ecospat.ESM.threshold {ecospat} | R Documentation |
This function evaluates the full model which is used for projections and provides thresholds to produce binary maps.
ecospat.ESM.threshold( ESM.EnsembleModeling.output,
PEplot = FALSE)
ESM.EnsembleModeling.output |
a list object returned by |
PEplot |
logical. Should the predicted to expected ratio along the suitability class from the boyce index be plotted. Default FALSE (see |
This function provides evaluation scores of the full model (no split sampling) and thresholds which can be used to convert suitability maps into binary maps. Various thresholds are provided: TSS (where sensitivity and specificity are maximised), MPA 1.0 (where all presences are prdicted positive), MPA 0.95 (where 95% of all presences are predicted positive), MPA 0.90 (where 90% of all presences are predicted positive), Boyce.th.min (the lowest suitability value where the predicted/expected ratio is >1) and Boyce.th.max (the highest suitability value where the predicted/expected ratio is =1).
A data.frame with evluation scores and thresholds.
Frank Breiner frank.breiner@unil.ch
Hirzel, Alexandre H., et al. Evaluating the ability of habitat suitability models to predict species presences. Ecological modelling, 199.2 (2006): 142-152.
Engler, Robin, Antoine Guisan, and Luca Rechsteiner. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of applied ecology, 41.2 (2004): 263-274.
Fielding, Alan H., and John F. Bell. A review of methods for the assessment of prediction errors in conservation presence/absence models." Environmental conservation, 24.1 (1997): 38-49.