Essential tools to remove biases in spatial data using R

Date: May 21th 2019, 12.00-17.00

Place: Gothenburg Global Biodiversity Center, Carl Skottsbergs gata 22B, Gothenburg, Room 10 (Sal 10)

Description:

In this workshop we will cover common challenges that arise with any kind of spatial coordinate data in biology. Knowledge of the tools introduced in this workshop is essential when presenting spatial biological data (e.g. a map of sampling sites) in presentations or publications.

More specifically we will discuss strategies to deal with the non-independence of spatial data points also known as spatial autocorrelation. Further we will address challenges arising in global analyses from the simple fact that the earth is round. We will also touch upon some of the globally available environmental predictors often applied in spatial analyses and their potential challenges.

Participants are required to have basic knowledge of the R programming language and we assume that the participants are familiar with basic spatial operation in R. In case of doubt, we encourage participants to review the tutorial of our previous workshop ”Handling spatial data in R” here.

Course teachers: Søren Faurby, Tobias Andermann, Matthias Obst

Recommended background: Basic R knowledge required

Course level: PhD level (motivated Master’s students welcome)

Food: Lunch will be provided for all course participants

Application: Send a short motivation (5 lines stating goals and expectations) to matthias.obst@marine.gu.se latest by 14th May 2019.

Contact: Søren Faurby (soren.faurby@bioenv.gu.se), Tobias Andermann (tobias.andermann@bioenv.gu.se), Matthias Obst (matthias.obst@marine.gu.se)

Accessing biodiversity data through web services

Date: April 30th 2019, 12.00-16.00

Place: Gothenburg Global Biodiversity Center, Carl Skottsbergs gata 22B, Gothenburg, Room 6 (Sal 6)

Description: The workshop ‘Accessing biodiversity data through web services‘ will focus on automated ways of retrieving and processing biodiversity data from public databases. We will mostly be working in the R programming environment and introduce common R-packages and functions to retrieve publication-quality (DOI-assigned) species occurrence data from the Global Biodiversity Information Facility (GBIF). Further we will cover the most important steps of data cleaning and filtering, including taxonomic filtering to account for the variation of species name synonyms and misspellings using the package taxise. The tutorial will also include common approaches to download occurrences of a larger taxonomic group, such as a family or order. Finally we will cover fancy plotting options to best display the retrieved biodiversity data, including plotting on interactive maps.

Course teachers: Tobias Andermann, Matthias Obst

Recommended background: Basic R knowledge required

Course level: PhD level (motivated Master’s students welcome)

Food: Lunch will be provided for all course participants

Application: Send a short motivation (5 lines stating goals and expectations) to matthias.obst@marine.gu.se latest by 23rd April 2019.

Contact: Tobias Andermann (tobias.andermann@bioenv.gu.se), Matthias Obst (matthias.obst@marine.gu.se)