Flexible movement kernel estimation in habitat selection analyses with generalized additive models

Flexible movement kernel estimation in habitat selection analyses with generalized additive models

Abstract Habitat selection analysis includes resource selection analysis (RSA) and step selection analysis (SSA). These frameworks are used in order to understand space use of animals. Particularly, the SSA approach specifies the area available to the animal through a movement kernel. This movement...

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Bibliographic Details
Main Authors: Rafael Arce Guillen, Jennifer Pohle, Florian Jeltsch, Manuel Roeleke, Björn Reineking, Natasha Klappstein, Ulrike Schlägel
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Methods in Ecology and Evolution
Subjects:
animal movement
generalized additive models
habitat selection
mgcv
spatial statistics
step selection analysis
Online Access:https://doi.org/10.1111/2041-210X.70086
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https://doi.org/10.1111/2041-210X.70086

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