Mapping council wards against public statistics
Ordnance Survey recently released the boundary data for council wards so that anyone can use it. On Saturday we built a demonstration of what can be achieved by combining it with other public data.
A bunch of us gathered in Birmingham to spend a day looking at data and mapping, at Andrew McKenzie’s Mapitude event on Saturday. It was hosted at Aquila TV and sponsored by Digital Birmingham.
Although there were a number of presentations from the likes of OpenStreetMap, Mappa Mercia and OpenlyLocal, I spent the bulk of the day helping to build a demonstration of what can be achieved by combining sets of data that are available from Ordnance Survey and National Statistics.
The brief, which had been suggested by Gavin Wray, was to choose a ward and layer information over it. Dan Slee was keen to map St Matthew’s in Walsall, and the group agreed that we should try and compare it against an adjacent ward if possible. While the others searched for datasets, I threw together a web page; Stuart Harrison and Chris Taggart worked on the hard task of writing code.
We ended up with this: http://www.pezholio.co.uk/mapitude/.
Now this might look like we’ve simply drawn a boundary on a couple of Google maps and embedded them in a web page; and in a way we have: the difference is that the plotting of points and drawing of lines is done automatically, and the information about the wards is pulled in automatically.
In other words, Stuart wrote some code that automates the tasks of:
- finding the boundary coordinates from Ordnance Survey OpenData;
- plotting the boundary on a Google map;
- interrogating National Statistics for our choice of data.
Then the map is simply embedded in a web page. Which, in a fully working application, would also be done automatically (or rather, on the whim of whoever visits the web page).
There are loads of other things I’d like to see, such as users choosing boundaries based on their own understanding of geography (administrative boundaries for religious groups or sports organisations, for example) as well as the official civic ones, and comparisons over time.
But remember this was just a demonstration: surprising as it may sound, this hasn’t really been done before. Prior to 1 April 2010, UK ward boundary data were simply not available for public use; groups of fools like us could not have spent our free time building this tool for the public good.
We’re not the only people exploring how we can make good use of public data, plenty of others are too. The point is that this stuff is game-changing, and it’s being done by volunteers for the sake of it (and a free lunch, if one’s available). People are creating their own ways of making sense of the world around them – of understanding and engaging with civic society – and offering it to others. As a result it is even harder these days to pin down where people are getting their information from, how critical they are in analysing it and what level of engagement they have.
The opening up of public data is not a magic bullet of course, but it is an exciting development. With public data now freely available I suspect civic engagement will become much messier and harder to define than it was before: and arguably a lot more democratic.
Please note: the views expressed in this post are not necessarily those of the Citizenship Foundation.
This is wonderful geography, Michael.
Opening up this data with easily accessible tools will be very effective in helping people understand the communities in which they live and work at a very local level.
Far too much place-making is based on impressionistic assessment on the one hand and data-sets with artificially fixed boundaries on the other.
I would argue that to become ‘more democratic’ in decision-making may be messier (or more complex) but it will be better informed.
Comment by Angus Willson — May 25, 2010 @ 10:37 am
I agree with Angus. This is fabulous geography.
I’ve been working with the same datasets, although just looking at my own local area, and since I’ve started I’ve come across even more interesting boundary data, such as the ecclesiastical boundaries and charity area-of-benefit boundaries.
It would be great to have a tool like this available for public use.
Well done!
Comment by Feargal Hogan — May 25, 2010 @ 10:57 am
Thank you both! Although the credit should really go to Stuart and the others.
Feargal, that’s really interesting; how is the data presented? I know very little about mapping, and I’m not a programmer, but one of the things I want to look at (when I have a chance) is how to make it easy for people to create their own compatible datasets that can then be layered over other data in third-party tools. Or would it be as simple as drawing them on Google Maps and exporting the data..?
Comment by Michael — May 25, 2010 @ 12:09 pm
Stuart Harrison has now also blogged an account of this work: http://www.pezholio.co.uk/2010/05/ringing-mapping-the-changes/
Comment by Michael — May 25, 2010 @ 12:11 pm
[...] that the Ordinance Survey released for use recently. At at Andrew McKenzie’s Mapitude event in Birmingham the attendees worked on a Ward Comparison site that plotted the boundaries of Walsall Council wards automatically on Google [...]
Pingback by We know where we are, and is that about all? - jon bounds — May 25, 2010 @ 12:19 pm
Good writeup Michael.
I thought it’d be worth mentioning where we got the data from. We looked at two main sources for ward-level data:
OpenlyLocal.com - here’s the source we used for St Matthew’s ward in Walsall
neighbourhood.statistics.gov.uk - the official data from the Office for National Statistics. Here are the datasets for St Matthew’s
Comment by Gavin Wray — May 25, 2010 @ 12:32 pm
[...] Reason is – ward data wasn’t really available until April this year, according to this post by Michael Grimes – so no wonder it’s not really [...]
Pingback by Grappling with Google maps: Creating a ward map of Cardiff « How to microblog in high heels — December 7, 2010 @ 1:14 pm
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Comment by Leonora Wisman — April 24, 2011 @ 6:43 pm
Agree completely, kudos to the decision to open up the data and make it available. Very helpful for many!
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