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Xcertainty (version 1.0.0)

Estimating Lengths and Uncertainty from Photogrammetric Imagery

Description

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, ).

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Install

install.packages('Xcertainty')

Monthly Downloads

532

Version

1.0.0

License

MIT + file LICENSE

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Repository

https://github.com/MMI-CODEX/Xcertainty

Maintainer

K.C. Bierlich

Last Published

October 21st, 2024

Functions in Xcertainty (1.0.0)

combine_observations

Combine parsed observations into a single parsed object

Compute body condition metrics for a set of measurements

growth_curve_sampler

MCMC sampler for measurements of individuals with replicates and age information to generate growth curve

Gray whale metadata

Calibration (training) data

Calibration (training) data from Duke University's Marine Robotics and Remote Sensing (MaRRS) Lab

Gray whale measurement data

independent_length_sampler

MCMC sampler for individuals with independent measurements.

nondecreasing_length_sampler

MCMC sampler for measurements of individuals with replicates but no age information.

Reformat photogrammetric data for model-based analysis

parse_observations

Pre-process training and experimental data from wide-format to long-format

Gray whale metadata

body_condition_measurements

Humpback whale measurement data from Duke University's Marine Robotics and Remote Sensing (MaRRS) Lab

calibration_sampler

MCMC sampler for calibration data

body_condition_measurement_estimates

Sample MCMC output

Calibration (training) data for gray whale example

Break function (required in models)