plot.localdiag {stopp} | R Documentation |
Plot of the local diagnostics' result on a spatio-temporal point process model
Description
This function plots the result of the local diagnostics performed with
localdiag on either a stp
or stlp
object.
It highlights the points of the analysed spatio-temporal point pattern X
which are identified as outlying by the
previously performed local diagnostics; the remaining points of X
are also represented.
It also shows the underlying linear network, if the local diagnostics has been applied
to point patterns occurring on the same linear network, that is, if localdiag
has been applied to a stlp
object.
Usage
## S3 method for class 'localdiag'
plot(x, marg = TRUE, col = "grey", col2 = "red", cols = "lightgrey", ...)
Arguments
x |
A |
marg |
Default to |
col |
Color of the outlying points |
col2 |
Color of the network (if applicable) |
cols |
Color of the non-outlying points |
... |
additional unused argument |
Author(s)
Nicoletta D'Angelo and Giada Adelfio
References
Adelfio, G., Siino, M., Mateu, J., and Rodríguez-Cortés, F. J. (2020). Some properties of local weighted second-order statistics for spatio-temporal point processes. Stochastic Environmental Research and Risk Assessment, 34(1), 149-168.
D’Angelo, N., Adelfio, G. and Mateu, J. (2022) Local inhomogeneous second-order characteristics for spatio-temporal point processes on linear networks. Stat Papers. https://doi.org/10.1007/s00362-022-01338-4
See Also
infl, print.localdiag, summary.localdiag
Examples
set.seed(2)
inh <- rstpp(lambda = function(x, y, t, a) {exp(a[1] + a[2]*x)},
par = c(.3, 6))
mod1 <- stppm(inh, formula = ~ 1)
resmod1 <- localdiag(inh, mod1$l, p = .9)
plot(resmod1)
plot(resmod1, marg = FALSE)