- 23rd April 2020 @ 9:30 am
- 24th April 2020 @ 4:30 pm
- Event Category:
- Training Session
- Leeds Institute for Data Analytics
University of Leeds
Leeds, LS2 9JT United Kingdom + Google Map
**Regretfully, this course has now been postponed until April 2021. Please contact Kylie Norman if you would like to be added to the waiting list.**
This two-day course aims to get you up-to-speed with high performance geographic processing, analysis and visualisation 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 over a decade of experience using R for academic research and has taught numerous R courses at all levels. He has developed popular R resources including the 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 (PCT) a nationally scalable interactive online mapping application, and the stplanr package.
Is this course for me?
This is not an introductory R course but a course for R users wanting to develop their geospatial analysis skills, and as such attendees should already have experience with R. In addition to being able to complete introductory courses such as DataCamp’s introduction to R or equivalent, attendees should already be using R for their work. If you do not have R experience but already use GIS software and have a strong understanding for geographic data types, and some programming experience, the course may also be appropriate. Attendees are expected to bring their own laptops and will be emailed a list of packages to install.
In preparation for the course we recommend reading and running the code in these free online resources:
Fees and Further Information
The course is open to students, academic staff and external delegates.
Early Bird rate (until 22nd March 2020)
£200 – Students
£400 – Academics, charitable and public sector
£700 – Other
Rates 23rd March-21st April 2020
£300 – Students
£500 – Academics, charitable and public sector
£800 – 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.
Lovelace, Robin, Jakub Nowosad, and Jannes Meunchow. 2019. Geocomputation with R. CRC Press.