plot_MPP_fields: Plot the mark probability fields
In sppmix: Modeling Spatial Poisson and Related Point Processes

Description Usage Arguments Author(s) See Also Examples

The function displays the mark probability fields for each location of a marked point pattern. These fields are simply the probabilities of observing the corresponding mark value at that location.

For examples see

http://faculty.missouri.edu/~micheasa/sppmix/sppmix_all_examples.html#plot_MPP_fields

1 2	plot_MPP_fields(MPP, gammas, r, discrete_mark = TRUE, grayscale = FALSE, truncate = FALSE, open_new_window = FALSE, LL = 128)

`MPP`	A marked point pattern as an object of class `ppp`.
`gammas`	For discrete marks (`discrete_mark=TRUE`), this is a vector of length equal to the number of marks. These parameters should typically be non-negative and they represent weights affecting the probability fields of each mark. For values close to 0, we get higher probabilities of observing this mark. Large positive values lead to small probabilities of observing the corresponding mark.
`r`	Radius used to define the neighborhood system. Any two locations within this distance are considered neighbors.
`discrete_mark`	Logical flag indicating whether the mark is discrete or not. Default is TRUE. For continuous marks set this to FALSE.
`grayscale`	Logical to request plots in grayscale.
`truncate`	Logical variable indicating to discard points if they are not within the window of observation. Default is FALSE.
`open_new_window`	Logical requesting a new window for the plot(s).
`LL`	Length of the side of the square grid. The larger this value is, the better the picture resolution.

Sakis Micheas

rMIPPP_cond_loc

newMPP=rMIPPP_cond_loc(gammas=c(.1,.2,.5), r=.5)
plot(newMPP$surf,main="True IPPP intensity surface for the locations")
plot_MPP_fields(newMPP$genMPP,newMPP$gammas,newMPP$r)
plot_MPP_fields(newMPP$genMPP,newMPP$gammas,1)
plot_MPP_fields(newMPP$genMPP,newMPP$gammas,1.5)
plot_MPP_fields(newMPP$genMPP,newMPP$gammas,2)