Spatial Analysis in R [Virtual course]
An introduction to accessing spatial biodiversity data and spatial analysis in R
Description: During this three-day workshop you will learn how to work with spatial biodiversity data in R, starting with the very basics. The course is split into three days, which you can also choose to attend individually. On the first day you will be introduced to the basic R syntax for dealing with the most common spatial data types, such as points, lines, polygons, and rasters. During the second day we will use specific R-packages that allow you to mine large biological data sets from big data platforms such as IUCN and GBIF. We will apply these data, which mostly consist of species occurrences and distribution maps, for downstream analyses and will be displaying the data in different types of plots. On the third day we will delve more deeply into statistical analyses involving spatial data, including dealing with spatial auto-correlation and corrections for different map projections.
At the end of this workshop you will be equipped with the knowledge and tools to produce publication quality spatial analyses and figures for presenting spatial biodiversity data in your research. We encourage you to bring your own data and problems, which we can help you tackle during the course.
Recommended background: Basic knowledge and experience in R or other programming languages
Course level: PhD level (motivated Master's students welcome)
Application: A short motivation (5 lines stating goals and expectations) should be submitted to email@example.com latest by May 4th, 2020.
Contact: Tobias Andermann (firstname.lastname@example.org), Matthias Obst (email@example.com)
Contact Hugo de Boer for ForBio related questions.