Théo Michelot has made a career out of tackling tough ecological questions using time-series data. How do scientists turn a series of GPS location observations over time into useful behavioral data? GPS tech has improved to the point that modern data sets are large and complex. In this episode, Théo takes us through his research and the application of Hidden Markov Models to complex time series data. If you have ever wondered what biologists do with data from those GPS collars you have seen on TV, this is the episode for you!
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
NPR News: 12-08-2025 2AM EST
08 Dec 2025
NPR News Now
NPR News: 12-07-2025 11PM EST
08 Dec 2025
NPR News Now
NPR News: 12-07-2025 10PM EST
08 Dec 2025
NPR News Now
Meidas Health: AAP President Strongly Pushes Back on Hepatitis B Vaccine Changes
08 Dec 2025
The MeidasTouch Podcast
Democrat Bobby Cole Discusses Race for Texas Governor
07 Dec 2025
The MeidasTouch Podcast
Fox News Crashes Out on Air Over Trump’s Rapid Fall
07 Dec 2025
The MeidasTouch Podcast