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Spatial Data Analysis with R

Spatial Data Analysis with R

Course Level: Advanced

As spatial data sets get larger, 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. 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.

Book: Spatial Data Analysis with R

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Course Details

  • Course Outline
  • Learning Outcomes
  • Materials
  • Prior Knowledge

Course Outline

This course will be structured as follows:

  • Introducing R as a GIS
  • The structure of spatial objects in R
  • Loading and interrogating spatial data with {sf}
  • Visualising spatial data sets with {tmap}
  • Data manipulation with spatial data using {dplyr}
  • Spatial joins
  • Coordinate reference systems (CRS)
  • Interactive maps with {leaflet}

Learning Outcomes

Session 1:

By the end of session 1, participants will…

  • have an understanding of different types of spatial data.
  • know how to plot static maps using {tmap}, including adding multiple layers and colouring by variables.
  • understand how to manipulate spatial data using {dplyr} and {sf} functions.

Session 2:

By the end of session 2, participants will…

  • gain knowledge of coordinate reference systems (CRS) and know how to define a CRS.
  • understand and be able to create interactive maps using {leaflet}.
  • understand how to create initial maps and add objects containing different types of data.
  • be able to customise their interactive maps with colours, labels and legends.

This course does not include:

  • Any spatial modelling.

Materials

  • Page 1 of example course material for Spatial Data Analysis with R
  • Page 2 of example course material for Spatial Data Analysis with R
  • Page 3 of example course material for Spatial Data Analysis with R
  • Page 4 of example course material for Spatial Data Analysis with R
  • Page 5 of example course material for Spatial Data Analysis with R

Prior Knowledge

It is expected that participants have basic R experience, e.g. attending the Introduction to R and Programming with R courses or having a similar level of knowledge. The course will be hands-on and applied with short introductory lectures to each of the topics, followed by practical sessions loading and analysing real spatial datasets.

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