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Training Event / 26th May 2016 @ 9:00 am - 27th May 2016 @ 5:00 pm

Intermediate and advanced R for spatial data

Description

R is one of the fastest growing languages for data analysis and is increasingly important in business, government and academia. Less well-known is that R has a diverse suite of geospatial tools and can function as a fully integrated Geographical Information System (GIS). Time-series maps, geographically weighted regression, animations and even online maps become possible when you understand R’s unique language and approach to spatial objects.

However, 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 focuses on the foundations: how R can be used to load, manipulate, process, transform and visualise spatial data.

Prior experience with R is highly recommended; participants will also benefit from experience with GIS.

In the first day we will cover general concepts in efficient R programming and the basics of spatial data classes in R. Building on this strong foundation the second day will cover advanced topics including raster data and the creation of interactive web-based maps using R.

Learning outcomes

By the end of the course participants will:

  • Be more efficient general R programmers
  • Understand the structure of spatial data in R
  • 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 advanced functionality such as raster data and interactive maps

Further information

Cost: £60 for UK registered postgraduate students; £100 for academics/staff at Institutes of Higher Education, public sector staff and staff at registered charity organisations. £200 others.

Fee includes lunch and refreshments.

Pre-requisites

Working knowledge of R and RStudio is assumed.

Background reading “A (very) short introduction to R”, Paul Torfs & Claudia Brauerhttp://cran.r-project.org/doc/contrib/Torfs+Brauer-Short-R-Intro.pdf

For more information on the course, please see here:https://github.com/Robinlovelace/Creating-maps-in-R

Register

26 May 2016 – Intermediate R and the basics of R as a GIS 

27 May 2016 – Advanced R for spatial data analysis 

Details

Start:
26th May 2016 @ 9:00 am
End:
27th May 2016 @ 5:00 pm
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