Table 2. Results from 5-fold and pasture cross validation of wolf, elk and cattle resource selection functions (RSFs) during day and night in southwest Alberta, Canada.
Wolf | Elk | Cattle | |||||
Day | Night | Day | Night | Day | Night | ||
Spearman rs | |||||||
Group | Pasture | ||||||
1 | 1.000 | 1.000 | 1.000 | 1.000 | Bob Creek – Porcupine Hills | 0.726 | 0.808 |
2 | 0.988 | 0.976 | 1.000 | 1.000 | Porcupine Hills – Bob Creek | 0.618 | 0.599 |
3 | 0.964 | 0.988 | 1.000 | 1.000 | |||
4 | 0.952 | 0.988 | 1.000 | 1.000 | |||
5 | 0.994 | 0.951 | 1.000 | 1.000 | |||
Mean | 0.979 | 0.981 | 1.000 | 1.000 | 0.672 | 0.704 | |
R2 | |||||||
1 | 0.941 | 0.914 | 0.948 | 0.925 | Bob Creek – Porcupine Hills | 0.559 | 0.519 |
2 | 0.863 | 0.794 | 0.945 | 0.911 | Porcupine Hills – Bob Creek | 0.122 | 0.025 |
3 | 0.769 | 0.761 | 0.945 | 0.938 | |||
4 | 0.874 | 0.841 | 0.949 | 0.926 | |||
5 | 0.857 | 0.839 | 0.946 | 0.924 | |||
Mean | 0.839 | 0.884 | 0.943 | 0.920 | 0.340 | 0.272 |
Spearman correlations were calculated between RSF-habitat ranks and area-adjusted frequencies on a withheld sub-sample of data (20%) 5-times. We also calculated a linear regression between observed frequency and expected RSF scores and assessed the fit. We validated the cattle RSF using a 2-pasture cross validation, where separate cattle RSFs were produced for each pasture and a Spearman rank correlation and linear regression between the two models was calculated in each pasture.