Spatial Data Analysis in R - Virtual Classroom

Date: Thursday 20 May 2021, 1.00PM
Location: Online
CPD: 6.0 hours
RSS Training


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Level: Intermediate (I)


This virtual course will run over 2 afternoons. 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. 
 
Level: Intermediate (I)


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. 

This training course provides an introduction to sf, a popular package for handling geographic data in R. Participants will learn how to load, manipulate and visualise geographic vector data, creating both static and interactive maps. The focus is on the principles rather than the specific methods, 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
  • Visualisaing spatial datasets with tmap
  • Data manipulation with spatial data using dplyr
  • Spatial operations such as intersections
  • Interactive maps with leaflet
 

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.

 

Dr Rhian Davies

Dr Rhian Davies has a PhD in Statistics specialising in clustering. As a data scientist, she has worked closely with varied domain experts including physicists, psychologists, game designers and engineers.

Rhian has been using R for over ten years and is an active member of R Ladies. She's also a statistical ambassador for the RSS and enjoys helping people understand statistical principles.

 

Fees

   

Registration before
 20 April 2021

 

Registration on/after
 20 April 2021

                                  

Non Member 

RSS Fellow 

RSS CStat/Gradstat also MIS & FIS

 

£392.00+vat 

£332.00+vat 

£314.00+vat

£435.00+vat 

£370.00+vat 

£349.00+vat