Friday, 17 June 2011

Commuting Animation for 2001

The results of the 2011 Census will not be released for a while yet and in the case of migration and commuting data it usually takes about two or three years before we get our hands on it. I've recently been looking at commuting patterns at district level in the UK from the 2001 data in anticipation of studying changes when the 2011 data are released and have put together this short animation. You can play the animation and also use the slider on the time line to control the speed yourself... (it may take a moment or two to load)

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I've just selected 18 different districts from across the UK and looked at the range of commuting origins. A couple of points to note here. I've only included flows over ten in order to cut out some of the 'noise' associated with very low flow numbers. Also, for Belfast, the commuting data is split into Belfast North, South, East and West so that one looks a little different.

A few points of note. City of London and Westminster have the highest inflows in the UK, at over 300,000 and 400,000 respectively. I've chosen a sample of places just to give reasonable geographical coverage. What I aim to look at in the relatively near future is commuting and deprivation together, but this is a slow-burner...

Here's the image file for City of London, just as an example. Click the image to see it in full size.


Thursday, 16 June 2011

World Prison Populations

I was going to post something else on deprivation, and I will do again soon, but today it's time for something completely different. For one reason or another I've been thinking about prison populations in different countries in the world. Maybe it's because I've been watching Banged up Abroad on National Geographic! Anyway, I got interested in it and started looking at the data and publications on the International Centre for Prison Studies website. It's all very interesting and at times alarming but thanks to the people at ICPS we have a reasonably good idea about all this. The 8th Edition of the World Prison Population List puts the total prison population at about 9.8 million in 2008 - roughly the same as the total population of Sweden! A couple of quick 'top ten' charts now...




The United States, China and Russia account for almost half the total world prison population. The US total in 2008 was 2.3 million, which is more than the entire population of Latvia and more than half the total population of Ireland. The prison population is more than the city population of Houston and not far off the city population of Chicago. The United States also has the highest rate of imprisonment per 1,000 persons, as you can see below...



In 2008, the rate of imprisonment in the US was 7.6 per 1,000. Russia was next at 6.3 and then Rwanda at 6.0. European nations generally have a much lower rate, with the United Kingdom at 1.5, France at 1.0 and Sweden at 0.7.

You can play around with the numbers to discover lots of interesting facts. If the UK had the same imprisonment rate as the US then instead of having a prison population of 90,000 or so, it would have a prison population of 465,000. On the other hand, if the US had the same rate as the UK, they would have 458,000 prisoners and not 2.3 million. Food for thought...

Given the topic, I'll end this rather random post with this...

Wednesday, 1 June 2011

IMD 2004, 2007, 2010 - Change Over Time...

This is the last deprivation-related post in a while. I promise. I've been experimenting with English IMD data from 2004, 2007 and 2010 and have finally found a moment to do to it what I did to the Scottish IMD data, where it is all online and clicking an area produces a chart showing change in rank through time. In this new example, I've also added in the change in rank between 2004 and 2010, as you can see below. The rank change doesn't tell you if an area became more deprived in absolute terms, only that it is less or more deprived in relation to the other 32,481 LSOAs in England.


You can see in the example above a case of a quite large change in rank. This is for an LSOA in London. The maps are quite basic because I don't have time right now to build a more sophisticated site but the colour scheme is based on quintiles, with red most deprived, yellow next and blues less deprived (the darker the blue, the less deprived), as below.


For the moment, I don't have any plans to extend this analysis to Wales or Northern Ireland, but you never know...


Wednesday, 25 May 2011

Employment Deprivation in England and Scotland

I'm doing a talk today at the Employment Research Institute in Edinburgh, so I thought I'd put my presentation here and also post a few nuggets of information. Employment deprivation is the subject of the talk and I've been exploring spatial patterns in relation to this. What is 'employment deprivation'? It's involuntary exclusion from the labour force.


A few bits of information... Out of the different indices of deprivation for England and Scotland between 2004 and 2010, the highest figure for employment deprivation was in a LSOA in Rochdale, with 75% of people out of work. The highest figure in Scotland was a Data Zone in Glasgow in 2004 and one in Edinburgh in 2006 with 65% of working age people not in work. There are no major surprises in the general spatial pattens but there are interesting findings in the spatial analysis in the presentation (well, that's what I think).

Sunday, 22 May 2011

Further Fusion Experiments

A short post today to report on some further experimentation with google maps, fusion tables and Scottish deprivation data. I've been exploring patterns of deprivation for a talk I'm giving at the Employment Research Institute in Edinburgh this coming week. Some results follow but in the examples below, the red areas are most deprived, yellow next most and blue less deprived. First of all we have an extract from Wick...



Then one from Inverness...



And finally one from Campbeltown...



The point here is not really to map deprivation data, though of course that's what I've been doing. Instead, it is to test the capabilities of fusion tables. More specifically, I've tried to make the data from the Scottish Index of Multiple Deprivation from 2004, 2006 and 2009 appear in a chart when you click on an area - and I have been able to get it to work. When you click on any area in any of the maps above (best to use a full screen version), you'll see a chart in the info window that pops up, like this:



Information on how to do this can be found here. It's not that difficult but it does take a while to figure out. My view is that fusion tables are a very powerful way of visualising data and making it easily accessible online. Still in its infancy really but worth a look.

Monday, 16 May 2011

The Voting Decision in a Spatial Context

In much of my recent work I've been interested in the concept of spatial context and the idea that what happens in one area influences nearby areas (cf. Waldo Tobler). There are many different areas of research related to this but two of them are political geography and spatial statistics. So, with the recent AV vote in the UK, I thought I'd see if there were any contextual effects with the voting. This map of London is the result of some quick analysis I did...


The important thing here is not the overall result (an emphatic 'No' to AV), but the manner in which the 'Yes' vote is spatially clustered. Early work on this kind of thing was pioneered by Kevin Cox in the late 1960s and later by Ron Johnston. I just thought I'd play around with the data to see what it looked like on the map.

Thursday, 5 May 2011

Deprivation and Map Distortion (SIMD 2009)

I'm doing a seminar at the Employment Research Institute in Edinburgh later this month on the topic of employment deprivation in England and Scotland. Recent posts have mostly been about England and patterns of deprivation there and I've been neglecting my native land. So, I thought I would use some of the data to take a look at patterns of deprivation in Scotland using a population-weighted cartogram. The result is below (click to view full size).




Now I need to get on with some more in-depth analysis of employment data...