enmScenarios | R Documentation |
A two-element list that describes 24 different ENMs used in simulations from Castilla et al. (2023).
data(enmScenarios)
two element list (data frame and 24 element list)
enms
is a data frame with the following columns:
numRefugia. The number of spatially separated refugia at the LGM
gcm. The Global Circulation Model used in the ENM
ext. The buffer around occurrence points used to define background regions (in km)
algo. The niche modeling algorithm used in the model
threshold. The threshold used to define refuge cells, cells with suitability above this value at the LGM are occupied at the start of a simulation
cbi. Continuous Boyce Index - a measure of model accuracy, ranges from -1 to 1, with values >0 being better than random
tss. True Skill Statistic - a measure of model accuracy, ranges from -1 to 1, with values >0 being better than random
se. Sensitivity - proportion of present sites correctly predicted when the threshold is applied
sp. Specificity - proportion of absent sites correctly predicted when the threshold is applied
auc. The area under the curve - a measure of model accuracy, ranges from 0 to 1, with values >0.5 being better than random
meanRefugeAbund. Average habitat suitability of cells classified as refugia (given the defined threshold)
rasterStackName. A text string name for the ENM, describes GCM, extent, and algorithm used. Refers to landscapes located in system.file(package="holoSimCell","extdata/landscapes")
refugeCellNum
is a list with 24 elements, 1 per ENM, with each element storing a vector of IDs for refuge cells. These ids correspond to the rasters named in 'rasterStackName' in the enms
object
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