This generic is the base constructor for creating objects of class
horizontalPointCVIZ”. Please see the associated
horizontalPointCVIZ-methods method for more details.
Signature object of class
Signature object of class "
See associated method.
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
controlVariate constructor for control of subsampling
within the inclusion zone. In addition, different proxy functions can
have extra arguments associated with them beyond the three required
ones. Again, this is the place to pass any of these extra arguments to
the proxy functions. Please see
documentation on the built-in proxy functions, and note the different
arguments associated with each function.
A valid object of class “
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 CV subsampling
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
Jeffrey H. Gove
Gove, J. H. 2013. Monte Carlo sampling methods in sampSurf. Package vignette.
Gove, J. H. 2013. The “InclusionZone” Class. sampSurf Package vignette.
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# # restrict CV sampling between 10-20m height and use the # "wbProxy" function with solid type = 0.9*4 (close to true taper); # 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) cvhps.iz = horizontalPointCVIZ(st, ag, segBnds=c(10,20), proxy='wbProxy', solidTypeProxy=0.9, n.s=2) summary(cvhps.iz) plot(cvhps.iz)