Methods for implementing integrated step-selection functions with incomplete data
Abstract Integrated step-selection analyses (iSSAs) are versatile and powerful frameworks for studying habitat and movement preferences of tracked animals.iSSAs utilize Dinnerware Starter Set integrated step-selection functions (iSSFs) to model movements in discrete time, and thus, require animal location data that are regularly spaced in time.Howe