{"id":3444,"date":"2014-10-23T12:21:00","date_gmt":"2014-10-23T11:21:00","guid":{"rendered":"http:\/\/mappinglondon.co.uk\/?p=3444"},"modified":"2014-10-23T14:42:24","modified_gmt":"2014-10-23T13:42:24","slug":"geodemographics-of-londoners","status":"publish","type":"post","link":"https:\/\/mappinglondon.co.uk\/2014\/geodemographics-of-londoners\/","title":{"rendered":"Geodemographics of Londoners"},"content":{"rendered":"

\"loac\"<\/p>\n

Today, a new version of the Greater London Authority (GLA)’s London Datastore<\/a> launches, with an updated look, a new responsive data dashboard, and various new datasets being made available, including two key geodemographic datasets – that is, datasets which succinctly describe the population of an area.<\/p>\n

LOAC<\/h3>\n

One set, produced by Dr Alex Singleton<\/a> at the University of Liverpool, is the London Output Area Classification (LOAC)<\/a>. LOAC looks purely at recent census area data for just London, using similarity clustering to put each of ~32000 small London areas into one of 8 groups (each then subdivided into 2-4 subgroups for further insight). <\/p>\n

I’ve taken this dataset and produced the LOAC Map<\/a>. An excerpt of part of the map for north London is above, but be sure to try the interactive version<\/a> – a popup will describe the current area as you mouseover it. Buttons at the top allow you to map just a single group, to find out different areas with a similar population.<\/p>\n

View LOAC Map here<\/a><\/div>\n

Whereabouts London<\/h3>\n

The team at Future Cities Catapult<\/a> have also produced their own, alternative cluster of GLA-area aggregated data both from the census and additional more novel open sources (e.g. greenspace survey and Flickr photo numbers<\/a>), again producing an interactive map (excerpt below) of 8 different classifications. The project is called Whereabouts London<\/a>. Here, clicking on an area will reveal a set of charts showing the typical characteristics of the grouping that the area is in. Whereabouts London is fully open source, with the code behind the clustering available on BitBucket<\/a>.<\/p>\n

Whereabouts London takes a pure-vector approach to showing the areas, with all areas that fit into each category highlighting when you mouse-over them. Similarly to LOAC, they have also used a vivid colour palette. The website is fully responsive, so should work well for checking out an area you are in, on your smartphone.<\/p>\n

View Whereabouts London here<\/a><\/div>\n

\"whereabouts2\"<\/p>\n","protected":false},"excerpt":{"rendered":"

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