Mapping 5,000 Years of City Growth

I recently stumbled upon a great dataset. It’s the first to provide comprehensive data for world city sizes as far back as 3700BC. The authors (Meredith Reba, Femke Reitsma & Karen Seto) write: How were cities distributed globally in the past? How many people lived in these cities? How did cities influence their local and regional […]

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Big Data and Design: More Baboon, Less Unicorn

I recently had the pleasure of giving a Creative Mornings talk. Each month there is a new theme that the presenters need to refer to – mine was “fantasy” so I chose to open with one of my favourite fantasy creatures: the unicorn. It’s a talk about the creative process behind Oliver Uberti and I’s […]

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My Year in Maps

Lots happened in 2016 to keep cartographers busy…here are some of my highlights (in no particular order).   Maps and the 20th Century: Drawing the Line at the British Library is an absolutely extraordinary exhibition at the British Library. The breadth and quality of maps on display is amazing. (Inspired by the exhibition, I am giving a […]

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7 Deadly Sins of (Academic) Data Visualisation

I was recently asked to deliver a days training on scientific data visualisation. I spent a while scanning through papers to pull out what I see as the “7 deadly sins” of academic data visualisation (there are probably many more) . These sins are rooted in a lack of time and training, an underestimation of the importance […]

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Mapping (historic) tracks in ggplot2

This tutorial was first published in “Geocomputation a Practical Primer“. Here is a more complex example showing how to produce a map of 18th Century Shipping flows. The data have been obtained from the CLIWOC project and they represent a sample of digitised ships’ logs from the 18th Century. We are using a very small […]

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Datashine: Mapping the UK Population

All the DataShine websites (except DataShine Election) are derived from a common codebase and use the OpenLayers 3 mapping platform to display a full-window slippy map, with user controls and key overlaid. DataShine Census DataShine ScotlandCommissioned by the National Records of Scotland. DataShine Commute DataShine Scotland Commute. Commissioned by the National Records of Scotland. DataShine Region […]

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Announcing DataShine Scotland

We are delighted to announce the launch of DataShine Scotland! Using data from Scotland’s Census 2011, we have mapped over 1000 metrics (covering 70 topics) for Scotland’s 46,351 census output areas. While many of Scotland’s Census questions (and the resulting data) were harmonised with the England/Wales census (mapped here), there are some differences. For example DataShine Scotland maps Gaelic-speakers, those who … Continue reading Announcing DataShine Scotland

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