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#rayshader — Public Fediverse posts

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

  1. Rivers and lakes of Wisconsin. I see the broken lines...turns out it takes more effort than I anticipated to resolve. I can fix the entire river, but it breaks when I intersect.

    Would appreciate any suggestions.

    adventures, an tale

  2. Rivers and lakes of Wisconsin. I see the broken lines...turns out it takes more effort than I anticipated to resolve. I can fix the entire river, but it breaks when I intersect.

    Would appreciate any suggestions.

    #rayshader adventures, an #rstats tale

    #wisconsin #rivers #lakes #dataviz

  3. Rivers and lakes of Wisconsin. I see the broken lines...turns out it takes more effort than I anticipated to resolve. I can fix the entire river, but it breaks when I intersect.

    Would appreciate any suggestions.

    #rayshader adventures, an #rstats tale

    #wisconsin #rivers #lakes #dataviz

  4. Rivers and lakes of Wisconsin. I see the broken lines...turns out it takes more effort than I anticipated to resolve. I can fix the entire river, but it breaks when I intersect.

    Would appreciate any suggestions.

    #rayshader adventures, an #rstats tale

    #wisconsin #rivers #lakes #dataviz

  5. Rivers and lakes of Wisconsin. I see the broken lines...turns out it takes more effort than I anticipated to resolve. I can fix the entire river, but it breaks when I intersect.

    Would appreciate any suggestions.

    #rayshader adventures, an #rstats tale

    #wisconsin #rivers #lakes #dataviz

  6. Land cover of India. This was edifying. I had no idea so much land was devoted to crops. I mean, I sorta knew but seeing it this way really hammered it home. This was also the render that drove me to pure GDAL for raster operations.

    adventures, an tale

  7. Land cover of India. This was edifying. I had no idea so much land was devoted to crops. I mean, I sorta knew but seeing it this way really hammered it home. This was also the render that drove me to pure GDAL for raster operations.

    #rayshader adventures, an #rstats tale

  8. Land cover of India. This was edifying. I had no idea so much land was devoted to crops. I mean, I sorta knew but seeing it this way really hammered it home. This was also the render that drove me to pure GDAL for raster operations.

    #rayshader adventures, an #rstats tale

  9. Land cover of India. This was edifying. I had no idea so much land was devoted to crops. I mean, I sorta knew but seeing it this way really hammered it home. This was also the render that drove me to pure GDAL for raster operations.

    #rayshader adventures, an #rstats tale

  10. Land cover of India. This was edifying. I had no idea so much land was devoted to crops. I mean, I sorta knew but seeing it this way really hammered it home. This was also the render that drove me to pure GDAL for raster operations.

    #rayshader adventures, an #rstats tale

  11. Land cover of Egypt.

    adventures, an tale

  12. Rivers of Iberia.

    adventures, an tale

  13. Land cover of South Korea.

    adventures, an tale

  14. Freshwater major habitat types of Thailand.

    adventures, an tale

  15. And another one with rivers of Germany.

    adventures, an tale

  16. Back to the United States with rivers of New Jersey.

    adventures, an tale

  17. Land cover of Sri Lanka. The last time I did anything related to land cover was *checks history* almost three years ago. And I remember why: I spend way too much time on colours, just to end back up with the original palette.

    I did find an alternative palette from the cartographer Tom Patterson which I liked but it doesn't show too well when lit.

    adventures, an tale

  18. Heading outside the United States with rivers of India.

    adventures, an tale

  19. Rivers of Rhode Island. No labels but should there be?

    adventures, an tale

  20. Rivers of Texas two ways, one with labels, one without.

    adventures, an tale

  21. ggplot(ritual) +
    geom_sf() +

    theme_c̵̤͛̌̎̀͘t̶̡̨̯̝̼͗̂͒͊̀̾̇̾͜h̸̡̰͉̼̖͉̉u̶̡̗̮̜͍̠̯̙̍l̸̞̲̓̒̒̓̓̃̔h̶̛̖̣̲̩̖͉̠͍̬̄̔̊̽͜u̸̱͛̈̽̀̅() +

    coord_noneuclidean()

  22. The topography of race and income in New York City.

    adventures, an tale

  23. why would I get AI to write my documentation and examples, that's the best part.

  24. The topography of income: New Jersey.

    adventures, an tale

  25. The topography of race in New Jersey.

    adventures, an tale

  26. The topography of race in the great state of California. I've yet to solve the problem of overlapping points, which is why the map with all groups look different. I've access to height (since it's 3D) but it doesn't quite work here. Hmm.

    adventures, an tale

  27. The topography of race and income in Manhattan, NY. Rather revealing in a number of ways, no?

    adventures, an tale

  28. Been questioning the point of sharing stuff lately. It feeds the machine and people use the machine to copy and profit. But I remembered why I started sharing in the first place—better here than sitting on my hard disk.

    So here's the topography of race in the conterminous United States.

    adventures, an tale

  29. Get in, kids! An ADSB storm is coming!

  30. 3D ggplot of parabolic great circle trajectories (i.e. ballistic-ish paths) on a non-linear Robinson projection: how do we ensure the 3D data is consistent with the underlying ggplot? Simple: we extract the coordinate transformation from the ggplot object itself!

  31. Well well well, what do we have here? Is that... real 3D data in my 3D ggplot? 🤫

  32. 3/5 We can use this information along with solar positioning via {swephR} to generate a beautifully rendered realistic atmosphere in our and plots! Rayshader's `render_highquality()` now optionally takes lat/long + datetime inputs, so you don't even need to learn anything new!

  33. Introducing population tiles of France.

    adventures, an tale

  34. Did this a while back but forgot to share: the Danube basin.

    adventures, an tale

  35. The Paraná basin.

    adventures, an tale

  36. Average monthly precipitation of the world, 1970–2000

    adventures, an tale

  37. Today's basin is the Yangtze.

    adventures, an tale