#30DayMapChallenge Day 30: My favorite. These are populated places with "cat" in the name, using the heart-shaped Bonn projection, representing my love for maps and cats. Made with #QGIS. Data from #NaturalEarth.
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? 😂)
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., #UTM zone 37N).
All geographic data (coastlines, lakes, cities) come from #NaturalEarth’s 1:10m vectors, rendered in #QGIS , and combined in #GIMP.
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 #qibla, the direction towards #Mecca 🕌 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.
This map also differs from the usual azimuthal qibla maps centered on Mecca like this one: https://commons.wikimedia.org/wiki/File:Mecca_Direction_Equidistant.jpg
I’m not sure if my map is actually more helpful (like how #SaudiArabia 🇸🇦 is now unrecognizable) but I do think it goes in a very interesting direction (pun intended). 😁
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 #Philippines 🇵🇭. Ultras are summits ⛰️ which have a topographic prominence over 1500 meters. There are over 1500 worldwide and 29 in the country.
For the first time this challenge, I fully used #QGIS to render the map. In previous maps, I would create a simple HTML+JS-based map or do the final polishing in GIMP or Inkscape. This time, I used QGIS to render and style symbols+labels, and used the Print Layout feature to add the surrounding texts.
#30DayMapChallenge Day 22: North is not always up. World time zones starting at the North Pole. North is in the center. Made with #QGIS. Data from #NaturalEarth.
A sad chapter in the history of Oceania are the hundreds of nuclear tests that have been conducted by the #UnitedStates 🇺🇸, the #UnitedKingdom 🇬🇧, and #France 🇫🇷. This map shows the locations in #Australia 🇦🇺, the #MarshallIslands 🇲🇭, #Kiribati 🇰🇮, and #FrenchPolynesia 🇵🇫 where these three nations have detonated nuclear devices along with estimated yields in kilotons of TNT equivalent. #Hiroshima and #Nagasaki are also shown for comparison.
I guessed that most mappers would of course be rendering maps made from OSM data. But because I live and breathe OSM (I even served on the Foundation Board for 2 years!) and I don’t want to go with the bandwagon, I decided to map OSM metadata instead!
Here is a map of the bounding boxes of almost all of my 349 OSM changesets for 2023 which is obviously all over my country the #Philippines 🇵🇭.
For today’s theme, here are the locations with photos of all known and extant #HistoricalMarkers (aka commemorative plaques) found in Europe that were created by the National Historical Commission of the #Philippines (#NHCP). It turns out that these are all related to our national hero José Rizal since he traveled extensively in Europe.
(I was fortunate enough to visit the 2 markers in Germany and would love to visit the rest!)
Base map source: #NaturalEarth’s 1:10m cultural vectors
Photo credits (all from #WikimediaCommons):
▪︎ Berlin marker by myself / CC0
▪︎ Wilhelmsfeld marker by myself / CC0
▪︎ Vienna marker by GuentherZ / CC BY 3.0
▪︎ Ghent marker by Paul Drieghe / CC BY-SA 3.0
▪︎ Brussels marker by Michel wal / CC BY-SA 3.0
▪︎ Paris marker by Celette / CC BY-SA 4.0
For today, I wanted to do something simple and whimsical.
There’s a lot of rumblings online because Taylor Swift’s wildly successful The Eras Tour is not coming to this or that country. So while I’m not a Swiftie, here’s a map (in my favorite #CahillConcialdi projection) showing which 20 countries currently have tour dates. As you can expect, the usual countries are there and Africa is noticeably absent.
This is a map of the locations of the four facilities of the European Southern Observatory in northern #Chile 🇨🇱. South America’s unique geography sees it being rarely visited by tropical cyclones and the central Andes is also an effective rain shield making Chile’s #Atacama Desert 🏜️ the driest hot place on Earth. This area is thus an ideal location to host telescopes due to its clear weather. ☀️
And since I already had some #JavaScript code³ to render country polygons from #NaturalEarth I figured it would be simple to just add more code to map the countries’ scores to the correct colors.
I created a function that takes a country’s 2 scores and return a CSS RGB string representing the bivariate color. For this I used the brewer.seqseq2 color scheme⁴ but interpolated from 3×3 classes into 5×5.