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    Author(s): Elizabeth A. FreemanGretchen Moisen
    Date: 2008
    Source: Journal of Statistical Software. 23(11): 31 p.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (485 B)

    Description

    The PresenceAbsence package for R provides a set of functions useful when evaluating the results of presence-absence analysis, for example, models of species distribution or the analysis of diagnostic tests. The package provides a toolkit for selecting the optimal threshold for translating a probability surface into presence-absence maps specifically tailored to their intended use. The package includes functions for calculating threshold dependent measures such as confusion matrices, percent correctly classified (PCC), sensitivity, specificity, and Kappa, and produces plots of each measure as the threshold is varied. It also includes functions to plot the Receiver Operator Characteristic (ROC) curve and calculates the associated area under the curve (AUC), a threshold independent measure of model quality. Finally, the package computes optimal thresholds by multiple criteria, and plots these optimized thresholds on the graphs.

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    Citation

    Freeman, Elizabeth A.; Moisen, Gretchen. 2008. PresenceAbsence: An R package for presence absence analysis. Journal of Statistical Software. 23(11): 31 p.

    Keywords

    binary classification, ROC, AUC, sensitivity, specificity, threshold, species distribution models, diagnostic tests

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