SPDATA

This data set has Presence/Absence predictions for 13 species at 386 forested locations. It consists of species, observed presence-absence values, and the probability predictions of three different models.

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.

SPDATA function

A data frame with 386 observations for 13 species with the following 5 variables.<dl class="dl-horizontal">
 <dt><code>SPECIES</code></dt><dd>a character vector of species codes</dd>
 <dt><code>OBSERVED</code></dt><dd>a numeric vector of 0-1 values</dd>
 <dt><code>GAM</code></dt><dd>a numeric vector of predicted probabilities</dd>
 <dt><code>See5</code></dt><dd>a numeric vector of predicted probabilities</dd>
 <dt><code>SGB</code></dt><dd>a numeric vector of predicted probabilities</dd>
 </dl>

Format

Species Presence/Absence Data — SPDATA

A data frame with 386 observations for 13 species with the following 5 variables.<dl class='dl-horizontal'>
 <dt><code>SPECIES</code></dt><dd>a character vector of species codes</dd>
 <dt><code>OBSERVED</code></dt><dd>a numeric vector of 0-1 values</dd>
 <dt><code>GAM</code></dt><dd>a numeric vector of predicted probabilities</dd>
 <dt><code>See5</code></dt><dd>a numeric vector of predicted probabilities</dd>
 <dt><code>SGB</code></dt><dd>a numeric vector of predicted probabilities</dd>
 </dl>

SPDATA: Species Presence/Absence Data

Description

Usage

Arguments

Format

Examples