terence, to random
@terence@fosstodon.org avatar

#30DayMapChallenge Day 28: Chart or map? I confess—this was challenging and I'm not sure if it fits today's theme. But it's my first cartogram! Here's the global state of liberal democracy in 2022 where each country's size is distorted relative to its value of liberal democracy.

mapologies, to random
@mapologies@mastodon.social avatar

Day 28 - The 28th Map 🗺️ of
Is this a map or chart?
We will let you decide, but do not forget to search "undecempoint" or "undecipoint"

https://mapologies.com/

gontsa, to random Ukrainian

Day 27: Dot
#30DayMapChallenge
Density of settlements in Ukraine

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

#30DayMapChallenge 🗺️ Day 2️⃣7️⃣: Dot 🔵

Who says maps have to be of the Earth? Today’s map is the night sky as it looks right about now (approximately midnight over Manila, #Philippines 🇵🇭) with the stars as our titular dots! 🌌🌟

(The full Moon 🌕 and Jupiter ♃ are actually both prominently visible too, but I didn’t want to add them to this map. Stars are the stars now!)

Data source from D3.js Celestial: https://github.com/ofrohn/d3-celestial

Map rendered with #QGIS and prepared with #GIMP.

ryanahart, to random

#30DayMapChallenge 🗺️ | Day 27 | Dot

some trees in Plaza Midwood, Charlotte NC

the dots represent 285 trees , representing 55 types of trees, ranging in size using DBH from 0-3 inch to >30 inch in size

code: https://github.com/curatedmess/30DayMapChallenge/blob/main/2023/11272023/clt_trees.R

#rstats

christyheaton, to Seattle
@christyheaton@mas.to avatar

#30DayMapChallenge Day 27: Dot. The three most common native trees in Seattle, according to SDOT's tree database. Bigleaf maple, Douglas fir, and Redcedar. Thanks to @cascadepine for identifying all the native species. Made with Python, GeoPandas, and PyScript. https://cheaton.pyscriptapps.com/30daymapchallenge-day27/latest/

#Seattle #trees #nativeplants

smach, to rstats
@smach@masto.machlis.com avatar
thomasw,

@smach

This is super cool! Is there an option for bike and walk isochrones as well?

@rstats

#rstats #RSpatial #GIS #30DayMapChallenge

thomasw,

@smach

Found my answer: https://walker-data.com/mapboxapi/reference/mb_isochrone.html

> profile
> One of "driving", "walking", "cycling", or "driving-traffic". "driving" is the default.

@rstats

#rstats #RSpatial #GIS #30DayMapChallenge

terence, to random
@terence@fosstodon.org avatar

#30DayMapChallenge Day 27: Dot. Yet another earthquake map but this time, I went bigger with South America. Over 96,000 earthquakes (> M2.5) between 1923 and 2023.

#rayshader adventures, an #rstats tale

mapologies, to Dragonlance
@mapologies@mastodon.social avatar

Day 27 "Dots". In the 27th Map 🗺️ of There are 175 world's (where three countries meet), now you can see them in one single . Does your have it?

https://mapologies.com/tripoint/


geomenke, to random

Day 27: Dot
Denmark or Dotmark? The dannebrog 🇩🇰 rendered in dots via the point pattern fill in :qgis:

stevefaeembra, to blender
@stevefaeembra@mapstodon.space avatar

#30daymapchallenge Day 26 "Dot"

A visual that looks like it came from behind a news desk in a low budget sci-fi movie 🙂 Prepped in #qgis, rendered in #blender

In :qgis: made a dot grid of 2 degrees resolution and a spatial join to natural earth, discarding non-joins. Viola!

