🛰🐦 Bird tracking - GPS tracking network for large birds

R package to access data from the European Tracking Network

R functions to dead-reckon reckon animal movement from raw motion sensor data

LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing

Acoustic telemetry data 🔊🐟

R package for working with Wildlife Computers data formats. Maintained by Josh London (@jmlondon / josh.london@noaa.gov)

Particle filters, smoothers and sampling algorithms for animal movement modelling, with a focus on passive acoustic telemetry systems.

R Package: Routines for the analysis of passive acoustic telemetry data (Lavender et al., 2023).

Python code to handle data gathered from biologgers (GPS, TDR, AXY) attached to central-place foraging seabirds. The idea is to make movement ecology data a bit easier to process.

R package to prepare animal tracking data from Movebank for publication in a research repository, GBIF or OBIS

R package to serve data from the European Tracking Network over a restful api

Particle filters, smoothers and sampling algorithms for animal movement modelling, with a focus on passive acoustic telemetry systems.

R analysis to process PSAT data, supplement to 'Seasonal habitat use and diel vertical migration in female spurdog (Squalus acanthias Linnaeus, 1758) in Nordic waters'

🦅 R package to annotate GPS tracking data of gulls

Maintained by Josh London (@jmlondon / josh.london@noaa.gov)

Learning resources for users of the `patter` R package

Analysis of migration patterns of western marsh harriers using GPS tracking data for Vansteelant et al. (2020)

This repository contains the code used to process and quality control northern elephant seal diving and tracking data, combine processed tracks and dive statistics, and output the data for each instrument deployment into a netCDF (.nc) file.

A home range estimation framework based on Ranc et al. 2022

STAG — Sensor-based Tracking and Analysis of Gait. Unsupervised behavioural phenotyping for farmed red deer from head + ear accelerometers: k-means prototype discovery, first-order Markov sequence analysis, and embedded real-time deployment benchmarked across ten microcontroller classes from 8-bit AVR to Cortex-M7.