geum, to random French

jour 25 : Antarctica

Un simple comparatif des surfaces, avec quelques pays. Ce continent est vraiment grand ! J'espère ne pas m'être trompé en jouant avec les projections.

slava, to random


Day 25. Antactica
Antarctic Sea Ice Extent

seav, to random
@seav@en.osm.town avatar

🗺️ Day 2️⃣4️⃣: Black and white

(Just about caught up!) 😅

I guess I’m either being too literal or too cheeky with this map, but here we have a two-part image showing the Black Sea (colored in black with land areas in white) and the White Sea (colored in white with land areas in black) both drawn to the same scale (i.e., zone 37N).

All geographic data (coastlines, lakes, cities) come from ’s 1:10m vectors, rendered in , and combined in .

terence, to random
@terence@fosstodon.org avatar

Day 24: Black and white. Earthquakes from 1900 to 2017 around Antarctica. This is a backup idea—the first one took hours to render and I did not like the result, which was frustrating.

adventures, an tale

milvus, to random

(day 24. Black & white). All enthusiasts seem to love Penguins (at least as a toy dataset), so I made a map.

https://r.iresmi.net/posts/2023/black_white/

Map of the Adélie penguin distribution around Antarctica, in black and white

riverpeek, to random

Day 22 North is Not Up: Still catching up but this was a fun revision of some great code from USGS VizLab (see here: https://github.com/USGS-VIZLAB/chart-challenge-22/tree/main/11_circular_lkoenig). Not all rivers flow south! In CA the Mojave River flows nearly North for much of it's journey.

seav, (edited ) to random
@seav@en.osm.town avatar

🗺️ Day 2️⃣2️⃣: North is not always up 🧭

For this theme, I didn’t want to just turn the map 180° and then slap on a North arrow pointing down, or use a polar azimuthal projection.

So I finally settled on depicting an equirectangular world map where the , the direction towards 🕌 where praying Muslims face, is all up, making the Kaaba 🕋 this map’s “north pole”. The countries are in a choropleth coloring where 100% Muslim ☪️ population is dark blue and 0% is yellow.

1/2

digigeolab, to random

#30DayMapChallenge

Day 23 - 3D

Is #Flickr a global dataset?

Map by @christoph

terence, to random
@terence@fosstodon.org avatar

#30DayMapChallenge Day 23: 3D. Technically everything I've done so far is 3D—illuminated tubes, tiny illuminated spheres, big illuminated spheres, path traced shaded relief, 3D polygons. For unofficial #rayshader day, I decided to render the building heights of New York, New York.

seav, (edited ) to random
@seav@en.osm.town avatar

🗺️ Day 2️⃣1️⃣: Raster

(Still catching up!)

So I’m back again with my favorite map projection! I already had the code to reproject plate carrée source images and also Web Mercator tiles into my fave projection. I additionally had some code to composite 2 separate images based on the current day/night sides of the Earth. But I didn’t yet have the code to combine Web Mercator tiles with the day and night compositing. So I that’s what I did for Day 21’s theme!

1/2

geomenke, to random

Day 23: 3D part 2
Inspired by @hansakwast I did a quick experiment with the new support in 3.34. I used the ion plugin and flew around our office in Copenhagen using the Google Photorealistic 3D Tiles. Impressive!
I still need to work on getting the rendering to be sharper. Could be my wifi at home.

video/mp4

geomenke, to random

Day 23: 3D
A 3D flythrough over Møns Klint, one of the most spectacular sites in Denmark. Done in :qgis:

video/mp4

stevefaeembra, to blender
@stevefaeembra@mapstodon.space avatar

Day 23 "3D"

Comparing the size of Valles Marineris on Mars with North America.

