CPD - R for Spatial Analysis
- Date
- Friday 6 October 2017, 9am - 4:30pm
- Location
- Leeds Institute for Data Analytics, Level 11, Worsley Building, University of Leeds, Clarendon Way, Leeds, LS2 9NL
- Category
- CDRC Training
This one day course will get you up-to-speed with using R and RStudio for daily working with spatial data. You will learn about R’s powerful geospatial data processing, analysis and visualisation capabilities. It is practical and hands-on: you’ll learn by doing. It assumes you already use R and want to extend your knowledge for spatial data applications. It will cover the recently developed sf package, which is compatible with the tidyverse, representing the cutting-edge of spatial data applications. It will provide a solid foundation (including spatial aggregation, joining, CRSs, visualisation) on which advanced analysis analysis workflows can be built.
Learning outcomes
By the end of the course participants will:
- Understand R’s spatial ecosystem and which packages are ‘future proof’
- Know how to optimise RStudio for productive working with spatial data (you should already be proficient with RStudio)
- Be able to read and write a variety of spatial data formats
- Be proficient at common spatial operations including subsetting, cropping, aggregation and transformation
- Be a confident map maker using the powerful tmap package
- Know where to look for learning more advanced methods
Course materials
The course will be based on the first 5 chapters of the forethcoming book Geocomputation with R plus some additional materials:
- An introduction to geographic data in R
- Spatial data operations
- Geographic data I/O
- Introduction to visualising spatial data with R
- Point pattern analysis and rasterization
Course agenda
Refreshments & set-up: (09:00 – 09:30)
- R’s spatial ecosystem: (09:30 – 10:00)
- R and RStudio for spatial data (10:00 – 10:30)
- An interactive spatial data workflow: (10:00 – 10:45)
Coffee break: (10:45 – 11:00)
- Geographic data in R: simple features (11:00 – 12:00)
- Raster data classes and functions (12:00 – 12:30)
LUNCH and looking at your data (12:30 – 13:30)
- Spatial data operations (13:30 – 14:30)
- Visualisation (14:30 – 15:00)
Coffee break: 15:00 – 15:15
- Geographic data I/O: (15:15 – 15:45)
- Point pattern analysis, interpolation and rasterization: (15:45 – 16:00)
- Working with your data and next steps (16:00 – 16:30)
Tutor
Dr Robin Lovelace