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#naturalearth — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #naturalearth, aggregated by home.social.

  1. So many to choose from: In his latest post, Mark Litwintschik compares a range of global administrative #boundary datasets, from #OpenStreetMap to #NaturalEarth, assessing geometric #accuracy, data #completeness, and information content. The analysis, powered by #DuckDB...
    spatialists.ch/posts/2025/12/1 #GIS #GISchat #geospatial #SwissGIS

  2. So many to choose from: In his latest post, Mark Litwintschik compares a range of global administrative #boundary datasets, from #OpenStreetMap to #NaturalEarth, assessing geometric #accuracy, data #completeness, and information content. The analysis, powered by #DuckDB...
    spatialists.ch/posts/2025/12/1 #GIS #GISchat #geospatial #SwissGIS

  3. So many to choose from: In his latest post, Mark Litwintschik compares a range of global administrative #boundary datasets, from #OpenStreetMap to #NaturalEarth, assessing geometric #accuracy, data #completeness, and information content. The analysis, powered by #DuckDB...
    spatialists.ch/posts/2025/12/1 #GIS #GISchat #geospatial #SwissGIS

  4. So many to choose from: In his latest post, Mark Litwintschik compares a range of global administrative #boundary datasets, from #OpenStreetMap to #NaturalEarth, assessing geometric #accuracy, data #completeness, and information content. The analysis, powered by #DuckDB...
    spatialists.ch/posts/2025/12/1 #GIS #GISchat #geospatial #SwissGIS

  5. So many to choose from: In his latest post, Mark Litwintschik compares a range of global administrative #boundary datasets, from #OpenStreetMap to #NaturalEarth, assessing geometric #accuracy, data #completeness, and information content. The analysis, powered by #DuckDB...
    spatialists.ch/posts/2025/12/1 #GIS #GISchat #geospatial #SwissGIS

  6. For the nineteenth are a set of map using different coordinate system projections of Natural Earth railway data 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.

  7. #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. World map out of orange peel, styled in a polar stereographic projection. Made in #QGIS with #NaturalEarth data.

  8. 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 with data.

  9. The base map is from 1:10m #NaturalEarth. Map rendering is via the browser using #D3js and #GIMP for compiling the GIF animation.

    The Sun position calculation is adapted from #Wikipedia and #Turfjs is used to generate the terminator line from the Sun’s position.

    en.wikipedia.org/wiki/Position
    en.wikipedia.org/wiki/Equation

    🧵 2/2

  10. The base map is from 1:10m #NaturalEarth. Map rendering is via the browser using #D3js and #GIMP for compiling the GIF animation.

    The Sun position calculation is adapted from #Wikipedia and #Turfjs is used to generate the terminator line from the Sun’s position.

    en.wikipedia.org/wiki/Position
    en.wikipedia.org/wiki/Equation

    🧵 2/2

  11. The base map is from 1:10m #NaturalEarth. Map rendering is via the browser using #D3js and #GIMP for compiling the GIF animation.

    The Sun position calculation is adapted from #Wikipedia and #Turfjs is used to generate the terminator line from the Sun’s position.

    en.wikipedia.org/wiki/Position
    en.wikipedia.org/wiki/Equation

    🧵 2/2

  12. The base map is from 1:10m #NaturalEarth. Map rendering is via the browser using #D3js and #GIMP for compiling the GIF animation.

    The Sun position calculation is adapted from #Wikipedia and #Turfjs is used to generate the terminator line from the Sun’s position.

    en.wikipedia.org/wiki/Position
    en.wikipedia.org/wiki/Equation

    🧵 2/2

  13. The base map is from 1:10m #NaturalEarth. Map rendering is via the browser using #D3js and #GIMP for compiling the GIF animation.

    The Sun position calculation is adapted from #Wikipedia and #Turfjs is used to generate the terminator line from the Sun’s position.

    en.wikipedia.org/wiki/Position
    en.wikipedia.org/wiki/Equation

    🧵 2/2

  14. Day 4 – Data: My Data
    🌍 Every year, a colleague asks me to map the geographic distribution of new MSc students in Water & Sustainable Development at IHE Delft. This year, I used + polygons + plugin to create a showing where our students come from. A beautiful dataset that reflects our global classroom!

  15. #30DayMapChallenge 🗺️ Day 1️⃣4️⃣: A world map

    Normally I would render a world map in my favorite Cahill–Concialdi projection, but I figured, why not continue to use Day 13’s new tool #D3js and render a world map in a vintage two-hemisphere #stereographic projection? (Yeah, this could also fit into Day 7’s theme.)

    I am rather pleased with how this turned out. 😀

    You can view the live D3-powered map here: 30dmc.sector4f.com/map/2024-11

    Base map is from #NaturalEarth’s 1:50m Cultural Vectors.

  16. #30DayMapChallenge 🗺️ Day 1️⃣4️⃣: A world map

    Normally I would render a world map in my favorite Cahill–Concialdi projection, but I figured, why not continue to use Day 13’s new tool #D3js and render a world map in a vintage two-hemisphere #stereographic projection? (Yeah, this could also fit into Day 7’s theme.)

    I am rather pleased with how this turned out. 😀

    You can view the live D3-powered map here: 30dmc.sector4f.com/map/2024-11

    Base map is from #NaturalEarth’s 1:50m Cultural Vectors.

  17. #30DayMapChallenge 🗺️ Day 1️⃣4️⃣: A world map

    Normally I would render a world map in my favorite Cahill–Concialdi projection, but I figured, why not continue to use Day 13’s new tool #D3js and render a world map in a vintage two-hemisphere #stereographic projection? (Yeah, this could also fit into Day 7’s theme.)

    I am rather pleased with how this turned out. 😀

    You can view the live D3-powered map here: 30dmc.sector4f.com/map/2024-11

    Base map is from #NaturalEarth’s 1:50m Cultural Vectors.

  18. #30DayMapChallenge 🗺️ Day 1️⃣4️⃣: A world map

    Normally I would render a world map in my favorite Cahill–Concialdi projection, but I figured, why not continue to use Day 13’s new tool #D3js and render a world map in a vintage two-hemisphere #stereographic projection? (Yeah, this could also fit into Day 7’s theme.)

    I am rather pleased with how this turned out. 😀

    You can view the live D3-powered map here: 30dmc.sector4f.com/map/2024-11

    Base map is from #NaturalEarth’s 1:50m Cultural Vectors.

  19. #30DayMapChallenge 🗺️ Day 1️⃣4️⃣: A world map

    Normally I would render a world map in my favorite Cahill–Concialdi projection, but I figured, why not continue to use Day 13’s new tool #D3js and render a world map in a vintage two-hemisphere #stereographic projection? (Yeah, this could also fit into Day 7’s theme.)

    I am rather pleased with how this turned out. 😀

    You can view the live D3-powered map here: 30dmc.sector4f.com/map/2024-11

    Base map is from #NaturalEarth’s 1:50m Cultural Vectors.

  20. My #Day24 map for the #30DayMapChallenge (Black & White, only two colors allowed). Shows #OSM waterways and #NaturalEarth boundary data for India. Thankful for #Geofabrik #OpenStreetMap and #NaturalEarth for hosting and serving accessible data.

    #India #waterways #mapping #BlackAndWhite #arcpro

  21. 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: peaklist.org/WWlists/ultras/ph

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