Volumetrics meant I needed to use a perspective camera. So to include more of the south hemisphere I used a delta rotation of 11 degrees on X axis.

a globe. landmasses are shown as an array of dots which shine outwards with beams.

gontsa, to random Ukrainian

Day 26: Minimal
#30DayMapChallenge
The Great Meadow, current state of the Dnipro riverbed

terence, to random
@terence@fosstodon.org avatar

#30DayMapChallenge Day 26: Minimal. Railways of Finland. I'm out of ideas and motivation. Sick too, which doesn't help.

#rayshader adventures, an #rstats tale

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

#30DayMapChallenge 🗺️ Day 2️⃣6️⃣: Minimal

This map might not look as simple as you would expect given the theme, but I figured that #cartograms provide a minimal view of how “large” a set of regions are irrespective of their land area. For this map, we have a hexagonal (a la Day 9) cartogram of the number of councillors per electoral district of the House of Councillors, which is the upper chamber of #Japan’s 🇯🇵 National Diet. The 45 districts almost correspond with the 47 prefectures.

1/2

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

#30DayMapChallenge 🗺️ recap! Since I have completed 25 days already, which is a nice square number 🟦, what a better way to mark this with a square grid of the maps I have made so far?

It has definitely been a challenge but it was a fun experience and I learned a lot of new things and increased my cartography, data wrangling, coding, and graphic design skills! It’s also been a blast looking through other people’s submissions and learning about places, datasets, and tools.

Five 5️⃣ more days to go!

SK53, to random
@SK53@en.osm.town avatar

Antarctica for day 2️⃣ 5️⃣ of : a fanciful conjecture based on NISDC bedrock data. Subsidiary title should read "nor isostatic rebound nor sea level rise".

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

#30DayMapChallenge 🗺️ Day 2️⃣5️⃣: #Antarctica 🇦🇶

I wonder if I can get away with making a map about Antarctica but without showing any part of it! 😉

I managed to do just that by showing how involved the countries of the world are in the coldest continent! (Again I used my favorite #CahillConcialdi map projection—any guesses as to what I’ll be doing for Day 30? 😂)

The countries are classified along 4 axes...

1/3

terence, to random
@terence@fosstodon.org avatar

Another one for #30DayMapChallenge Day 25: Antarctica. This time it's the ocean fronts of Antarctica.

#rayshader adventures, an #rstats tale

terence, to random
@terence@fosstodon.org avatar

#30DayMapChallenge Day 25: Antarctica. Five historical expeditions to Antarctica.

#rayshader adventures, an #rstats tale

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 15 of #30DayMapChallenge I adapted a previous map to plot the roads in my old town of Iowa City, IA. Just so that I could see the grid layout that is bike friendly. I plotted all of the roads with the "highway" feature because it is tricky to find a ll the tags for basic streets. #rstats

Code: https://github.com/bardolater/30DayMapChallenge/blob/main/2023/15_OpenStreetMap.R

DataAngler,
@DataAngler@vis.social avatar

For Day 16 of #30DayMapChallenge, I cranked out a map of the population in Australian states (territories?) in 2023. Really love how the Australian Bureau of Statistics makes shapefiles and data easy to find.

But I could not get my labels to work in this one....#rstats

Code: https://github.com/bardolater/30DayMapChallenge/blob/main/2023/16_Oceania.R

awoodruff, to random
@awoodruff@mapstodon.space avatar

I’ll attempt the #30DayMapChallenge this year! I plan to use it for the personal challenge of trying something—even if it’s a tiny something—I’ve rarely or never done before, be it a map style, a GIS function, or whatever else. Perhaps I’ll document those things at the end, but meanwhile…

awoodruff,
@awoodruff@mapstodon.space avatar

Fell a few days behind on #30DayMapChallenge… here’s day 22, North is not always up. Recently I made a map of the 2024 eclipse oriented so that the path of totality is vertical for scrolling: https://andywoodruff.com/posts/2023/eclipse-2024/. So here’s a snippet of the same map oriented for the 2017 eclipse. (This did, at least, require re-rendering shaded relief with a different lighting direction, and moving a few labels.)

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