Description Usage Arguments Details Value See Also Examples
This function calculates the maximum likelihood estimator of the abundance for the point-to-nearest-object method.
1 | point.est.no(samp)
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samp |
object of class 'sample.no´, generated by function
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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
An object of class 'point.est.no´ containing the following items:
Nhat |
MLE of group abundance |
int.est.no
,
generate.sample.no
to create sample objects,
summary.sample.no
,
plot.sample.no
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 |
# 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)
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