Milan Janosov’s Post

This year's #30daymapchallenge has just reached its point, showingeat many gorgeous examples on maps of how to use geospatial data science and data visualisation to create incredible variations along a few fixed sets of topics! On a personal note, this has really been a challenge - many hours, ideas, ideas dropped and reconsidered, visualisations trashed and done again just to be trashed again, going back to old projects and exploring completely new domains, to finally be able to put together a map for each day of November. I also learned so much from my peers, sharing maps daily, so thank you for your hard work and, of course, for everybody's support and kind remarks on my maps! Map you next November! And now, a quick recap on my challenge - and I will soon be back with a more technical summary as well, focusing on tools and data sources. So, this year, I made and shared the following maps: Day 1 - Points - Global meteorite landing sites Day 2 - Lines - The road network of Budapest Day 3 - Polygons - World Map in Larrivee Projection Day 4 - A bad map - A nerdly colored hexagon grid of Germany Day 5 - Analog map - Halloween-map pumpkin Day 6 - Asia - Time zones of Asia Day 7 - Navigation - The road network of Ancient Rome Day 8 - Africa - Rivers of Africa Day 9 - Hexagons - Wildlife - mammalian co-habitat network Day 10 - North America - Road network of North America Day 11 - Retro - Defibrillator accessibility map on Budapest Day 12 - South America - Economic complexity map of South America Day 13 - Choropleth - Green area per capita in Vienna Day 14 - Europe - Population grid based on WorldPop Day 15 - OSM - Top touristic sights using prettymaps Day 16 - Oceania - Coastlines of Oceania using lightsaber line plots Day 17 - Flow - Country-level network of the global chocolate trade Day 18 - Atmosphere - Global temperature maps Day 19 - 5 minutes map - The road network of Manhattan Day 20 - outdoors - Satellite footage of the Upsala Glacier Day 21 - raster - NDVI map of Zurich Day 22 - north is not always up - Map of the global magnetic field Day 23 - 3D - Building height map of downtown Budapest Day 24 - black and white - Ridge map of Italy Day 25 - Antarctica - SAR image of Antarctica Day 26 - minimal - Elevation contour map of Budapest Day 27 - dot - A strange population map of Budapest Day 28 - map or chart - Road network directedness of European cities Day 29 - population - Global population map based on WorldPop Day 30 - “my favourite...” - 
Top livable cities road network map coloured by ChatGPT 𝐀𝐥𝐥 𝐜𝐨𝐝𝐞 𝐚𝐧𝐝 𝐨𝐭𝐡𝐞𝐫 𝐭𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬: https://ow.ly/sI5H50Qbk51 Also, my summaries on Towards Data Science: Week 1: https://ow.ly/kkWQ50Qbk53 Week 2: https://ow.ly/L4j950Qbk50 Week 3: https://ow.ly/gV7T50Qbk52 Week 4: https://lnkd.in/dPWNBUma #gis #datascience #maps #geospatialdata #datavisualization #spatialanalytics #spatialdata