exp.m

Experimental (test trials) data set used to estimate detection probabilities
for moose in MN

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

exp.m function

A data frame with 124 observations on the following 4 variables.<dl>
 <dt>year</dt>
<dd>year of the experimental survey (test trial)</dd> <dt>observed</dt>
<dd>Boolean variable (=1 if moose was observed and 0 otherwise)</dd>
 
 <dt>voc</dt>
<dd>measurement of visual obstruction</dd> <dt>grpsize</dt>
<dd>group size (number of observed moose in each independently sighted group)</dd> 
</dl>

Format

Experimental (test trials) data set used to estimate detection probabilities
for moose in MN — exp.m

A data frame with 124 observations on the following 4 variables.<dl>
 <dt>year</dt>
<dd>year of the experimental survey (test trial)</dd>

 <dt>observed</dt>
<dd>Boolean variable (=1 if moose was observed and 0 otherwise)</dd>
 
 <dt>voc</dt>
<dd>measurement of visual obstruction</dd>

 <dt>grpsize</dt>
<dd>group size (number of observed moose in each independently sighted group)</dd>

 
</dl>

exp.m: Experimental (test trials) data set used to estimate detection probabilities for moose in MN

Description

Arguments

Format

References

Examples