Spatial Data Analysis in R
Date:
20/05/2021
Organised by:
Royal Statistical Society
Presenter:
Dr Rhian Davies
Level:
Intermediate (some prior knowledge)
Contact:
Venue: Online
Description:
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.
Cost:
£377 - £522 (inc VAT)
Website and registration:
Region:
Greater London
Keywords:
Qualitative Data Handling and Data Analysis
Related publications and presentations:
Qualitative Data Handling and Data Analysis