point size == capacity.
Data: Global Wind Power Tracker, Global Energy Monitor, May 2022 release
For some people cartography seems to be like classical music. Strict rules how to do things. If you’re not qualified, don’t do it.
For me cartography is like punk. If you’ve found the instruments, just fucking play.
Ok... So I did a few more vintage isochrones from some very different cities. 5½ hours of travel looks very different in Chicago, Cairo, Mumbai, Mexico City and Tromsø.
Full sized maps on my website:
Population change in southern Finland between 2005 and 2018. In the red 1 x 1 km squares population has decreased with more than five people and in the yellow squares there has been similar increase.
#30DayMapChallenge
Day 23: population.
Kansan kuva. Analysoin ja yhdistin parilla rivillä koodia kaikkien kansanedustajien kasvokuvat. Tältä näyttävät siis
#kansanedustajat
keskimäärin. Tämä naama herättää minussa valtaisaa luottamusta.
More typographic experiments with Danish ship data.
- 24 hours of ship traffic
- Size of ship name defined by a combination of vessel size and speed
- Direction of the name is defined by vessel's course
U.S. urban forms. How much land area you can cover by car in one hour. The circle around each city is 30 miles from starting point in city center. European version + more info:
How much does coordinate precision matter? Do you REALLY need those 15 decimals in your GeoJSON? Same location expressed with 0, 1, 2, 3, 4 and 5 decimals in WGS84 -->
I recently came across (HT
@vpkivimaki
) the National Archives collection of thousands of declassified CIA maps:
I made a thread about few maps which I found interesting from cartographic perspective
(1/n) 👇👇👇
Came across this piece of data by accident (sic) and just had to make a map out of it: if you have a vehicle accident in Finland, what animal are you most likely to hit in different parts of the country.
If you are in Denmark and want to get as far away from buildings as possible, this is the most isolated point 🇩🇰. It is located between Klitmøller and Hanstholm and is 4,4 kilometers from the closest building.
#QGIS
#solitudespot
#QGIS
cartography tip of the day: custom frames for your maps.
1. Add custom shape to your layout (e.g. ellipse)
2. Change shape color to black
3. Add map
4. Change map map blending mode to Addition (under rendering)
5. Profit!
I created a new
#QGIS
style called Zebra. Black & white stripe fill rotated based on the geometry orientation.
You can find the style file with previously published styles here:
5½ hour drive time isochrones from Frankfurt. Amazing how many major cities in Europe can be reached in this time.
I just had to do another one and add it to my portfolio:
Loaded some more public transport data. In this test the colors indicate how much behind (more red) or ahead (more blue) each vehicle is from the scheduled timetable.