Cartography with R and QGIS, which to choose?

I spoke at FOSS4GUK last week. Here’s my abstract:

We all love maps. Like many, I grew up with the rich tapestry of Ordnance Survey landranger maps. This OS product uses clever cartography to display many different attributes at the same time. At the opposite end of the scale, we’ve all seen maps which only display one or two attributes – like continent outlines and temperature. These two map extremes are often created using different tools, with maps featuring many attributes usually developed by hand in a desktop GIS or illustration package and single attribute maps often being the output of a bespoke code, e.g. analysing the output of a climate model. In this talk I’ll explore when a point & click interface, like QGIS, is more appropirate to develop a map and when writing code like R is a more suitable solution. I’ll use examples from my work in the public sector, consultancy and academia. These examples will encompass environmental data like flood maps, to sociology and economics datasets. You should attend this talk if you want to learn about making maps in R and QGIS and what the advantages of each environment are.

You can get my slides from Zenodo:

You can also view my talk on YouTube (1hr 20 mins in). You’ll need to click through to YouTube as the embedded player isn’t working:

Have a browse through the rest of the channel, there are some great talks preserved there!



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