K-select analysis: a new method to analyse habitat selection in radio-tracking studies

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Using species distribution models in paleobiogeography: A matter of data, predictors and concepts (2011, methodology): “In the absence of such information, several statistical techniques can be used to select the most appropriate set of explanatory variables for SDMs, based on either presence (Calenge et al., 2005; Basille et al., 2008) or presence/absence data (Murtaugh, 2009).”
The package “adehabitat” for the R software: A tool for the analysis of space and habitat use by animals (2006, methodology): “Thus, several functions allow the computation of selection ratios (Manly et al., 2002), compositional analysis (Aebischer et al., 1993), K-select analysis (Calenge et al., 2005) or Ecological Niche Factor Analysis (ENFA, Hirzel et al., 2002).”
Coping with human disturbance: spatial and temporal tactics of the brown bear (Ursus arctos) (2010, methodology): “Habitat selection within home ranges First, we explored habitat selection within the home ranges of female brown bears using K-select (Calenge et al. 2005).”
Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis (2008, background): “Computing habitat suitability maps allows the identification of suitable areas not yet, or not anymore colonized, and critical areas that need to be preserved, such as faunistic corridors (Gibson et al., 2004; Chefaoui et al., 2005).”