Electronic Tagging Geolocation Packages Repository
This site provides a collection of statistical models to estimate position errors, movement model parameters, and most probable positions from tracking data. This project is a joint effort from Pelagic Fisheries Research Program (PFRP) of Joint Institute for Marine & Atmospheric Research, University of Hawaii at Manoa and Large Pelagics Research Center of University of Massachusetts Boston.
Recommended reading
Here we have selected a few key papers to understand the models better. For a more complete reading list, refer to our publication wiki page.
- Trackit with SST - Lam, Chi H., Anders Nielsen, and John R. Sibert, 2010. Incorporating sea-surface temperature to the light-based geolocation model TrackIt. Marine Ecology Progress Series MEPS 419:71-84.
- Trackit - Nielsen, Anders, and John R. Sibert, 2007. State-space model for light-based tracking of marine animals. Can. J. Fish. Aquat. Sci. 64: 1055-1068.
- Ukfsst - Lam, Chi H., Anders Nielsen, and John R. Sibert, 2008. Improving light and temperature based geolocation by unscented Kalman filtering. Fisheries Research, 91: 15-25.
- Kftrack - Sibert, J.R., Musyl, M.K., Brill, R.W., 2003. Horizontal movements of bigeye tuna (Thunnus obesus) near Hawaii determined by Kalman filter analysis of archival tagging data. Fisheries Oceanography, 12(3):141-151.
Contact us
Feel free to contact us at <tagtuna@gmail.com> for any comments or questions, or leave us a comment on this site. We look forward to getting feedback and suggestions for any improvements to the on-going development.
A joint effort of Pelagic Fisheries Research Program and Large Pelagics Research Center