mastodon 4.7.3
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.
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Rivers of Australia.
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Rivers of France.
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Rivers of Iberia.
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Land cover of Romania.
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And another one with rivers of Germany.
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Power lines (OSM and derived) of Australia.
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Rivers of Rhode Island. No labels but should there be?
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Land cover of South Korea.
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Land cover of the conterminous United States of America.
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Rivers of Illinois.
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The Nile basin.
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Land cover of Egypt.
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Land cover of Thailand.
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Introducing population tiles of France.
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Rivers and lakes of the Netherlands.
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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.
#rayshader adventures, an #rstats tale
Heading outside the United States with rivers of India.
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Rivers of Minnesota.
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Land cover of Guatemala.
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Land cover of Cambodia.
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Land cover of Serbia.
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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.
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Freshwater major habitat types of Thailand.
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The Ganges–Brahmaputra basin. Have another version that includes even more rivers but that's taking forever.
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Today's land cover map is Bangladesh.
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The Congo basin.
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Rivers of Texas two ways, one with labels, one without.
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Did this a while back but forgot to share: the Danube basin.
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The Amazon basin. Been wanting to do this for a while and finally managed to fix the errors I was getting.
I rather like how it turned out.
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Power lines (OSM and derived) of Vietnam.
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For World Ocean Day, here's a visualisation of the world's marine protected areas.
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.
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Land cover of Honduras.
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The topography of race and income in Manhattan, NY. Rather revealing in a number of ways, no?
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Land cover of El Salvador.
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The Paraná basin.
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Another day, another basin: the Mekong basin.
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Average monthly precipitation of the world, 1970–2000
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The Mississippi basin.
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Today's basin is the Yangtze.
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Power lines (OSM and derived) of Thailand.
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Average monthly precipitation of Japan, 1970–2000.
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The topography of race in New Jersey.
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gdal is at least an order of magnitude faster than R. I will remember that from now on.
Back to the United States with rivers of New Jersey.
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