R For Transport Applications

Event Details


Thursday 26th - Friday 27th
9:30 am - 4:30 pm
2018-04-26 09:30:00 2018-04-27 16:30:00 Europe/London R For Transport Applications Worsley Building, University of Leeds, LS2 9JT


Worsley Building, University of Leeds, LS2 9JT

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£400 per person Book my ticket

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

The Consumer Data Research Centre (CDRC) & Leeds Institute for Data Analytics (LIDA) are pleased to present the following 2 day training course in the uses of R for transport applications.

This course will provide tools, example code and data and above all face-to-face teaching to empower participants with new software to answer transport data questions and more. The focus is on the programming language R (we will briefly look at visualising results in QGIS).

However, the principles and skills learned will be cross-transferable to other languages. By providing strong foundations in spatial data handling and the use of an up-coming language for statistical computing, R for Transport Applications aims to open a world of possibilities for generating insight from your transport datasets for researchers in the public sector, academia and industry alike.

Day 1

As with any language, it is important to gain a strong understanding of the underlying syntax and structure before moving on to complex uses. This course therefore starts with the foundations: how R can be used to load, manipulate, process, transform and visualise spatial data. In terms of content, the first day will focus on how the R language works, general concepts in efficient R programming, and spatial and non-spatial data classes in R.

Day 2

Building on this strong foundation the second day will cover the application of the skills developed in Day 1 to transport datasets, with a focus on geographical transport data.

Event Package

Private Sector:
Early Bird rate available until 25th March 2018: £800
Full rate after 25th March 2018: £900 Students:
Early Bird student rate available until 25th March 2018: £400
Full student rate after 25th March 2018: £500 University staff, public and charitable sector staff:
Early Bird staff rate available until 25th March 2018: £600
Full staff rate after 25th March 2018: £700

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