This canyon is 2500 miles long. To put into context, that's about the width of the US or Australia, or the length of Chile.

gontsa, to random Ukrainian

Day 22: North is not always up
The Fra Mauro map
This is a modern light interpretation of this map, centered not on the Arabian Peninsula but in Ukraine :-)

ursula, to random

for day 21 (raster) of the , i used and elevatr to build a raster of the highest georgian peaks in the greater caucasus mountain range. code: https://github.com/ursulams/thirtydaysofmaps/tree/main/2023/raster

jcarlson, to random
@jcarlson@mapstodon.space avatar
nmp, to random

Day 22: "North is not always up"

A quick one for today. I finally got an excuse to use the extremely wacky Fuller/Dymaxion map projection for something 🙃

stevefaeembra, to random
@stevefaeembra@mapstodon.space avatar

Day 22 "North is not always up"

This is an attempt at a modern day interpretation of the T-O or Isidoran map from the 7th Century. Done in blender.

Asia in the top half, Europe and Africa quarters in the bottom.

It's an orthographic (hemispherical) projection centered on Jerusalem, with East at the top. The 'equator' roughly corresponds to the Nile and Don

seav, (edited ) to Philippines
@seav@en.osm.town avatar

🗺️ Day 2️⃣0️⃣: Outdoors 🏕️

(Still catching up!)

This is actually a tough category for me because for various reasons I am emphatically not an outdoors person! So this theme was something that I didn’t have any preconceived idea on what sort of map to create.

I finally decided to make a simple poster map of the ultras in the 🇵🇭. Ultras are summits ⛰️ which have a topographic prominence over 1500 meters. There are over 1500 worldwide and 29 in the country.

1/2

christyheaton, to random
@christyheaton@mas.to avatar

Day 22: North is not always up. World time zones starting at the North Pole. North is in the center. Made with . Data from .

terence, to random
@terence@fosstodon.org avatar

Day 22: North is not always up. Tried a few ideas that didn't work. Then learned that NASA's Blue Marble image was originally "south pole-up" but they flipped it so people wouldn't flip out. I chose not to do that here.

adventures, an tale

video/mp4

seav, to Philippines
@seav@en.osm.town avatar

🗺️ Day 1️⃣9️⃣: 5-minute map

(Still catching up!)

Is it cheating if I had already planned in my head exactly what I would do to create a map in 5 minutes and also had a practice run? 😜

Anyway, here’s a map of the 201 barangays, grouped into 20 zones then 2 districts, of the city of , in , 🇵🇭 as mapped in . I got the data from , used text editing to add some styling, then into geojson.io from where I took a screenshot.

1/2

jpamado, to photoshop

Day 21: Raster. 200 years of valley mapping. The valley of Alcântara in Lisbon, as it appears in several maps from 1806 onward, together with a current LiDAR-captured point representation.

Tools: CloudCompare, ,
Files: https://github.com/LX-Files/30DayMapChallenge/tree/main/2023/day21

DataAngler, to random
@DataAngler@vis.social avatar

For Day 1 of #30DayMapChallenge, I mapped 9 of the schools for Black children in northern Delaware when Delaware--there were more than 80 throughout the state when the state enforced racial segregation in schools. #rstats

Code: https://github.com/bardolater/30DayMapChallenge/blob/main/2023/01_Points

DataAngler,
@DataAngler@vis.social avatar

For Day 14 of , my map of Europe shows that western European countries have greater vaccination rates for --especially Spain and Portugal.

For this map, I found out how to use a bounding box, which results in Iceland being sliced in two. Apologies.

Code: https://github.com/bardolater/30DayMapChallenge/blob/main/2023/14_Europe.R

sig_uca, to guatemala Spanish

Students of the Data Visualization subject at UCA are participating in the #30daymapchallenge. Each day, a map created by a different student will be published.

Day 1: Points
Author: Altagracia Villegas

Touristic places of Guatemala & Mountains of El Salvador
Data 📁: MapCruzin/GADM
Tool ⚙️: #QGIS :qgis:

#Guatemala #ElSalvador #QGIS #30DayMapChallenge

sig_uca,

Day 24: Black & White
Author: Michelle Rodríguez

Parcelación Antiguo Cuscatlán

Data source 📁: Oficina de Planificación del Área Metropolitana de San Salvador (OPAMSS)
Tool ⚙️: :qgis:


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