plot.locmincon: Plot a Locally Fitted Cluster or Cox Point Process Model

In baddstats/spatstat.local: Extension to 'spatstat' for Local Composite Likelihood

Plot a Locally Fitted Cluster or Cox Point Process Model

Description

Plot an object of class "locmincon" representing a locally-fitted cluster or Cox point process model.

Usage

## S3 method for class 'locmincon'
plot(x, ...,
               how = c("exact", "smoothed"),
               which = NULL, sigma = NULL, do.points = TRUE)

Arguments

x	The model to be plotted. A locally-fitted cluster or Cox point process model (object of class "locmincon" or "loccit").
...	Arguments passed to plot.ppp or plot.im to control the plot.
how	Character string determining whether to display the fitted parameter values at the data points (how="exact") or the smoothed fitted parameters as pixel images (how="smoothed").
which	Optional. Which component(s) of the vector-valued quantity to display. An index or index vector. Default is to plot all components.
sigma	Numeric. Smoothing bandwidth to be used if how="smoothed".
do.points	Logical. Whether to display the original point data as well.

Details

This is a method for the generic command plot for the class "locmincon".

The argument which, if present, specifies which fitted parameters are displayed. It may be any kind of index for a numeric vector.

The quantities are computed at irregularly-placed points. If how="exact" the exact computed values will be displayed as circles centred at the locations where they were computed. If how="smoothed" these values will be kernel-smoothed using Smooth.ppp and displayed as a pixel image.

Value

NULL.

Author(s)

\adrian

.

References

\localpaper \baddrubaturnbook

See Also

locmincon, methods.locmincon, plot, plot.default

Examples

   X <- redwood[owin(c(0,1), c(-1,-1/2))]
   fitm <- locmincon(X, ~1, "Thomas", sigma=0.07)
   plot(fitm, how="smoothed")  
   plot(fitm, how="exact")  

baddstats/spatstat.local documentation built on Feb. 23, 2023, 8:32 a.m.