Tag Archives: gis

Location, location, revisited

Previously on Status-Q…

Regular readers may remember that a couple of months ago, I lost my glasses and found them again. If you missed that particularly gripping episode, turn back to Location, location, location (or, ‘How technology saved me a few hundred quid yesterday’) and then you’ll understand the background here.

After posting it, my friend Phil Endecott got in touch with me. “Am I to understand”, he said, “that you would find it useful if you had a map app that could show both the locations of your photos and your current location at the same time? If so, I may have just what you need….”

And he did indeed. Phil, you see, is the author of UK Map, an iOS app that I’ve had for as long as I can remember, and one I should talk about more, because I use it all the time, especially when looking for new dog-walking routes. Yes, I may use Google Maps to find out how long it’ll take me to drive there, and Streetview to check that there’s likely to be a parking spot when I get there, but once I’ve laced up my walking boots, then I generally switch to UK Map. It combines free or paid-for Ordnance Survey maps with footpaths from Open Street Map, and, certainly round here, it’s a much better guide than almost anything else as to where you can actually go for a walk.

New features get added periodically and, like much of the cool stuff, are often buried deep in some menu below some unassuming icon in the corner, making them very easy to miss, so you really do want to go to the home page and read it carefully to see what the app can do, and then to the help button in the app to see how to do it. I don’t check these often enough, but when Phil’s message prompted me, I had another explore and found that, yes, it can show your photos on your maps. This is the site of my aforementioned adventure:

and if I had been there at the time of writing this, the little blue dot would indeed have shown me exactly what I needed to know. (The violet-coloured triangle there, by the way, is showing the rough direction in which the phone was pointing when it took the picture, and therefore shows what you may be able to see in it. Neat, eh?)

Anyway, I’ve mentioned UK Map before, but I’ve used it for so many years that I take it for granted. I do think that if you put in a little time learning what it can do, you’ll find it repays its very modest purchase price. Actually, it’ll repay that even if, like me, you really only scratch the surface.

P.S. If you happen to be anywhere other than the UK, this will be of limited use, but if you’re in North America, Phil is also the author of the highly-rated Topo Maps

What 3 words?

This is a brilliant idea. Take the world and divide it into 3m squares. Then, given a modest vocabulary, you can label each square using just three words.

For example, I work half-time at ‘faced.ears.sport’, which you can find by typing it into the What3Words map at map.what3words.com, or you can turn it into a handy URL:

http://w3w.co/faced.ears.sport

Isn’t that much easier than saying ‘The south west corner of the William Gates building at 15 J J Thomson Avenue, Cambridge, CB3 9JW, UK’? Or ‘52.210577 N 0.092133 E’?

It’s even more valuable, though, in countries where addressing schemes are less well established or non-existent.

Now, it has a couple of limitations that I can see. First, you do need to be fairly precise about those words if, say, you’re reading them over the phone. If, instead of ‘faced.ears.sport’, you went to ‘face.ears.sport’, you’d find yourself in a little residential street in Montana, which would be delightful, but you wouldn’t find me there on a typical work day. ‘faced.ears.port’ is in Louisville, Kentucky. However, the fact that they’re so spread out probably makes such errors less likely to go undetected – this is deliberate.

The second limitation is that this is a commercial operation and not an open standard, which is a pity in some ways, but understandable. It’s free for individuals to use – there’s a free iOS and Android app, for example – and the pricing page contains this assertion:

If we, what3words ltd, are ever unable to maintain the what3words technology or make arrangements for it to be maintained by a third-party (with that third-party being willing to make this same commitment), then we will release our source code into the public domain. We will do this in such a way and with suitable licences and documentation to ensure that any and all users of what3words, whether they are individuals, businesses, charitable organisations, aid agencies, governments or anyone else can continue to rely on the what3words system.

I think it’s a brilliantly simple idea. The concept has been used in other situations (passwords, PIN numbers etc), but works really well here.

Time travel

My friend Mike Flynn has been working for some years on very fast routing algorithms — routing as in maps, that is — and his primary demonstration of this is TimeToAnywhere – a system which can work out how long it takes to drive from one location to everywhere else on the map.

So you can say, for example, “There’s been an accident here. Which ambulances could reach it in less than 15 mins?” Or, “I work in Dry Drayton. Where could I live, and still have less than a half-hour commute?”

timetoanywhere

Each coloured boundary represents 10 minutes’ driving.

This is pretty, but those of you with a computing background may also realise that, using most of the standard algorithms, this is also a very time-consuming problem when you try do it across this number of points. Mike, however, measures the time taken by his system in microseconds.

He’s recently set up a demo server which, if it doesn’t get too swamped, is fun to play with to get a feel for the speed! You can find it at TimeToAnywhere.com, and if you want to know how to get the most out of it, watch Mike’s short video.

CoverMap

You know those coverage maps that mobile service providers create? The ones that tell you that, yes, there’s blanket 3G coverage in your favourite holiday destination, but when you get there you discover mean ‘slight 3G coverage for people sitting on top of their chimneys facing west under optimal stratospheric conditions’?

Well… it strikes me that, now phones have accessible GPS data, we shouldn’t need to rely on these particular bits of marketing propaganda. Somebody could write a phone app which periodically captures details of the signal and the phone’s location, and uploads them to a service which creates a map showing the true picture. Imagine you could look at your movements over a month or two and discover which operator would really provide you personally with the best service. If you were running the application, the system could even tell you that automatically! (Which would be a good way to get the data-gathering mechanism widely adopted).

Has anyone done this? I might write it up as a student project proposal…

© Copyright Quentin Stafford-Fraser