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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