plot.rd_mar | R Documentation |
Plot method for rd_pat object
## S3 method for class 'rd_mar' plot( x, what = "sf", n = NULL, probs = c(0.025, 0.975), comp_fast = 1000, ask = TRUE, verbose = TRUE, ... )
x |
rd_mar object with randomized patterns. |
what |
Character specifying to plot summary functions of point patterns
( |
n |
Integer with number or vector of ids of randomized pattern to plot. See Details section for more information. |
probs |
Vector with quantiles of randomized data used for envelope construction. |
comp_fast |
Integer with threshold at which summary functions are estimated in a computational fast way. |
ask |
Logical if the user is asked to press <RETURN> before second summary function
is plotted (only used if |
verbose |
Logical if progress report is printed. |
... |
Not used. |
The function plots the pair correlation function and the nearest neighbour function of
the observed pattern and the reconstructed patterns (as "simulation envelopes").
For large patterns comp_fast = TRUE
decreases the computational demand because no edge
correction is used and the pair correlation function is estimated based on Ripley's
K-function. For more information see estimate_pcf_fast
.
It is also possible to plot n randomized patterns and the observed pattern
using what = "pp"
. If n
is a single number, n
randomized
patterns will be sampled to plot. If n
is a vector, the corresponding patterns
will be plotted.
void
reconstruct_pattern
fit_point_process
## Not run: pattern_recon <- reconstruct_pattern(species_a, n_random = 1, max_runs = 1000, simplify = TRUE, return_input = FALSE) marks_sub <- spatstat.geom::subset.ppp(species_a, select = dbh) marks_recon <- reconstruct_pattern_marks(pattern_recon, marks_sub, n_random = 19, max_runs = 1000) plot(marks_recon) ## End(Not run)
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