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26 Dec Using GPE3 to Improve Geolocation Estimates

Posted at h in Newsletter by Nanci Taplett

Using light to estimate your position on the globe is not new; mariners used celestial navigation for centuries before modern technologies like LORAN (developed in the s) and GPS (developed in the s) became available.

Using light to estimate animals’ locations is not new either, and Wildlife Computers was at the forefront of implementing geolocation algorithms on electronic tags as early as

What is new is the growing cadre of smart researchers figuring out the best ways to improve geolocation estimates using robust statistical models.

Estimates are improved by using all kinds of complementary environmental data, such as tidal heights, magnetic fields, temperatures at particular depths, and by applying barriers to prevent movement on land. Newer models produce statistical measures of uncertainty and many can accommodate prior information in a Bayesian framework.

Wildlife Computers evolve