Browsing by Subject "animal movement"

Now showing 1 - 3 of 3
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    R Code and Output Supporting: Used-habitat calibration plots: A new procedure for validating species distribution, resource selection, and step-selection models
    (2016-08-11) Fieberg, John R; Forester, James D; Street, Garrett M; Johnson, Douglas H; ArchMiller, Althea A; Matthiopoulos, Jason; jfieberg@umn.edu; Fieberg, John R
    Species distribution models (SDMs) are one of a variety of statistical methods that link individuals, populations, and species to the habitats they occupy. In Fieberg et al. "Used-habitat calibration plots: A new procedure for validating species distribution, resource selection, and step-selection models", we introduce a new method for model calibration, which we call Used-Habitat Calibration plots (UHC plots) that can be applied across the entire spectrum of SDMs. Here, we share the Program R code and data necessary to replicate all three of the examples from the manuscript that together demonstrate how UHC plots can help with three fundamental challenges of habitat modeling: identifying missing covariates, non-linearity, and multicollinearity.
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    R code associated with Evaluating goodness-of-fit of animal movement models using lineups
    (2023-10-02) Fieberg, John; Freeman, Smith; Signer, Johannes; Jfieberg@umn.edu; Fieberg, John; Fieberg lab
    This repository contains data and R code (along with associated output from running the code) presented in: Fieberg, J., Freeman, S. and J. Signer. Evaluating goodness-of-fit of animal movement models using lineups.
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    R code associated with Methods for Implementing Integrated Step-Selection Functions with Incomplete Data
    (2023-10-26) Hofmann, David D; Cozzi, Gabriele; Fieberg, John R; Jfieberg@umn.edu; Fieberg, John R; Fieberg lab
    This repository contains R code (along with associated output from running the code) presented in: Hofmann, D. D., G. Cozzi, and J. Fieberg. Methods for Implementing Integrated Step-Selection Functions with Incomplete Data.