- 25th April 2019 @ 9:30 am
- 26th April 2019 @ 4:30 pm
- Event Category:
- Training Session
- Leeds Institute for Data Analytics
University of Leeds
Leeds, LS2 9JT United Kingdom + Google Map
The aim of Geocomputation and Data Analysis with R is to get you up-to-speed with high performance geographic processing, analysis, visualisation and modelling capabilities from the command-line. The course will be delivered in R, a statistical programming language popular in academia, industry and, increasingly, the public sector. It will teach a range of techniques using recent developments in the package sf and the ‘metapackage’ tidyverse, based on the open source book Geocomputation with R (Lovelace, Nowosad, and Meunchow 2019).
By the end of the course participants should:
Robin Lovelace is a researcher at the Leeds Institute for Transport Studies (ITS) and the Leeds Institute for Data Analytics (LIDA). Robin has many years of experience of using R for academic research and has taught numerous R courses at all levels. He has developed popular R resources including the recently published book Efficient R Programming (Gillespie and Lovelace 2016), Introduction to Visualising Spatial Data in R and Spatial Microsimulation with R (Lovelace and Dumont 2016). These skills have been applied on a number of projects with real-world applications, including the Propensity to Cycle Tool, a nationally scalable interactive online mapping application, and the stplanr package.
Prior reading/ experience
If you are new to R, ensure you have completed a basic introductory course such as DataCamp’s introduction to R free course or equivalent.
If you’re interested in R for ‘data science’ and installing/updating/choosing R packages, these additional resources are recommended (these optional resources are all freely available online):
Fees and Further Information
The course is open to students, academic staff and external delegates.
Early Bird rate (until 18th March 2019)
£400 – Students
£600 – Academics, charitable and public sector
£800 – Other
Rates 18th March-18th April 2019
£500 – Students
£700 – Academics, charitable and public sector
£900 – Other
The fee includes learning materials, lunch and refreshments during the course, but not overnight accommodation. The course is also available as bespoke or in-company training.
For all enquiries please contact Kylie Norman.