Novel computational methods in wildlife research

Many of our research projects require new computational methods for processing and evaluating the data obtained. We develop these analysis tools either ourselves or in cooperation with partners, and also make them available to third parties.

Project details
Duration: since 09/2016
Third-party funded: no
Involved Department(s): Dept Evolutionary Genetics
Leibniz-IZW Project Leader(s): Alexandre Courtiol (Dept Evolutionary Genetics)
Leibniz-IZW Project Team: Liam Bailey, Colin Vullioud (all: Dept Evolutionary Genetics)
Consortium Partner(s): -
Current Funding Organisation: -
Research Foci: Developing theories, methods, and tools
Many of our research projects require new approaches for processing and evaluating the data obtained. We develop computational methods to solve outstanding problems for ecologists and evolutionary biologists, which we distribute to the community by means of packages in the open source statistical software R. We identify challenging computational tasks in the research projects in which we are involved and implement general solutions that can be used by others. To complete these tasks, we combine our detailed biological knowledge on the topics with our practical knowledge of computer programming. Some of the tools we have created (or significantly contributed to) are used by many scientists all around the world  (e.g. camtrapR).

Selection of already established methods and tools:

2021: Presentation "Using R6 object-oriented programming to build agent-based models"

Selected Publications

Courtiol A, Rousset F, Rohwäder M-S, Soto DX, Lehnert LS, Voigt CC, Hobson KA, Wassenaar LI, Kramer-Schadt S (2019): Isoscape computation and inference of spatial origins with mixed models using the R package IsoriX. Tracking Animal Migration with Stable Isotopes (Eds. Hobson K & Wassenaar LI, Academic Press), Chapter 9, 207-236. doi:10.1016/B978-0-12-814723-8.00009-X.

Fasel N, Vullioud C, Genoud M (2022): Assigning metabolic rate measurements to torpor and euthermy in heterothermic endotherms: "torpor", a new package for R. BIOL OPEN 11, bio059064. doi:10.1242/bio.059064.

Rousset F, Gouy A, Martinez-Almoyna C, Courtiol A (2017): The summary likelihood method and its implementation in the Infusion package. MOL ECOL RESOUR 17, 110-119. doi:10.1111/1755-0998.12627.

Niedballa J, Sollmann R, Courtiol A, Wilting A (2016): camtrapR: An R package for efficient camera trap data management. METHODS ECOL EVOL 7, 1457-1462. doi:10.1111/2041-210X.12600.