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Table 6 List of abbreviations used in this study

From: Analysis of local habitat selection and large-scale attraction/avoidance based on animal tracking data: is there a single best method?

Abbreviation Explanation
SLRM ‘spatial logistic regression model’; pure spatial approach for analysing tracking data
ST-PPM ‘spatio-temporal point process model’; spatio-temporal approach for analysing tracking data, developed from an Eulerian point of view
SSM ‘step selection model’ (also called ‘step selection function /SSF’ or ‘step selection analysis / SSA’); spatio-temporal approach for analysing tracking data, developed from a Lagrangian point of view
iSSM ‘integrated step selection model’; integrating the SSM approach with a mechanistic movement model
MCP ‘minimal convex polygon’; minimal convex polygon containing all tracking points, for estimation of the minimum home rage
GLM ‘generalized linear model’; extension of linear regression models for non-normally distributed data
GAM ‘generalized additive model’; extension of GLM to describe non-linear (‘additive’) dependencies
GEE ‘generalized estimation equation’; estimation method for parameters of a GLM with possible unknown correlation between outcomes
GLMM ‘generalized linear mixed model’; extension of GLM to describe outcome correlation with random effects
LASSO ‘least absolute shrinkage and selection operator’; technique for model selection that can especially cope with a high number of possible predictors