Spatial Data Analysis with R
As spatial datasets 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 training course demonstrates the many useful features that are hidden away in the package documentation. The functions
getData(), from the ggmap and raster packages, for example, allow users to download data from anywhere in the world into R directly. Participants will be introduced to functionality in R that is very difficult to achieve in other software, such as the clustering of points into polygons and geographically weighted regression. 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.
No Events Currently Scheduled
Sorry, there are no upcoming events for this course, but please get in touch if you would like to be kept informed when events are scheduled in the future.
This course will be structured as follows:
- Introducing R as a GIS
- The structure of spatial objects in R
- Loading and interrogating spatial data
- Visualising spatial datasets
- Acquiring external data with R
- Point pattern analysis and spatial interpolation
- Geographical models in R
It is expected that participants have basic R experience, e.g. attending the Introduction to R and Introduction to Programming 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.