Statistical output from bioclimatic models.
Statistical output from bioclimatic models: classification errors from the confusion matrix, and the important predictors according to mean decrease in accuracy. Variable acronyms are keyed to the previous table: Climate Variables.
Species | Classification errors (%) |
Important variables | ||
Omissiona | Commissionb | Over all c | ||
Subalpine Larch (Larix lyallii) | 0
| 3.94 | 2.2 | GSP x TD, MAP x MTCM, MMIN |
Smooth Arizona Cypress (Cupressus arizonica ssp. glabra) | 0 | 6.37 | 3.55 | PRATIO, GSPTD, TDIFF |
Piute Cypress (Cupressus arizonica ssp. Navadensis) | 0
| 3.09 | 1.73 | MMIN, MAPDD5, MTCMGSP, PRATIO |
Macfarlane’s Four-o’clock (Mirabilis macfarlanei) | 0
| 2.55 | 1.39 | MINDD0, MAPTD, TDIFF |
a errors of omission (species presence = yes but model prediction presence = no)
b error of commission (species presence = no but model prediction = yes)
c combined overall error from omission and commission statistics.
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