Introduction to spatial analysis of ecological data using R (ISPE02) FREE ACCOMMODATION AVAILABLE
This course will be delivered by Dr Jakub Nowasad from the 3rd - 7th February in Glasgow
FREE ACCOMMODATION is available for people working in academia and for
The aim of the course is to introduce you to a spatial data processing, analysis, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures, computer exercises and case studies.
By the end of the course participants should:
Understand the basic concepts of spatial data analysis
1) Know R’s spatial capabilities
2) Understand how to import a range of spatial data sources into R
3) Be confident with using R’s command-line interface (CLI) for spatial data processing
4) Be able to perform a range of attribute operations (e.g. subsetting and joining), spatial operations (e.g. distance relations, topological relations), and geometry operations (e.g. clipping, aggregations)
5) Understand coordinate reference systems (CRSs), be able to decide which CRS to use, and how to reproject spatial data
6) Know how to visualize the results of a spatial analysis in the form of static and interactive maps
7) Have the confidence to apply spatial analysis skills to their own projects
For more details or to request an invoice please email email@example.com or use the link to book via our website.
Oliver Hooker PhD.
A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019).