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Light-level geolocation has tremendous potential for generating information about bird migration, but the reconstruction of reliable locations from light-level data can be challenging. This workshop will provide participants with hands-on training (ideally using their own data) with several analysis packages within the R environment that can generate locations from light-level data. Participants will compare different approaches to filtering and smoothing their data to understand how these methods work and how they can be used to address a variety of scientific questions. We will begin with simple thresholding methods and accessory analyses (e.g. GeoLight and KFtrack) and progress through some recent, more advanced analysis packages (e.g., SGAT and FlightR). The workshop will enable participants to make the most of their geolocator data and derive not just location estimates but also uncertainty metrics for those estimates. We will also present helpful techniques for assessing migration phenologies, categorizing stationary and migratory periods, and graphcially presenting results. This two-day workshop will convene the morning of Monday July 27 and will continue throughout the next day. We will begin with an introduction to preliminary tasks such as importing and formatting raw data, manual editing, and initial data visualization. Late arrivals may miss out on these preliminaries and still get a lot out of the workshop, especially if they are advanced R users or have conducted their own geolocator analyses in R. Schedule: Two-day workshop — Monday July 27 (9am to 5pm) and Tuesday, July 28 (8am to 5pm).