Spatial Data Analysis in R

Venue: University of Manchester, M13 9PL.

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Course Outline

As spatial datasets get larger and more sophisticated software needs to be harnessed for their analysis. R is now a widely used open source software platform for working with spatial data thanks to its powerful analysis and visualisation packages. 

Learning Outcomes

The focus of this course is providing participants with the understanding needed to apply R's powerful suite of geographical tools to their own problems.

Topics Covered

  • Introducing R as a GIS
  • The structure of spatial objects in R
  • Loading and interrogating spatial data
  • Visualising spatial datasets
  • Acquiring external data with R
  • Point pattern analysis and spatial interpolation
  • Geographical models in R
  • Webmaps

Target Audience

Participants with spatial data problems who are not making use of R and are falling behind in the ever changing world of data science.

Assumed Knowledge

A basic understanding of the R software is assumed. Each participant will need to bring their own laptop installed with the latest versions of Rstudio and R software.

Fees (Registration before 30 August 2019)

Non Member £382+vat

RSS Fellow £324+vat

RSS CStat: also MIS, FIS & GradStat £306+vat

Fees (Registration on/after 30 August 2019)

Non Member £424+vat

RSS Fellow £361+vat

RSS CStat: also MIS, FIS & GradStat £340+vat

Multiple booking discounts available for bookings of 3 or more places - please contact for further information