GeoPressureR is a R package which help researchers construct the trajectory of a bird equipped with an atmospheric pressure sensor. The package is a direct implementation of methods presented in Nussbaumer et al. (2023a) and Nussbaumer et al. (2023b).

The best way to install the GeoPressureR package is through Github

# install.packages("pak")
pak::pkg_install("Rafnuss/GeoPressureR")

The GeoPressureManual is a great place to start learning about how to use GeoPressureR.

Using the examples, this user guide takes you through each step of the analysis in detail.

Once you are familiar with the workflow of the method and want to start your own study, we suggest you use GeoPressureTemplate, a github template repository which provides a standard code structure for your analysis.

Using this standardized code structure you will help you on many aspect: code sharing and troubleshooting, data archiving, work reproducibility.

Make sure to cite the correct reference (R package, papers of the underlying methods and/or user manual) according to your use:

Nussbaumer, R., & Gravey, M. (2022). GeoPressureR: Global positioning by atmospheric pressure. Zenodo. https://doi.org/10.5281/zenodo.7754457. Available at: https://github.com/Rafnuss/GeoPressureR

Nussbaumer, R., Gravey, M., Briedis, M., & Liechti, F. (2023). Global positioning with animal-borne pressure sensors. Methods in Ecology and Evolution, 14(4), 1104–1117. https://doi.org/10.1111/2041-210X.14043

Nussbaumer, R., Gravey, M., Briedis, M., Liechti, F., & Sheldon, D. (2023). Reconstructing bird trajectories from pressure and wind data using a highly optimised hidden Markov model. Methods in Ecology and Evolution, 14(4), 1–32. https://doi.org/10.1111/2041-210X.14082

Nussbaumer, R., & Nussbaumer, A. (2024). GeoPressureManual: Learn how to use GeoPressureR with examples. Zenodo. https://doi.org/10.5281/zenodo.10799355. Available at: https://github.com/Rafnuss/GeoPressureManual

Get citation information in R with citation("GeoPressureR").