Topi Tjukanov
@tjukanov
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Makes maps. Works at @Mapbox . Started #30DayMapChallenge .
Helsinki, Suomi
Joined November 2013
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Last Seen Profiles
8 hours of flight traffic over Europe animated. Looks quite busy, doesn't it?
Animated with
#QGIS
. Data from
@flightradar24
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#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 🌎🌎🌎
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431
1K
Animation showing how
#Amsterdam
has grown during the last 200 years. Buildings appear on the map on the year when they were built.
Data:
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443
1K
Baltic Sea traffic visualized. Version 3.0.
- 24 hours of data
- Ships are colored based on their home country ⛴️
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High(er) resolution version of Helsinki region public transport on a normal Monday afternoon from the
@HSLdevcom
API
Yellow = Tram 🚋
Blue = Train 🚂
Pink = Bus 🚎
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A map of Finland. In the blue areas the distance to the closest lake is less than 1 kilometer.
Data:
@Maanmittaus
, analysis: me + GDAL.
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🎉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:
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922
#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::
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Announcing
#30DayMapChallenge
in November 2019! Create a map each day of the month with the following themes 🌍🌎🌏
No restriction on tools. All maps should be created by you. Doing less than 30 maps is fine.
#gischat
#geography
#cartography
#dataviz
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Helsinki bubbling public transportation using live data from yesterday afternoon. Update to the old version now with metro locations included.
Blue = 🚃
Green = 🚂
Pink = 🚋
Yellow = 🚇
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#30DayMapChallenge
2023 themes are here for November🌎
Main guidelines: have fun, get inspired by beautiful maps, try to learn new things and support others!
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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
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I did a spatial analysis. Which is the closest neighboring country in different parts of Finland.
For no particular reason.
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Average mobile connection download speeds around Europe. Based on
@Speedtest
data aggregated to a larger hexagon grid.
#30DayMapChallenge
. Day 15: connections
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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.
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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.
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Finished version. How much area you can cover by car in one hour? A comparison between European capitals.
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The map about notable people went viral like no other map I've done before. Here's a thread 🧵
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Nighttime lights? Nope. It's aggregated mobile Internet speeds from the
@Speedtest
data. Work in progress.
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Global access to Internet mapped based on the
@Speedtest
data. Brighter colors indicate faster connections.
#30DayMapChallenge
day 7: green
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I published the pre-trained
#StyleGAN2
network pickle I created for
#mapdreamer
.
You can download it here:
Blog about the process:
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Finnish population cartogram. Shows pretty well how unevenly the country is populated.
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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
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All roads lead to
#Helsinki
. Shortest route to Helsinki from all postal codes in Finland. Inspired by
@moovelLab
, data from
@graphhopper
API
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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:
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Dear Twitter friends. Some personal news. On Saturday we became the proud parents of the most beautiful baby girl with
@nina_tjukanov
👶🏼
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I just published Places and their names — observations from 11 million place names
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#30DayMapChallenge
1. Points
One tiny point per 10 people found from the
@EU_Eurostat
population grid.
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Elevation around South America rendered using ETOPO1 data with
#Aerialod
.
#30DayMapChallenge
day 8: yellow.
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2020 version of 'Most common words in (all) place names describing nature in the US'
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Finally managed to update my personal website. Still needs a few tweaks, but definitely better than before:
🌎
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Twitter bot idea: random images from Wikipedia reprojected to web mercator.
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Highly important. Ratio between people and pigs in Finland in each municipality..
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#30DayMapChallenge
Day 1: Points representing windfarms around the globe. Point size == capacity.
Data: Global Wind Power Tracker, Global Energy Monitor, May 2022 release
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One more of my
@unfoldedinc
Studio experiments: 1.6 million GPS records of high-altitude flights of Himalayan vultures visualized in 3D:
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Baltic Sea traffic visualized version 2.0. This time with 12 hours of data.
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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.
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All the buildings in San Francisco in QGIS
#qlimt
style.
#30DayMapChallenge
Day 3: polygons.
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#30DayMapChallenge
2021 Day 1: Points
All parking tickets issued in Helsinki 2014-2021. About 1.5 million points. Data from
@HelsinkiKymp
:
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#QGIS
has a new feature called Temporal Controller.
I wrote a pretty extensive blog post on how to make animated maps with QGIS in 2020:
#geogiffery
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Individual trees as open data. This kind of datasets never stop to amaze me. This one is Toronto:
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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:
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Our project at
@gispofinland
for
@GrowthZoneFi
is out now completely!
Regional indicators, live traffic data and mobile location data visualized with
#KeplerGL
👇🏼
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Routes from San Francisco to everywhere in the West U.S.
Surprised how much this resembles the ones I've done earlier from Europe.
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ETOPO-1 + Sentinel-2 processed with
#QGIS
+
#Blender
. Combining my learnings from the excellent Blender tutorials by
@klaskarlsson
&
@pinakographos
.
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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.
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Finally the tutorial is online! I wrote a small blog on how to do animated routes with QGIS:
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Kansan kuva. Analysoin ja yhdistin parilla rivillä koodia kaikkien kansanedustajien kasvokuvat. Tältä näyttävät siis
#kansanedustajat
keskimäärin. Tämä naama herättää minussa valtaisaa luottamusta.
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#30DayMapChallenge
day 5: OpenStreetMap
A map of
#Tampere
, using the excellent prettymaps Python notebooks.
Find prettymaps here:
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A data visualization suitable for
#ValentinesDay
. 24 hour traffic isochrone heartbeat from the U.S. Who can name all the cities?
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What is on the other side of the globe? In case you are thinking about digging a long tunnel, this shows where you would end up.
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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:
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Data visualization from +100 years ago showing the value of industrial production in different sectors in Finland.
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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
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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 -->
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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) 👇👇👇
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Sunday visualization experiments:
- 24 hours of traffic through Danish straits on December 1st
- Bigger the ship name on the map, bigger the ship in real life
#QGIS
#OpenData
#UselessDataviz
#DataIsBeautiful
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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.
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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
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Seuraa äärimmäisen tärkeä tiedote: Suomessa on 569 paikannimeä joiden nimeen sisältyy sana paska.
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Buildings in Madrid 🇪🇸. Darker the shade of red, older the building.
Day 7 of
#30DayMapChallenge
.
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Q: "Is the data stored in a database?"
A: "Yes."
Q: "What kind of a database?
A: "A Word document."
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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:
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Where to find your zen? The most isolated point in Great Britain is located in Scotland and is 7.8 kilometers from the closest building. Here's a collection of 10 isolated points around GB 🇬🇧
For further information check:
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