point.est.no: Point Estimation Of Population Size For Nearest-Object Method

In dill/wisp: Wildlife Simulation Package (wisp)

Description

This function calculates the maximum likelihood estimator of the abundance for the point-to-nearest-object method.

Usage

    point.est.no(samp)

Arguments

samp	object of class 'sample.no´, generated by function generate.sample.no

Details

The point estimator of N is the MLE given by Nhat = J * A / (pi * sum(xj^2)) where

J = Number of survey points
A = Total area of survey region
pi = 3.1415....
xj = The distances from survey point j to its nearest object

Value

An object of class 'point.est.no´ containing the following items:

Nhat	MLE of group abundance

See Also

int.est.no, generate.sample.no to create sample objects, summary.sample.no, plot.sample.no

Examples

     
     # generating all necessary objects
     myreg<-generate.region(x.length = 50, y.width = 80)
          
     mydens <- generate.density()
     mypoppars<-setpars.population(myreg, density.pop = mydens, 
                          number.groups = 100, size.method = "poisson", 
                          size.min = 1, size.max = 5, size.mean = 1,     
                          exposure.method = "beta", exposure.min = 2, 
                          exposure.max = 10, exposure.mean = 6,
                          exposure.shape = 0.1)
     mypop<-generate.population(mypoppars)
     mydes <- generate.design.no(myreg, n.points = 4)
     mysamp<-generate.sample.no(mypop, mydes, with.neighbours=T)
     
     # calling estimation function
     point.est.no(mysamp)
     

dill/wisp documentation built on May 15, 2019, 8:31 a.m.