Just catching up on the latest in functional economic geography news
"A boundary commission should propose adjustments that reflect economic reality." 🥳
already imagining some new shapes
although my preference would be to add a fuzzy 'maybe zone' to the edge of these kinds of maps to reflect the reality of commuter reality
and then followed by loads of 'that CAN'T be right, that's crazy!' checking of the maybe zone on Google maps at which point you realise it probably is right, or close enough
yes, there is much to be said for reading earlier tomes, and looking at the lovely maps, so I'll add my earlier thread on some of it here too
our local copies of the original, which I kept in my office for a while (their combined weight caused only a small amount of subsidence but it was worth it)
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'random Canadian-Scottish geography questions you can answer quickly while having your breakfast at the weekend'
- I may also have calculated the Scottish-Latitude population of Canada while I was at it, surprisingly low
plus, not everyone knows that the northern bits of Shetland are further north than the southern tip of Greenland - and even when you hear this you are duty-bound to check it yourself on Google maps because it sounds made up
the answer to my vital question, thanks to some 10km gridded data, is that a little over 570,000 people would appear to live at Scottish latitudes in Canada, and I think we can all sleep easy now
A short city population/datanerdfest coming up in this thread, beginning with a little panoramic tour of the Tokyo metro area - city as far as the eye can see
(I made this using Google Earth Studio btw, a very useful tool)
background: I have been using/playing with/analysing global city population data quite a bit over the years, most recently in an academic paper on the topic with @CJHoole and @stehincks
we looked at population density for the whole world, using 1km resolution data from the EU's GHSL project - e.g. here's a little snapshot of how it looks across part of West Africa, from our paper
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
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
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