This event, sponsored by the Quantitative Methods Research Group and led by Dr Robin Lovelace from the University of Leeds, will provide an introductory, hands-on, and fun session getting started with spatial data in R. The workshop will bring together data, maps and R (soon-to-be) enthusiasts to demonstrate the ‘power of the command line’ to solve geographic challenges using open source software. Critically, the ‘data science’ approach demonstrated in the course enables reproducibility, something that geographers have recently started to address with a shift to open source, community-driven tools. The workshop will be based on the recently published open source book Geocomputation in R the contents (https://geocompr.robinlovelace.net/) and source code (https://github.com/robinlovelace/geocompr) of which is freely available worldwide, to minimise barriers to participation in geographic research.
You need to have prepared three things before the course:
1. A decent, charged battery
2. The software needed for the course, meaning a recent version of R (at least R 3.6.0) and RStudio (installed within the past year)
3. Spatial packages installed on your computer. See here for more on the pre-requisite packages: https://geocompr.robinlovelace.net/spatial-class.html#prerequisites
Places are free and must be booked in advance. You can sign up for the workshop here.
Location: RGS-IBG Drayson Room
Time: Tuesday 27 August 2019, Afternoon 13:00 – 17:30.