R for Transport Applications: Prerequisites

R for Transport Applications: Handling Big Data in Spatial World

Prerequisites

Prior experience with transport datasets or common geographic data formats is essential.

Some exposure to software with a command-line interface, such as Stata, Python or R is highly recommended.

Computers with RStudio installed will be available for course attendees. However, for maximum benefit, we recommend participants bring their own laptops, with the latest version of R installed. Steps to set-up a suitable R/RStudio environment are described in sections 2.3 and 2.5 of the book Efficient R Programming. It is also recommended the following packages are installed prior to attending the course:

install.packages(c(
“sf”,
“stplanr”,
“tidyverse”,
“tmap”,
“openair”
))