Are you a scientist involved in movement ecology working with biologging data collected from central-place foraging seabirds? cpforager is a Python package designed to help you manipulate, process, analyse and visualise the biologging datasets with ease.

The main objectives of cpforager are :

1. Efficiently handle large-scale biologging datasets, including high-resolution sensor data (e.g. accelerometers).
2. Provide a modular and extensible architecture, allowing users to tailor the code to their specific research needs.
3. Facilitate a smooth transition to Python for movement ecology researchers familiar with other languages (e.g. R).

cpforager package supports various biologging sensor types commonly used in movement ecology and provides the following core classes:

• GPS : for handling position recordings.
• TDR : for handling pressure recordings.
• AXY : for handling tri-axial acceleration recordings at high resolution combined with lower resolution position and pressure recordings.
• GPS_TDR : for handling position and pressure recordings.

cpforager also allows to deal with a list of sensors using the following classes:

• GPS_Collection : for working with datasets composed of multiple GPS loggers.
• TDR_Collection : for working with datasets composed of multiple TDR loggers.
• AXY_Collection : for working with datasets composed of multiple AXY loggers.
• GPS_TDR_Collection : for working with datasets composed of multiple GPS_TDR loggers.

Each class automatically enhances raw data but also computes key features specific to each biologger (e.g. trip segmentation for GPS, dive segmentation for TDR, ODBA calculation for AXY). They are also accompanied with methods for data processing and visualisation.