Course description
Geocomputation and Data Analysis with R
The aim of Geocomputation and Data Analysis with R is to get you up-to-speed with high performance geographic processing, analysis, visualisation and modelling capabilities from the command-line. The course will be delivered in R, a statistical programming language popular in academia, industry and, increasingly, the public sector. It will teach a range of techniques using recent developments in the package sf and the ‘metapackage’ tidyverse, based on the open source book Geocomputation with R (Lovelace, Nowosad, and Meunchow 2019).
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Upcoming start dates
Suitability - Who should attend?
Who should attend?
The course is open to students, academic staff and external Participants.
Outcome / Qualification etc.
By the end of the course participants should:
- Be able to use R and RStudio as a powerful Geographic Information System (GIS)
- Know how R’s spatial capabilities fit within the landscape of open source GIS software
- Be confident with using R’s command-line interface (CLI) and scripting capabilities for geographic data processing
- Understand how to import a range of data sources into R
- Be able to perform a range of attribute operations such as subsetting and joining
- Understand how to implement a range of spatial data operations including spatial subsetting and spatial aggregation
- Have the confidence to output the results of geographic research in the form of static and interactive maps
Expenses
Please contact the university for more information regarding tuition fees for this program.