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Table 4 Models with AICc < 10 (full table in Additional file 1: Table S2) fitted to the natural logarithm of location error (LElog) for GPS devices 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 ∆AICc ω
1 HDOP + satellites + canopy closure 0.381 6 1307.67 0 0.27
2 HDOP + satellites + SVF 0.36 6 1307.73 0.06 0.26
3 HDOP + satellites + canopy closure + SVF 0.396 7 1308.36 0.69 0.19
4 HDOP + satellites 0.286 5 1309.16 1.49 0.13
  1. Explanatory variables are the canopy closure due to vegetation, sky view factor due to topography (SVF), horizontal dilution of precision (HDOP), the number of satellites used to derive the fix, and a proprietary eRes metric. 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