Possibly of use for UK boffins, data journalists and the like: our (beta) version of a single UK local authority file with insets included (+ all area codes) - join data once, turn insets on/off as required
the bounding boxes are included as well, in a separate file
If you just wanted main map + an inset for London, you could filter layer like this:
"inset_area" IN ('Greater London','None')
you get an inset, you get an inset, everyone gets an inset - except they don't - we may do a version 2 at some point with (e.g. South Wales, Teesside) but for now this is inset in stone
and the map in the example? That is the % of people in each area who were 80 years old in mid-2019, ranging from under 0.2% in some parts of London, to over 1% in North Norfolk and Rother (in East Sussex)
anyway, this is how it works - I've also added a couple of style files to the repo if anyone wants to experiment
Here's the final version of the global population density graphic I made, because another one that is circulating was less well defined, and someone cropped NZ off it
this is the little 'About this print' sheet that goes along with it
and, should you have a burning question like 'how can I make one of these?' or 'where do I get the data?' then see my blog for all the answers
Short map thread, inspired @ScienceAndMaps earlier this week. Many people are familiar with @OrdnanceSurvey grid references (e.g. summit of Ben Nevis is NN 166 712) - those two letters you can see on the map of Great Britain below (2 letters = 100km x 100km - known as a 'myriad')
baffling combination of letters, no? Well, to crack that code you need to zoom out and see the 500km x 500km tiles this is based on (there's no letter I, so we have 25 squares) - image is from @EDINA_Digimap
isn't it nice that the N and the S align roughly with north and south? Ordnance Survey is the mapping agency for GB rather than the whole UK, hence no Northern Ireland on the grid. So, first letter from the 500km part, second letter from the 100km part (then we have 20km squares)
Just had a behind the scenes tour at @NorthendPrint in Sheffield as they finalise our global population print and was blown away by the tech. Amazing stuff. Prints look super sharp too.
I could watch this all day, but probably shouldn't
Anyone needing ready-made UK geodata for local authorities that includes the latest ONS mid-year population estimates (2019): I've shared it here in shp, gpkg and geojson formats (you can also grab place labels, buildings and IMD files while you're at it)