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#30DayMapChallenge Day 1: Points Place names in Helsinki ending in “tie” (road), “kuja” (alley) and “katu” (street). Data from Kaupunkiympäristö open dataset.

#30DayMapChallenge Day 2: Lines Quick and simple map for the evening: the river network of Finland. Sometimes simplicity is beauty. Data from Suomen ympäristökeskus

#30DayMapChallenge Day 3: Polygons Inspired from Sauli Niinistö ’s speech at #COP26 about forests and calculated forest area percentage of each district in Helsinki (2019). Data from Kaupunkiympäristö

#30mapchallange Day 4: Hexagons A bit late, but inspired by Topi Tjukanov's day 1 map: parking tickets issued in Helsinki during 2020. Data: Kaupunkiympäristö

#30DayMapChallenge Day 5: OpenStreetMap Familiarizing myself with #QuickOSM plugin, decided to make a really simple map of my childhood home town Haukipudas, Oulu. What a handy plugin, one more tool just got added to my tool box!

Just got back home from field course at University of Helsinki’s #TaitaResearchStation. Two weeks full of incredible moments and new knowledge! Thank you Petri Pellikka 🇫🇮 Enrico Di Minin Ilja Vuorinne and the whole staff of the station for making this possible for us students even during Covid!

Yle: Yle ei lähetä osallistujaa Euroviisuihin, jos Venäjä on kilpailussa mukana. yle.fi/aihe/a/20-1000…

It’s that time of the year again! #30DayMapChallenge Day 1: points Sculptures and public art in downtown Helsinki (2022). Data from Kaupunkiympäristö and Helsingin kaupunki City Executive Office

#30DayMapChallenge Day 2: Lines Traffic amounts in Uusimaa region Finland in 2022. Data is Digiroad data by Väylävirasto.

#30DayMapChallenge Day 3: Polygons Last year on day 2 I made a map of all rivers in Finland, so this year I present you all lakes in Finland! The land of a thousand lakes. Data from Maanmittauslaitos

#30DayMapChallenge Day 5: Ukraine Farmlands and waters of #Ukraine. Data from OpenStreetMap. Shout out to Leo Niemi for helping with the data. #SlavaUkraini 🇺🇦

#30DayMapChallenge Day 8: OpenStreetMap data. #Nuuksio Nature reserve’s paths categorised by trail visibility. Data gathered with QuickOSM plugin for #QGIS.

#30DayMapChallenge Day 10: Bad Map A clear and easy to read map of Europe. What is this weird mixed feeling of pride, shame and utter disgust…

#30DayMapChallenge Day 11: Red Population density of Finland. Data is Tilastokeskus’ 5 km population grid data from 2021.

#30DayMapChallenge Day 12: Scale A simplified map of European Union made out of scales. 🇪🇺 Please note: the map is not in scale.

#30DayMapChallenge Day 13: 5 minute map A quick map about different building types in Helsinki, categorized with the first random colours that #QGIS offered. Data from Kaupunkiympäristö.

Itsenäisyyspäivän perinteinen viettäminen ylioppilaiden soihtukulkueessa oli tänä vuonna samalla ylennysten juhlistamista, terveisin tuoreet reservin ylikersantit 🇫🇮 Sakari Sarjakoski

Our contribution to the #30DayMapChallenge comes from Tuomas Väisänen 📼 🇺🇦 vis.social/@waeiski with special thanks to Oula Inkeröinen. The map shows the value of aggregation and edge-bundling for complex mobility data. The data and methods will be published openly in the near future as a part of the MOBI-TWIN.