Day 12 of #100DayMapChallenge: Projected Time Zones 🌐

Same dataset - countries grouped by 6-hour time zones - rendered through 8 projections: Van der Grinten, Eckert III, Eckert V, Sinusoidal, Mollweide, Cassini, Equidistant Conic, Polyconic.

Each preserves something, distorts something else. Area, shape, distance, direction. You can never keep all four.

A projection is always a decision. Most maps hide it. This one makes it visible.

https://maptheclouds.com/playground/30-day-map-challenge/earthnotflat/

#QGIS #Cartography #NaturalEarth

#30DayMapChallenge Day 22 – Data: Natural Earth 🌍

⏳ With limited time I used my own tutorial to make a population map in #QGIS using #NaturalEarth. A simple workflow that shows how accessible this dataset is, with styling tips for varying point sizes and a neat collapsed legend in Print Layout.

🔗 Tutorial: https://courses.gisopencourseware.org/mod/book/view.php?id=1007

🎥 YouTube:
👉 Symbolizing points: https://youtu.be/0PEZ8dUNCJk
👉 Collapsed legend: https://youtu.be/hxzNOf3ppbQ

For the nineteenth #30MapsInAMonth are a set of map using different coordinate system projections of Natural Earth railway data https://www.naturalearthdata.com/

The four maps represent points on the oblate-spheroid that is the Earth on a surface. The first uses latitude and longitude in °, the rest are in meters. The second is commonly used on the web, the third a projection for Europe and the final is the UK Ordnance Survey map projection.

#rail #WorldMap #NaturalEarth #Coordinates #30dayMapChallenge

#30DayMapChallenge Day 19: Projections 🍊🌍

Ever tried peeling an orange and laying it flat? It cracks apart, just like the Earth when we project it onto a map.

So today I made a world map out of orange peel, styled in a polar stereographic projection. Made in #QGIS with #NaturalEarth data.

#Cartography #GIS #MapProjections #DataViz