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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

By the end of the day participants will…

have learned how spatial data is stored and how to import such data into R
be able to visualise data in the form of static maps
understand how to manipulate spatial data using {dplyr} functionality
develop an understanding as to the importance of CRS in describing geographic data
be able to create interactive maps to visualise their data

Materials

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.

Attendee Feedback

“The instructor well handled the different level of knowledge of the participants.”
“Rhian was really knowledgeable and friendly, and taught the course in a well structured, step-by-step way. Her explanations were nice and clear and giving each of us an opportunity to walk the group through the answers to the exercises helped solidify what we’d (I’d) learned.”

Training Course Details

Spatial Data Analysis with R

Course Level: Advanced