I wonder what happened to Greenland, though? It's just... not there.
Also -- especially for printing -- an "export to SVG" option would be amazing.
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I wonder what happened to Greenland, though? It's just... not there.
Also -- especially for printing -- an "export to SVG" option would be amazing.
Not wishing to disrespect the coding that went into this, but I don't see the point? The "standard" map used by the author already shows a visualisation of the area concerned, I'm not exactly sure what this magical plot style brings to the party other than a different way of drawing the same type of thing.
Our eyes are not great at detecting the difference between 80% and 82% grayscale, but they easily see the difference between adjacent shapes 80px and 82px tall.
Similarly, it's incredibly difficult for us to compare the difference between 80% and 82%, against 82% and 86%. Whereas with a line, it's trivial to see that the angle increased dramatically on the second one.
Grayscale and color maps are well-known for only being able to provide a "big-picture" overview because our eyes can only vaguely distinguish subtle differences in color/intensity. This type of plot addresses that partly.
https://anvaka.github.io/peak-map/#11.19/52.2305/8.9095 This is one of my favorite spots on the map. The mountainrange is dividing a big part of the north from southern region called Westphalia. Only one river breaks through it allowing for an easy way across the mountains. The citys name at that spot is Porta Westfalica which is Latin and means "gate to Westphalia". I think this visualization illustrates the reason…
From my speculative chair, it looks like the river existed before the ranges.
This is seriously so cool! I love simple clever tools like this. And playing with the sliders lets you do lots of cool effects too. I wonder what happened to Greenland, though? It's just... not there. Also -- especially for printing -- an "export to SVG" option would be amazing.
The data has a few bugs, I shouted out to the data provider here:
https://twitter.com/anvaka/status/1214222926070730758?s=19
Hopefully they will find time to fix it
Nice! Really reminds me of the Unknown Pleasures album by Joy Division. Edit: Just noticed it's called a "joy plot" in the repo.
The R community started out calling these "joy plots" (after the Joy Division album) but then people found out about the association of "joy division" with the Holocaust ( https://serialmentor.com/blog/2017/9/15/goodbye-joyplots ) and so now they're called ridgeline plots.
I'm sure I read someone asking a question on how to do something like this recently, I wonder if this was built in response to that question.
Just wanted to chime in and say thank you for the sharing and love!
Have a wonderful start of the year!
Nice! Really reminds me of the Unknown Pleasures album by Joy Division. Edit: Just noticed it's called a "joy plot" in the repo.
The R community started out calling these "joy plots" (after the Joy Division album) but then people found out about the association of "joy division" with the Holocaust ( https://serialmentor.com/blog/2017/9/15/goodbye-joyplots ) and so now they're called ridgeline plots.
I never knew the name of the band was that dark. For a dark band, there's a certain logic, but yeah... will definitely be using 'ridgeline' from now on.
Thanks for the info. Genuinely appreciated.