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

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>
 <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>
 <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>

State of Data and AI Literacy Report 2025

SPDATA: Species Presence/Absence Data

Description

Usage

Arguments

Format

Examples