SPPREV

This data set is summary prevalence for Presence/Absence data for 13 species from 1930 forested locations. <code>SPPREV</code> is the prevalence data from the full dataset (training and test data). Note that <code>SPDATA</code> is the model predictions from the test data subset (20 percent of total plots) of this original dataset, and therefore the species in <code>SPDATA</code> have slightly different prevalence than the overall prevalence given in <code>SPPREV</code>.

datasets

Provides a set of functions useful when evaluating the results of presence-absence models. Package includes functions for calculating threshold dependent measures such as confusion matrices, pcc, sensitivity, specificity, and Kappa, and produces plots of each measure as the threshold is varied. It will calculate optimal threshold choice according to a choice of optimization criteria. It also includes functions to plot the threshold independent ROC curves along with the associated AUC (area under the curve).

Elizabeth Freeman

PresenceAbsence

Presence-Absence Model Evaluation

SPPREV function

A data frame with data for 13 species. Dataframe consists of species names, number of plots where the species was present, and the overall prevalence for each species:<dl>
 <dt><code>SPECIES</code></dt>
<dd>a character vector of species codes</dd> <dt><code>NUMPLOTS</code></dt>
<dd>a numeric vector of plot counts</dd> <dt><code>PREV</code></dt>
<dd>a numeric vector of prevalence</dd> 
</dl>

Format

Overall Preavalences for Species Presence/Absence Data — SPPREV

A data frame with data for 13 species. Dataframe consists of species names, number of plots where the species was present, and the overall prevalence for each species:<dl>
 <dt><code>SPECIES</code></dt>
<dd>a character vector of species codes</dd>

 <dt><code>NUMPLOTS</code></dt>
<dd>a numeric vector of plot counts</dd>

 <dt><code>PREV</code></dt>
<dd>a numeric vector of prevalence</dd>

 
</dl>

SPPREV: Overall Preavalences for Species Presence/Absence Data

Description

Usage

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Format

Examples