Estimating Lengths and Uncertainty from Photogrammetric Imagery
Compute body condition metrics for a set of measurements
Break function (required in models)
MCMC sampler for calibration data
Combine parsed observations into a single parsed object
Reformat photogrammetric data for model-based analysis
MCMC sampler for measurements of individuals with replicates and age i...
MCMC sampler for individuals with independent measurements.
MCMC sampler for measurements of individuals with replicates but no ag...
Pre-process training and experimental data from wide-format to long-fo...
Implementation of Bayesian models for estimating object lengths and morphological relationships between object lengths using photographic data collected from drones. The Bayesian model is described in "Bayesian approach for predicting photogrammetric uncertainty in morphometric measurements derived from drones" (Bierlich et al., 2021, <doi:10.3354/meps13814>).