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

Description:

This 2 day course teaches two skill-sets that are fundamental in modern transport research: programming and data analytics, with a focus on spatial data. Combining these enables powerful transport planning and analysis workflows for tackling a wide range of problems, including:

• How to effectively handle large transport datasets?
• Where to locate new transport infrastructure?
• How to develop automated and reproducible transport planning workflows?
• How can increasingly available datasets on air quality, traffic and active travel be used to inform policy?
• How to visualise results in an attractive and potentially on-line and interactive manner?

This course will provide tools, example code and data and above all face-to-face teaching to empower participants with new software to answer these 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.

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. 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.

Cost:

Early bird prices (valid until 27 March)

External: £800
Academic: £600
Student: £400

Price (valid 27 March – 26 April)

External: £900
Academic: £700
Student: £500

Website and registration:

http://store.leeds.ac.uk/conferences-and-events/environment/geography/r-for-transport-applications-26th-27th-april-2018

Region:

Yorkshire and Humberside

Keywords:

Quantitative Data Handling and Data Analysis, ICT and Software

Related publications and presentations:

Quantitative Data Handling and Data Analysis
ICT and Software

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