R for Transport Applications

R for Transport Applications: Handling Big Data in a Spatial World

Learning objectives

Day 1:

  • Learn and consolidate the basics of R’s syntax
  • Discover time-saving tips for efficient programming
  • Discover how add-on R packages such as dplyr can be used to improve productivity
  • Understand how R can be used to read, process and save transport-related datasets
  • Understand the structure of spatial data in R

Day 2:

  • Be able to query, subset and analyse spatial objects
  • Have a working knowledge of fundamental GIS functions such as changing projections
  • Be proficient in the use of R to create maps using add-on packages such as tmap
  • Have some experience with transport planning functions provided by stplanr
    • Route allocation
    • OD pair processing to generate geographic desire lines
    • Using the overline() function to aggregate routes to create a route network