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Monitoring and Analysis","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"---\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file and use devtools::build_readme() --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n# GeoPressureR \u003cimg src=\"man/figures/logo.png\" align=\"right\" height=\"139\"/\u003e\n\n\u003c!-- badges: start --\u003e\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7754457.svg)](https://doi.org/10.5281/zenodo.7754457)\n[![R-CMD-check](https://github.com/GeoPressure/GeoPressureR/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/GeoPressure/GeoPressureR/actions/workflows/R-CMD-check.yaml)\n[![pkgdown](https://github.com/GeoPressure/GeoPressureR/actions/workflows/pkgdown.yaml/badge.svg)](https://github.com/GeoPressure/GeoPressureR/actions/workflows/pkgdown.yaml)\n[![Codecov test coverage](https://codecov.io/gh/GeoPressure/GeoPressureR/graph/badge.svg)](https://app.codecov.io/gh/GeoPressure/GeoPressureR)\n[![lint](https://github.com/GeoPressure/GeoPressureR/actions/workflows/jarl-check.yml/badge.svg)](https://github.com/GeoPressure/GeoPressureR/actions/workflows/jarl-check.yml)\n[![format](https://github.com/GeoPressure/GeoPressureR/actions/workflows/format-check.yaml/badge.svg)](https://github.com/GeoPressure/GeoPressureR/actions/workflows/format-check.yaml)\n[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)\n\u003c!-- badges: end --\u003e\n\n**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](https://doi.org/10.1111/2041-210X.14043)) and Nussbaumer et al. ([2023b](https://doi.org/10.1111/2041-210X.14082)). \n\n## Installation\n\nThe best way to install the GeoPressureR package is through Github\n\n``` r\n# install.packages(\"pak\")\npak::pkg_install(\"GeoPressure/GeoPressureR\")\n\n# Development version:\npak::pkg_install(\"GeoPressure/GeoPressureR@dev\")\n```\n\n## Learn how to use GeoPressureR\n\nThe [GeoPressureManual](https://geopressure.org/GeoPressureManual/) is a great place to start learning about how to use GeoPressureR.\n\nUsing the examples, this user guide takes you through each step of the analysis in detail.\n\n\u003cp align=\"center\"\u003e\n\u003ca href=\"https://geopressure.org/GeoPressureManual/\"\u003e\u003cimg src=\"https://github.com/GeoPressure/GeoPressureManual/raw/main/assets/cover.png\" style=\"margin: 0 1rem 0 1rem;box-shadow: 0 .5rem 1rem rgba(0,0,0,.15);\" align=\"center\" width=\"250\" height=\"328\"\u003e\u003c/a\u003e\u003c/p\u003e\n\n## Start your own analysis\n\nOnce you are familiar with the workflow of the method and want to start your own study, we suggest you use [GeoPressureTemplate](https://github.com/GeoPressure/GeoPressureTemplate), a [github template repository](https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-template-repository) which provides a standard code structure for your analysis. \n\nUsing this standardized code structure you will help you on many aspect: code sharing and troubleshooting, data archiving, work reproducibility.\n\n## Cheatsheet\n\n\u003ca href=\"https://github.com/GeoPressure/GeoPressureR/raw/master/man/figures/cheatsheet.pdf\" target=\"_blank\"\u003e\n\u003cimg src=\"man/figures/cheatsheet-01.png\" width=\"350\"/\u003e\n\u003cimg src=\"man/figures/cheatsheet-02.png\" width=\"350\"/\u003e\n\u003c/a\u003e\n\n## How to cite?\n\nMake sure to cite the correct reference (R package, papers of the underlying methods and/or user manual) according to your use:\n\n\u003e Nussbaumer, R., \u0026 Gravey, M. (2022). *GeoPressureR: Global positioning by atmospheric pressure.* Zenodo. [https://doi.org/10.5281/zenodo.7754457](https://doi.org/10.5281/zenodo.7754457). Available at: [https://github.com/GeoPressure/GeoPressureR](https://github.com/GeoPressure/GeoPressureR)\n\n\u003e Nussbaumer, R., Gravey, M., Briedis, M., \u0026 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](https://doi.org/10.1111/2041-210X.14043)\n\n\u003e Nussbaumer, R., Gravey, M., Briedis, M., Liechti, F., \u0026 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](https://doi.org/10.1111/2041-210X.14082)\n\n\u003e Nussbaumer, R., \u0026 Nussbaumer, A. (2024). *GeoPressureManual: Learn how to use GeoPressureR with examples.* Zenodo. [https://doi.org/10.5281/zenodo.10799355](https://doi.org/10.5281/zenodo.10799355). Available at: [https://github.com/GeoPressure/GeoPressureManual](https://github.com/GeoPressure/GeoPressureManual)\n\nGet citation information in R with `citation(\"GeoPressureR\")`.\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.5281/zenodo.7754457","https://doi.org/10.1111/2041-210X.14043","https://doi.org/10.1111/2041-210X.14082","https://doi.org/10.5281/zenodo.10799355"],"works":{"https://doi.org/10.5281/zenodo.7754457":null,"https://doi.org/10.1111/2041-210X.14043":{"id":"https://openalex.org/W4315481294","doi":"https://doi.org/10.1111/2041-210x.14043","title":"Global positioning with animal‐borne pressure sensors","display_name":"Global positioning with animal‐borne pressure 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