Alexis

#30DayMapChallenge
Day 24: Places and their names

I wanted to try something... but it needs a bit more work :-)

YouTube video by Chiara Phillips How to Animate Copernicus Wind Data in QGIS

#30DayMapChallenge Day 22/23, Natural Earth & Process

Uploaded a tutorial of how I made my typhoon map using data from Natural Earth and Copernicus, check it out: m.youtube.com/watch?v=efiG...

Create a Joy Plot Map in QGIS In this Workflow, I will show you how I created a Joy Plot style map from the 2025 30DayMapChallenge. There are multiple ways to achieve this; however, this method worked best for me. Tools Needed …

Day 23 - Process
Create a Joy Plot Map in QGIS

I created a workflow for creating a Joy Plot Map in QGIS. I plan on adding more workflows or tutorials in the future.

antonioantoine.com/2025/11/23/c...

#30DayMapChallenge

Hey that's really nice, I wanted to learn to make one!

Day 22 of #30DayMapChallenge ~ Natural Earth.

The Bathymetry of Lake Victoria.

#rstats #dataviz #gis #map #spatial

#30DayMapChallenge
Day 23: Process

I used QGIS to create one image per year, and then turned them into an animation using ffmpeg.

The command used here to turn all the .png of the folder into one video:

ffmpeg -pattern_type glob -framerate 2 -i "*.png" -c:v libx264 -pix_fmt yuv420p output.mp4

#30DayMapChallenge
Day 22: Data challenge: Natural Earth

#30daymapchallenge | Day 22 Data: Natural Earth | The Great Islands

Earlier this summer I finished this print version of my map from last year depicting our Great Lakes as islands. Been trying to learn more about lighting techniques in Blender—I think this was a big leap forward from 2024 version!

#30DayMapChallenge
Day 21: Symbols

Side by side comparison, 1993-2023

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Day 20: Water

Average (surface) temperature of the Baltic Sea from 1993-2023.

Data from @copernicusmarine.bsky.social

#30DayMapChallenge
Day 19: Projections

Not very inspired on this one, so a map of the world's roads (natural earth data).

Made on Blender, using HiRISE data.

www.uahirise.org/dtm/ESP_0743...

#30DayMapsChallenge
Day 18: Out of this world

Water on Mars?!

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Day 17: A new tool

Played around with #rayshader to look at Mont Rainier (Washington).

I spent much more time choosing the palette than making the map ahah, I ended up using this one:

colorbrewer2.org?type=qualita...

Visualizing big spatial data: hexbins with QGIS & PostGIS • Gispo Visualizing spatial data with high volumes in an informative way can be tricky. One trick I have used quite a bit is that I have turned the points in QGIS

This map was mostly inspired by this article, I really like how the visualization looks.

www.gispo.fi/en/blog/visu...

#30DayMapsChallenge
Day 16: Cell

Mapped the most frequent natural-feature words in French commune names.

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Day 15: Fire

No problem :)

I'm not sure I understand your question about the thickness of lines - I simply got the street layer from OSM and styled it all the same size :)

#30DayMapChallenge
Day 14: Data challenge: OpenStreetMap

Let's have a look at trees in Vienna!

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Day 13: 10 minute map
(This might have taken slightly longer, I blame it on QGIS).

#30DayMapChallenge
Day 12: Map from 2125
What if all of Greenland's ice melted?

For today I played around with Greenland’s terrain elevation data beneath the ice sheet.

Note: This visualization doesn’t account for post-glacial rebound or sea-level rise.
Data from nsidc.org/data/idbmg4/...

Absolutely!

Data from
@worldpop-uos.bsky.social
Link: hub.worldpop.org/geodata/summ...

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Day 11: Minimal map
Population in Iceland: coast vs interior.

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Day 10: Air
An attempt at visualizing pollen distribution in Europe, based on EUPollMap doi.org/10.5281/zeno...

Made using QGIS and Python.

#30DayMapChallenge
Day 9: Analog

A quick map of Nuuksio National Park, near Helsinki.

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Day 8: Urban

For today I went for a simple map of the cycling infrastructure in Tallinn, Riga and Vilnius. Data from @ecf.com