#mapzen — Public Fediverse posts

#30DayMapChallenge Day 20: Water 🌊 No time for complexity today, so I made Invearth. By simply flipping the hillshade to Southeast in #QGIS with the #Mapzen Global Terrain layer, the Himalayas became the deepest trench and oceans turned into habitable land.

#30DayMapChallenge Day 20: Water 🌊 No time for complexity today, so I made Invearth. By simply flipping the hillshade to Southeast in #QGIS with the #Mapzen Global Terrain layer, the Himalayas became the deepest trench and oceans turned into habitable land.

#30DayMapChallenge Day 20: Water 🌊

No time for complexity today, so I made Invearth. By simply flipping the hillshade to Southeast in #QGIS with the #Mapzen Global Terrain layer, the Himalayas became the deepest trench and oceans turned into habitable land. A small tweak, but the result is an imaginary Earth that feels both alien and strangely possible.

#30DayMapChallenge Day 20: Water 🌊

No time for complexity today, so I made Invearth. By simply flipping the hillshade to Southeast in #QGIS with the #Mapzen Global Terrain layer, the Himalayas became the deepest trench and oceans turned into habitable land. A small tweak, but the result is an imaginary Earth that feels both alien and strangely possible.

#30DayMapChallenge Day 20: Water 🌊

No time for complexity today, so I made Invearth. By simply flipping the hillshade to Southeast in #QGIS with the #Mapzen Global Terrain layer, the Himalayas became the deepest trench and oceans turned into habitable land. A small tweak, but the result is an imaginary Earth that feels both alien and strangely possible.

#30DayMapChallenge Day 20: Water 🌊

No time for complexity today, so I made Invearth. By simply flipping the hillshade to Southeast in #QGIS with the #Mapzen Global Terrain layer, the Himalayas became the deepest trench and oceans turned into habitable land. A small tweak, but the result is an imaginary Earth that feels both alien and strangely possible.

#30DayMapChallenge Day 20: Water 🌊

No time for complexity today, so I made Invearth. By simply flipping the hillshade to Southeast in #QGIS with the #Mapzen Global Terrain layer, the Himalayas became the deepest trench and oceans turned into habitable land. A small tweak, but the result is an imaginary Earth that feels both alien and strangely possible.

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.

Data sources:
▪︎ Base raster map and water outlines from #NaturalEarth
▪︎ DEM data for hillshading from #SRTM via #Mapzen’s terrain tiles
▪︎ Ultras data from Peaklist: http://www.peaklist.org/WWlists/ultras/philippines.html

2/2

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.

Data sources:
▪︎ Base raster map and water outlines from #NaturalEarth
▪︎ DEM data for hillshading from #SRTM via #Mapzen’s terrain tiles
▪︎ Ultras data from Peaklist: http://www.peaklist.org/WWlists/ultras/philippines.html

2/2

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.

Data sources:
▪︎ Base raster map and water outlines from #NaturalEarth
▪︎ DEM data for hillshading from #SRTM via #Mapzen’s terrain tiles
▪︎ Ultras data from Peaklist: http://www.peaklist.org/WWlists/ultras/philippines.html

2/2

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.

Data sources:
▪︎ Base raster map and water outlines from #NaturalEarth
▪︎ DEM data for hillshading from #SRTM via #Mapzen’s terrain tiles
▪︎ Ultras data from Peaklist: http://www.peaklist.org/WWlists/ultras/philippines.html

2/2

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.

Data sources:
▪︎ Base raster map and water outlines from #NaturalEarth
▪︎ DEM data for hillshading from #SRTM via #Mapzen’s terrain tiles
▪︎ Ultras data from Peaklist: http://www.peaklist.org/WWlists/ultras/philippines.html

2/2