2021
DOI: 10.1111/1365-2656.13441
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A ‘How to’ guide for interpreting parameters in habitat‐selection analyses

Abstract: New technologies (e.g. improved Global Positioning System [GPS] collars) and advances in remote sensing have made it possible to collect animal location data on unprecedented spatial and temporal scales (Kays et al., 2015;Robinson et al., 2020), which in turn has fuelled the development of new methods for modelling animal movement and for linking individuals to their environments (Guisan et al., 2017;Hooten et al., 2017). Two of the most popular approaches for analysing telemetry data, habitat-selection fun… Show more

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Cited by 170 publications
(232 citation statements)
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References 87 publications
(144 reference statements)
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“…These approaches worked well for simpler formulations of our model, providing very similar outputs as obtained without random slopes, however they failed to provide outputs as soon as the model became more complex (e.g., inclusion of interactions and nested random slopes) due to convergence issues. Indeed, these models can be challenging to fit [ 28 , 45 ]. We also tried to use the two-step approach described in Craiu et al [ 20 ], but this was not applicable as the values of several variables in our model remained constant within all strata of at least one cluster.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…These approaches worked well for simpler formulations of our model, providing very similar outputs as obtained without random slopes, however they failed to provide outputs as soon as the model became more complex (e.g., inclusion of interactions and nested random slopes) due to convergence issues. Indeed, these models can be challenging to fit [ 28 , 45 ]. We also tried to use the two-step approach described in Craiu et al [ 20 ], but this was not applicable as the values of several variables in our model remained constant within all strata of at least one cluster.…”
Section: Discussionmentioning
confidence: 99%
“…We also tried to use the two-step approach described in Craiu et al [ 20 ], but this was not applicable as the values of several variables in our model remained constant within all strata of at least one cluster. This is the main limitation of the two-step approach [ 20 , 28 , 45 ]. The R code used to run all the above-mentioned models is provided in Additional file 1 .…”
Section: Discussionmentioning
confidence: 99%
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“…We used integrated step‐selection functions (iSSA; Avgar et al., 2016; Fieberg et al., 2021) to model habitat selection and movement of foxes. The iSSA method compares covariates at the end point of each realized step (a straight line connecting consecutive relocations of individual foxes) with a set of control steps.…”
Section: Methodsmentioning
confidence: 99%