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Continuous-time encounter measures and their estimation

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MMVW03 - Measures and Representations of Interactions

Animal tracking data comprise locations sampled at discrete times, which may only provide a sparse representation of the true movement path, and where the sampled times may not be synchronous across individuals. Therefore, measures that test for encounters only at sampled times can miss encounters that occur during the observation period, and will yield differentially biased encounter-rate estimates, with more underestimation at coarser sampling rates and for more tortuous movement processes. In this talk, I discuss measures based on continuous-time stochastic process models that avoid these biases and provide uncertainty estimates that reflect imperfect observation.

This talk is part of the Isaac Newton Institute Seminar Series series.

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