Wahoo is a Julia package for tracking the movement of marine animals
using probabilistic state-space models. The inference is based on a
spatial discretization and employs a convolution-based algorithm
instead of particle filters. This allows Wahoo to perform well even
for benthic animals in areas with very rugged bathymetry.
For more information, please see the documentation.
The filter and smoother implementation is based on:
Thygesen, Uffe Høgsbro, Martin Wæver Pedersen, and Henrik Madsen. 2009. “Geolocating Fish Using Hidden Markov Models and Data Storage Tags.” In Tagging and Tracking of Marine Animals with Electronic Devices, 277–93. Dordrecht: Springer Netherlands. https://doi.org/10.1007/978-1-4020-9640-2_17.
The example bathymetry data is derived from the following survey:
Howe JA, Anderton R, Arosio R, et al. The seabed geomorphology and geological structure of the Firth of Lorn, western Scotland, UK, as revealed by multibeam echo-sounder survey. Earth and Environmental Science Transactions of the Royal Society of Edinburgh. 2014;105(4):273-284. https://doi.org/10.1017/S1755691015000146