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Alasdair Rae

Nov 2 • 5 tweets • 2 min read

🥳Free one hour mapping tutorial, tomorrow Thur 3 Nov at 13:00 UK time* (9am EST, 14:00 CET, 16:00 Istanbul, (00:00 Sydney, sorry)) - all welcome🥳

See image Alt text for description and Zoom link

#30daymapchallenge

this is a bit of an experiment that I have been planning to do for a while so let's see how it goes - so long as you know the basics of QGIS you should learn some useful new stuff for design, and possibly more

I'll share lots of practical learning things in this short session, as well as styling tips for how to do all sorts of interesting design/effect things

the point is to learn about geometry generator expressions though play here, using the lower 48 US states as an example - I may do another one in future, depending on how this one goes

there are tons of practical applications for these techniques in QGIS, but you can also do interesting design stuff - so see top of this thread if you want to join this 1hr session today, at 13:00 UK time

(also happens to coincide with #30DayMapChallenge day on polygons)

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More from @undertheraedar

Alasdair Rae

@undertheraedar

Oct 27

@JonnElledge

Reading the excellent @JonnElledge substack yesterday and obviously skipped straight to the 'measuring city size', featuring the addictive @thomasforth population around a point tool, and it got me thinking...

jonn.substack.com

what do you get if you extend the distance to 100km around a point (e.g. as a very rough proxy for longer post-Covid commute zones) and do it systematically every 5km across the whole UK?

taking a quarter of the UK population (approx 17 million) as a benchmark, how many of the evenly spaced 5km points have more than a quarter of the UK population within 100km?

This is what you get when you run that query

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Alasdair Rae

@undertheraedar

Oct 24

@theboysmithy

Big news from the UK today that I am truly excited about. Finally got my hands on the new book from the brilliant @theboysmithy - beautiful, super-interesting and a really enjoyable read.

I actually saw a full manuscript before the print version came out so my pristine paper copy is now about to be thoroughly thumbed

and seeing as how height is a topic of conversation today (and always), Chapter 14 gets us right up to speed on this too

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Alasdair Rae

@undertheraedar

Oct 8

What do the highlighted constituencies have in common?

Answer will appear below when someone gets it (or when I post it) but consider yourself a fully certified map twitter expert if you already know it.

lots of answers that could potentially also be correct - and which demonstrate next-level nerdery - but whoever goes forth with the true answer will surely be crowned twitter map champion forever

apologies for the torture, didn't quite realise pain this might cause - possibly think a little more low-brow than some of the answers

Read 7 tweets

Alasdair Rae

@undertheraedar

Oct 7

Map of the day is a very comet-style UK general election 2019 map experiment, where

- colour of dot = winning party
- comet trail colour = second place
- comet train length = how far behind second place was

(dot is just a coloured centroid, see Alt text for QGIS geom gen code)

also possibly interesting but also possibly meaningless is the line on this 'who came second in 2019' map

always a bit of this with these kinds of map experiments but interesting to see what I see vs what other see

Read 5 tweets

Alasdair Rae

@undertheraedar

Sep 26

🚨Big new batch of local GIS open data resources 🚨 for Great Britain - based on OS and ONS open data - a shortish thread (data for all local authorities individually, as well as full Great Britain files, all in one place - see screenshot at link below)

automaticknowledge.org/gb/

there's buildings, greenspace, places, rail (stations + lines), roads, water - all for single local authorities, or for full Great Britain, if you need it - and simple file names so you can tell what's what - e.g. here's the buildings folder

automaticknowledge.org/gb/buildings/

we also patched together 2,859 individual terrain tiles and then compressed them into one big (but fairly low file size), georeferenced tif that can be used to create hillshades/used as a backdrop layer, etc

automaticknowledge.org/gb/terrain/

Read 21 tweets