MoosePopR_DomStrat: Classical and Domain Stratification using MoosePopR()

View source: R/MoosePopR_DomStrat.R

MoosePopR_DomStratR Documentation

Classical and Domain Stratification using MoosePopR()

Description

This function allows for classical or domain stratification when using MoosePopR(). Caution **SE are NOT adjusted for measurements on multiple domains on the same sampling unit. Bootstrapping may be required**. Consult the vignette for more details.

MoosePopR_DomStrat() assumes that sightability is 100%. Use the SightabilityPopR_DomStrat() function to adjust for sightability < 100%.

Usage

MoosePopR_DomStrat(
  stratum.data,
  selected.unit.data,
  waypoint.data,
  density = NULL,
  abundance = NULL,
  numerator = NULL,
  denominator = NULL,
  stratum.var = "Stratum",
  domain.var = "Domain",
  stratum.total.blocks.var = "Total.Blocks",
  stratum.total.area.var = "Total.Area",
  block.id.var = "Block.ID",
  block.area.var = "Block.Area",
  conf.level = 0.9,
  survey.lonely.psu = "fail"
)

Arguments

stratum.data

A data frame containing for each combination of stratum and domain, the stratum id (see stratum.var), the domain id (see domain.var), the total number of blocks in the stratum (see stratum.total.blocks.var) and the total area of the stratum (see stratum.total.area.var)

selected.unit.data

A data frame containing information on the selected survey units. Required variables are the stratum (see stratum.var), domain (see domain.var), block.id (see block.id.var), and the area of the block (see block.area.var).

waypoint.data

A data frame containing counts of moose in each group along with a variable identifying the stratum (see stratum.var), domain (see domain.var) and block (see block.id.var). Additional variables can be included such as covariates for the sightability function (not currently used in MoosePopR)

density, abundance, numerator, denominator

Right-handed formula identifying the variable(s) in the waypoint data frame for which the density, abundance, or ratio (numerator/denominator) are to be estimated.

stratum.var

Name of the variable in the data frames that identifies the classical stratum

domain.var

Name of the variable in the data frames that identifies the domain.

stratum.total.blocks.var

Name of the variable in the stratum.data data frame that contains the total number of blocks in the stratum.

stratum.total.area.var

Name of the variable in the stratum.data data.frame that contains the total stratum area.

block.id.var

Name of the variable in the data frames that identifies the block.id (the sampling unit)

block.area.var

Name of the variable in data frames that contains the area of the blocks (area of sampling unit)

conf.level

Confidence level used to create confidence intervals.

survey.lonely.psu

How to deal with lonely PSU within strata. See surveyoptions in the survey package.

Value

A data frame containing for each stratum and for all combinations of strata and domains (identified as stratum id .OVERALL), the density, or abundance or ratio estimate along with its estimated standard error and large-sample normal-based confidence interval.

Author(s)

Schwarz, C. J. cschwarz.stat.sfu.ca@gmail.com.

References

To Be Added.

Examples

 
##---- See the vignettes for examples on how to run this analysis.


SightabilityModel documentation built on June 1, 2022, 9:06 a.m.