J. Fieberg

Step selection analysis with non-linear and random effects in mgcv

This paper extends step selection analysis by incorporating non-linear and random effects using penalised smooths in the mgcv R package, enhancing flexibility and biological realism in modeling animal movement and habitat selection.

Methods for Implementing Integrated Step-Selection Functions with Incomplete Data

The paper evaluates methods for handling incomplete data in integrated step-selection analyses by comparing alternative approaches to a baseline method that ignores temporal irregularity.

Evaluating goodness-of-fit of animal movement models using lineups

The paper evaluates goodness-of-fit for animal movement models using the lineup protocol, demonstrating its application to fisher data with integrated step-selection and hidden Markov models.

Identifying signals of memory from observations of animal movements

The paper reviews methods to incorporate memory into movement models using wildlife tracking data and provides code examples for implementation.

Simulating animal space use from fitted integrated Step-Selection Functions (iSSF)

This paper introduces an R package to simulate animal space use from fitted integrated Step-Selection Functions (iSSFs) to better understand movement ecology.

Modeling individual variability in habitat selection and movement using integrated step-selection analyses

The paper develops methods to model individual variability in habitat selection and movement using integrated step-selection analyses with random effects, applied to red snapper data.

A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha)

The paper compares survey methods for estimating zebra mussel densities, finding that efficiency varies with population density and survey design.

Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets

This paper demonstrates using piecewise regression to detect biological shifts in biotelemetry data across species and phenomena, using the mcp package in R.

A "How-to" Guide for Interpreting Parameters in Habitat-Selection Analyses

This paper provides a guide to interpreting parameters in habitat-selection analyses using weighted distribution theory and the amt package.

A fresh look at an old concept: Home-range estimation in a tidy world

This paper provides a computational framework for home-range estimation that simplifies comparison of different estimators and their impact on biological conclusions.

Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation

This paper develops efficient methods for fitting mixed-effects models in habitat-selection studies using Bayesian and frequentist approaches, demonstrating their effectiveness with real and simulated data.