SIM3DATA

This data set was generated using the <code>presence.absence.simulation()</code> function. It consists of plotID, observed presence-absence values, and the simulated probability predictions of three different models, for 1000 plots.

datasets

This package 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.

SIM3DATA function

A data frame with 1000 observations on the following 5 variables.<dl class="dl-horizontal">
 <dt><code>plotID</code></dt><dd>a numeric vector</dd>
 <dt><code>Observed</code></dt><dd>a numeric vector of 0-1 values</dd>
 <dt><code>Predicted1</code></dt><dd>a numeric vector of predicted probabilities</dd>
 <dt><code>Predicted2</code></dt><dd>a numeric vector of predicted probabilities</dd>
 <dt><code>Predicted3</code></dt><dd>a numeric vector of predicted probabilities</dd>
 </dl>

Format

Simulated Presence-Absence Data — SIM3DATA

A data frame with 1000 observations on the following 5 variables.<dl class='dl-horizontal'>
 <dt><code>plotID</code></dt><dd>a numeric vector</dd>
 <dt><code>Observed</code></dt><dd>a numeric vector of 0-1 values</dd>
 <dt><code>Predicted1</code></dt><dd>a numeric vector of predicted probabilities</dd>
 <dt><code>Predicted2</code></dt><dd>a numeric vector of predicted probabilities</dd>
 <dt><code>Predicted3</code></dt><dd>a numeric vector of predicted probabilities</dd>
 </dl>

SIM3DATA: Simulated Presence-Absence Data

Description

Usage

Arguments

Format

Examples