Methods for Intensity Functions of Spatial Covariate
These are methods for the class "rhohat".
## S3 method for class 'rhohat'
print(x, ...)
## S3 method for class 'rhohat'
plot(x, ..., do.rug=TRUE)
## S3 method for class 'rhohat'
predict(object, ..., relative=FALSE,
what=c("rho", "lo", "hi", "se"))
## S3 method for class 'rhohat'
simulate(object, nsim=1, ..., drop=TRUE)x,object |
An object of class |
... |
Arguments passed to other methods. |
do.rug |
Logical value indicating whether to plot the observed values of the covariate as a rug plot along the horizontal axis. |
relative |
Logical value indicating whether to compute the
estimated point process intensity ( |
nsim |
Number of simulations to be generated. |
drop |
Logical value indicating what to do when |
what |
Optional character string (partially matched) specifying which
value should be calculated: either the function estimate ( |
An object of class "rhohat" is an estimate
of the intensity of a point process, as a function of a
given spatial covariate. See rhohat.
The method predict.rhohat computes a pixel image of the
intensity rho(Z(u)) at each spatial location
u, where Z is the spatial covariate.
The method simulate.rhohat invokes predict.rhohat
to determine the predicted intensity, and then simulates a
Poisson point process with this intensity.
For predict.rhohat the value is a pixel image
(object of class "im" or "linim").
For simulate.rhohat the value is a point pattern
(object of class "ppp" or "lpp").
For other functions, the value is NULL.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
X <- rpoispp(function(x,y){exp(3+3*x)})
rho <- rhohat(X, function(x,y){x})
rho
plot(rho)
Y <- predict(rho)
plot(Y)
plot(simulate(rho), add=TRUE)
#
fit <- ppm(X, ~x)
rho <- rhohat(fit, "y")
opa <- par(mfrow=c(1,2))
plot(predict(rho))
plot(predict(rho, relative=TRUE))
par(opa)
plot(predict(rho, what="se"))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.