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Deceptive in their Beauty?

Deceptive in their Beauty?

  Finding ways to effectively map population data is a big issue in spatial data visualization.  The standard practice uses choropleth maps that simply colour administrative units based on the combined characteristics of the people that live there (see below). These maps are popular with cartographers for a couple of reasons. You get a clear sense that the ...

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London Cycle Hire and Pollution

London Cycle Hire and Pollution

As a cyclist in London you can do your best to avoid left turning buses and dozy pedestrians. One thing you can’t really avoid though is pollution (although I accept cyclists probably aren’t much worse off than pedestrians and drivers in this respect). To illustrate this I have taken data for 3.2 million journeys from ...

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Great Maps with ggplot2

Great Maps with ggplot2

The above map (and this one) was produced using R and ggplot2 and serve to demonstrate just how sophisticated R visualisations can be. We are used to seeing similar maps produced with conventional GIS platforms or software such as Processing but I hadn’t yet seen one from the R community (feel free to suggest some ...

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The Power of Comparison: Just How Big Is It?

The Power of Comparison: Just How Big Is It?

  If I said a country was 1594719800 metres squared it would mean a lot less to you than if I said it was about the size of Greater London (so long as you know about how big Greater London is). For this reason the media tend to report the extent of a flood in ...

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The Size of the UK Government Estate

The Size of the UK Government Estate

Yesterday the government released data about the size of the central civil estate. The infographic shows this (green box) compared to well-known geographic features in Britain. The government press release stated that the data are a snapshot of the estate and shows that at 1 September 2011: the estate covered by this data is 16, 411, 676 ...

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Coming of Age: R and Spatial Data Visualisation

Coming of Age: R and Spatial Data Visualisation

I have been using R (a free statistics and graphics software package) now for the past four years or so and I have seen it become an increasingly powerful method of both analysing and visualising spatial data. Crucially, more and more people are writing accessible tutorials (see here) for beginners and intermediate users and the development ...

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