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Table 1 Models fitted to fix success rate (FSR) of GPS units tested in stationary sites (n = 11) under varying habitat and topographic conditions

From: Moving wildlife tracking forward under forested conditions with the SWIFT GPS algorithm

Rank Model parameters R2m k AICc ΔAICc ω
1 Canopy closure 0.424 3 359.62 0 0.66
2 Canopy closure + sky view factor 0.407 4 360.97 1.36 0.34
3 Null 0.000 2 378.25 18.6 0.00
4 Sky view factor 0.024 3 379.01 19.4 0.00
  1. R2m is the theoretical marginal pseudo-R2, k is the number of parameters, AICc is the corrected Akaike Information Criterion, ΔAICc is the difference in corrected Akaike Information Criterion between the top model and the ith model, and ω is the Akaike weight