For anyone who might find it useful or interesting, I've cobbled together my tips on #aerialod into a new blog post - may be useful for teaching, experiments or just as a bit of distraction. I've shared sample data, screenshots of settings, and new images
you can also make your own Minecraft-style world, should you be into that kind of thing
and it also works surprisingly well with larger areas, once you fiddle with the settings - I didn't get very far with labelling this one though
Dovedale in Derbyshire is a popular holiday spot, and also has open Lidar data (this is 50cm data), so I thought I'd add it to this thread - see next tweet for the settings
you should be able to see all the colours and settings in these screenshots, if you are planning to experiment with #aerialod
more tips: if you're working with a tif, jpg or png you can add some light text (which will be extruded) or dark text (will look like a hole) by just typing it on top of the image in another programme - I've added this example (as a tif) to the folder in the blog linked above
another tip on this Aerialod malarkey - expand canvas size of a tif (I did this in Irfanview but you can do it with lots of other tools) and add a bit of text and for urban scenes like this one you can set the sun as an early morning glow that hits the taller buildings just right
okay, some more of these to add to the fun
- another Cheddar Gorge one with funky perspective
- the isle of Eigg, with 3D text label
- another chunk of the Cairngorms
- and one just showing the highest land in the Highlands (e.g. spot the Cuillin ridge, or Cairngorm Pleateau)
last one, because I haven't said anything about fog + sun and this is what it looks like when you mix the two
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I saw this Met Office 'UK climate districts map' online so naturally I decided to try and figure out the population of each area whilst eating my lunch and these are the incredibly interesting results
there is also the Met Office "climate regions" map but that's a can of worms that I don't want to open, not least because of the unwavering England N / England S line
Okay, some European population density stuff now - starting with the top 100 1km grid squares by population across Europe, based on the most recent Eurostat data - more to follow
these are the top 3 by density, but I've shared a web folder with all 1km grid squares with more than 30,000 people living in them, as well as the top square in each of the 38 countries in the dataset
Topical retweet because I've been watching The Rig but also the news - I remember first seeing these when I was about 10 when playing football in Invergordon and we couldn't believe the size of them
Another very interesting recent England and Wales Census 2021 release is the passport data, so here's a map of % with no passport at MSOA level, will add a couple more below
these are all the different columns in the dataset (TS005Passports held) and the patterns are quite interesting, although I've only done a few maps as a way to explore the data
Today's census map shows the most common housing tenure in each local authority in England and Wales 🏡
I'm working on my spelling of mortgage, probably due to the shock of seeing how many households own without a mortgage!
most common by area is of course a very first-past-the-posty representation of things but I'm interested in the pattern precisely because of this - will fix typo later, perhaps I should do by constituency too
More Census age data today - a little animation of % by single year of age in each local authority. Probably needs a few watches to sink in - lots in here - but the final 10 seconds I find quite sombre, and you'll NEVER guess when lots of people leave home
and, just to go all dataviz retro, here are all the frames as small multiples
nerd note: lots of ways to make small multiples from image sets but I tend to use ImageMagick, and the image above was created using this command: