estimate_hr: Estimate home range from simulated movement data

In movedesign: Study Design Toolbox for Movement Ecology Studies

Estimate home range from simulated movement data

Description

Estimates home range areas for each simulated movement dataset using the Autocorrelated Kernel Density Estimator (AKDE) via ctmm::akde(). This function is intended for use within simulation workflows where home range calculations are needed for each simulated individual.

Usage

estimate_hr(rv)

Arguments

rv

A reactiveValues list containing, at a minimum: simList: A list of simulated movement datasets (e.g., telemetry tracks). simfitList: A list of fitted movement models, each corresponding to an entry in simList. Each movement dataset in simList should be compatible with ctmm::akde(), and each fitted model in simfitList should correspond to its respective simulated dataset.

Value

A named list of ctmm objects, each representing an AKDE home range estimate for the corresponding simulation. If AKDE estimation fails for a simulation (e.g., due to poor model fit or data issues), the result for that simulation will be NULL.

Note

This function is intended for internal use and may assume inputs follow specific structure and constraints not referenced explicitly.

See Also

ctmm::akde() for details on home range estimation.

movedesign documentation built on Aug. 8, 2025, 6:47 p.m.