Too few, too many, or just right? Optimizing sample sizes for population-level inferences in animal tracking projects
This paper proposes a flexible workflow, implemented in the `movedesign` R Shiny application, to optimize animal tracking study designs by balancing sampling duration, frequency, and population size against logistical constraints to ensure robust, unbiased population-level inferences for movement and space use.