gdat

Mountain Goat Survey Data from Olympic National park collected in 2004

datasets

Uses logistic regression to model the probability of detection as a function of covariates.
This model is then used with observational survey data to estimate population size, while
accounting for uncertain detection.  See Steinhorst and Samuel (1989).

Carl Schwarz

SightabilityModel

Wildlife Sightability Modeling

Fieberg John

Schwarz Carl James

gdat function

A data frame with 113 observations on the following 9 variables.<dl>
 <dt>GroupSize</dt>
<dd>number of animals observed in each
 independently sighted group [cluster size]</dd>
 
 <dt>Terrain</dt>
<dd>measure
 of terrain obstruction</dd>
 <dt>pct.VegCover</dt>
<dd>measure of vegetative
 obstruction</dd>
 <dt>stratum</dt>
<dd>stratum identifier</dd> <dt>total</dt>
<dd>number of animals observed in each independently
 sighted group [same as GroupSize]</dd>
 
 <dt>subunit</dt>
<dd>a numeric vector, Plot ID</dd>
 </dl>

Format

Mountain Goat Survey Data from Olympic National park — gdat

A data frame with 113 observations on the following 9 variables.<dl>
 <dt>GroupSize</dt>
<dd>number of animals observed in each
 independently sighted group [cluster size]</dd>
 
 <dt>Terrain</dt>
<dd>measure
 of terrain obstruction</dd>
 <dt>pct.VegCover</dt>
<dd>measure of vegetative
 obstruction</dd>
 <dt>stratum</dt>
<dd>stratum identifier</dd>

 <dt>total</dt>
<dd>number of animals observed in each independently
 sighted group [same as GroupSize]</dd>
 
 <dt>subunit</dt>
<dd>a numeric vector, Plot ID</dd>
 

</dl>

gdat: Mountain Goat Survey Data from Olympic National park

Description

Arguments

Format

References

Examples