Dear all, We are happy to share the first release of AISanalyze on CRAN (https://CRAN.R-project.org/package=AISanalyze), with major improvements to its documentation and R functions.
AIS data are now essential for assessing maritime traffic risks to marine species, yet their use in research remains constrained by high computational demands and GPS errors; AISanalyze addresses these by providing a fast, simple and reproducible workflow to prepare AIS data for ecological analyses. Through user-friendly functions, it * estimates vessel speeds, * corrects GPS errors, * interpolates vessel trajectories, * extracts vessel positions around target locations and times, * retrieves vessel information (type, length, etc.), * identifies base stations and aircraft, with outputs readily usable for further analyses. Documentation: https://remip48.github.io/AISanalyze/ Step-by-step workflow: https://remip48.github.io/AISanalyze/articles/AISanalyze.html List of functions and example datasets: https://remip48.github.io/AISanalyze/reference/index.html Install the package in R: install.packages("AISanalyze") If you use the package, we would love to hear your feedback and ideas to improve and accelerate the use of AIS data by the community! Automated tools are essential for processing the millions of AIS data points, facilitating their use, and better understanding maritime traffic risks to marine ecosystems. Best regards, Remi Pigeault Institute for Terrestrial and Aquatic Wildlife Research (ITAW) University of Veterinary Medicine Hannover, Foundation Werftstr. 6, 25761 Buesum Germany GitHub: https://github.com/remip48/AISanalyze
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