stlnpp (version 0.3.6)

densityVoronoi.tpp: Intensity estimate of temporal point patterns using Voronoi-Dirichlet tessellation

Description

adaptive intensity estimation for temporal point patterns using Voronoi-Dirichlet tessellation.

Usage

# S3 method for tpp
densityVoronoi(X, f = 1, nrep = 1,at=c("points","pixels"),
                               dimt=128,...)

Arguments

X

an object of class tpp

f

fraction (between 0 and 1 inclusive) of the data points that will be used to build a tessellation for the intensity estimate

nrep

number of independent repetitions of the randomised procedure

at

string specifying whether to return the intensity values at a grid of pixel locations and time (at="pixels") or only at the points of X (at="points"). default is to estimate the intensity at pixels

dimt

the number of equally spaced points at which the temporal density is to be estimated. see density

...

arguments passed to densityVoronoi.lpp

Value

If at="points": a vector of intensity values at the data points of X.

If at="pixels": a vector of intensity values over a grid.

Details

This function computes intensity estimates for temporal point patterns using Voronoi-Dirichlet tessellation.

References

Mateu, J., Moradi, M., & Cronie, O. (2019). Spatio-temporal point patterns on linear networks: Pseudo-separable intensity estimation. Spatial Statistics, 100400.

See Also

densityVoronoi.lpp, densityVoronoi.stlpp

Examples

# NOT RUN {
X <- rpoistlpp(0.2,a=0,b=5,L=easynet)
Y <- as.tpp.stlpp(X)
densityVoronoi(Y)
# }