Spatial Data Analysis in R
Date:
17/05/2023 - 18/05/2023
Organised by:
Royal Statistical Society
Presenter:
Dr Nicola Rennie
Level:
Intermediate (some prior knowledge)
Contact:
Description:
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 online 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.
For this online course, participants are not required to have R installed on their own laptops. A virtual environment, which can be accessed through a web browser, will be used to run R and view course materials
Cost:
£403.55 to £559.07 (Inc. VAT)
Website and registration:
Region:
Greater London
Keywords:
Quantitative Data Handling and Data Analysis, R, dplyr
Related publications and presentations:
Quantitative Data Handling and Data Analysis
R