An Algorithm for Empirically Informed Random Trajectory Generation Between Two Endpoints

What:
Presentation
When:
Wednesday Sep 28   02:30 PM to 02:50 PM (20 minutes)
Tags:
movement simulationmovement modellingempirical distributionsrandom walktrajectory generationmovement ecologyanimal movement
Discussion:
0
We present a method to create empirically informed, and thus realistic, random trajectories between two endpoints. The method used relies on empirical distribution functions, which define a dynamic drift expressed in a stepwise joint probability surface. We create random discrete time-step trajectories that connect spatiotemporal points while maintaining a predefined geometry, often based on real observed trajectories. The resulting trajectories have multiple uses, such as to generate null models for hypotheses testing, to serve as a basis for resource selection models, through the integration of spatial context and to quantify space use intensity.
Participant
University of Zurich
Participant
University of Zurich
Participant

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