## S3 method for class 'pp3':
envelope(Y, fun=K3est, nsim=99, nrank=1, \dots,
simulate=NULL, verbose=TRUE,
transform=NULL,global=FALSE,ginterval=NULL,
savefuns=FALSE, savepatterns=FALSE,
nsim2=nsim, VARIANCE=FALSE, nSD=2, Yname=NULL, maxnerr=nsim)
"pp3"
).nsim
simulated
values. A rank of 1 means that the minimum and maximum
simulated values will be used.fun
.simulate
is an expression in the R language, then this
expression will be evaluated nsim
times,
to obtain nsim
point patterns which areglobal=FALSE
) or simultaneous (global=TRUE
).global=TRUE
.global=TRUE
and the simulations are not based on CSR.TRUE
, critical envelopes will be calculated
as sample mean plus or minus nSD
times sample standard
deviation.VARIANCE=TRUE
.Y
when printing or plotting the results.fun
yields an error when applied to a simulated point
pattern (for example, because the pattern is empty and fun
requires at least one point), the pattern will be rejected
a"fv"
)
which can be plotted directly.
See envelope
for further details.envelope
command performs simulations and
computes envelopes of a summary statistic based on the simulations.
The result is an object that can be plotted to display the envelopes.
The envelopes can be used to assess the goodness-of-fit of
a point process model to point pattern data.
The envelope
function is generic, with methods for
the classes "ppp"
, "ppm"
and "kppm"
described in the help file for envelope
.
This function envelope.pp3
is the method for
three-dimensional point patterns (objects of class "pp3"
).
For the most basic use, if you have a 3D point pattern X
and
you want to test Complete Spatial Randomness (CSR), type
plot(envelope(X, K3est,nsim=39))
to see the three-dimensional
$K$ function for X
plotted together with the envelopes of
the three-dimensional $K$ function for 39 simulations of CSR.
To create simulation envelopes, the command envelope(Y, ...)
first generates nsim
random point patterns
in one of the following ways.
simulate=NULL
,
then we generatensim
simulations of
Complete Spatial Randomness (i.e.nsim
simulated point patterns
each being a realisation of the uniform Poisson point process)
with the same intensity as the patternY
.simulate
is supplied, then it determines how the
simulated point patterns are generated.
Seeenvelope
for details.fun
is applied to each of these simulated
patterns. Typically fun
is one of the functions
K3est
, G3est
, F3est
or pcf3est
.
It may also be a character string
containing the name of one of these functions.
For further information, see the documentation for
envelope
.pp3
,
rpoispp3
,
K3est
,
G3est
,
F3est
,
pcf3est
.X <- rpoispp3(20, box3())
plot(envelope(X, nsim=39))
<testonly>plot(envelope(X, nsim=4))</testonly>
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