Generate Objects of Class "horizontalPointCMCIZ"

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Description

This generic is the base constructor for creating objects of class “horizontalPointCMCIZ”. Please see the associated horizontalPointCMCIZ-methods method for more details.

Usage

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Arguments

standingTree

Signature object of class "standingTree".

angleGauge

Signature object of class "angleGauge".

...

See associated method.

Details

It is very important to note both here and in the method documentation that the call to this constructor is the appropriate place to include any extra arguments that should be passed on to the crudeMonteCarlo constructor for control of subsampling within the inclusion zone.

Value

A valid object of class “horizontalPointCMCIZ”.

Note

Please see the two vignettes cited above for more details on this and related classes.

In the following run, it is possible to look at the contents of the mcsObj slot for the object. Please note that any slot within this object other than those used to control the CMC subsampling (e.g., segBnds) will not be used to estimate volume for the tree. This object will be used to control subsampling at each grid cell location within the inclusion zone when applied to the izGrid constructor. Therefore, while the volume and variance in this slot's object are applicable to the tree, they are not related to the final estimate that will be derived within sampSurf.

Author(s)

Jeffrey H. Gove

References

Gove, J. H. 2013. Monte Carlo sampling methods in sampSurf. Package vignette.

Gove, J. H. 2013. The “InclusionZone” Class. sampSurf Package vignette.

See Also

Other Monte Carlo methods that work with horizontal point sampling include: horizontalPointISIZ, horizontalPointCVIZ, criticalHeightIZ, importanceCHSIZ, antitheticICHSIZ, pairedAICHSIZ.

Examples

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#
# restrict CMC sampling between 10-20m height, with 2
# subsamples to be taken on the tree at each grid cell...
#
st = standingTree(dbh=50, solidType=4, height=25)
ag = angleGauge(baf=4)
cmchps.iz = horizontalPointCMCIZ(st, ag, segBnds=c(10,20),
            n.s=2)
summary(cmchps.iz)
plot(cmchps.iz)

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