lGCpp: Simulated spatio-temporal log Gaussian Cox point pattern data

In kernstadapt: Adaptive Kernel Estimators for Point Process Intensities on Linear Networks

Simulated spatio-temporal log Gaussian Cox point pattern data

Description

A simulated spatio-temporal log Gaussian Cox point pattern with a underlying non-separable Geneiting covariance.

Usage

data("lGCpp")

Format

An object of class "ppp" Entries include

x	Cartesian x-coordinates
y	Cartesian y-coordinates
marks	A vector of values indicating the times
window	Cartesian coordinates of the unit square

See ppp.object for details of the format.

References

Gabriel E, Rowlingson B, Diggle PJ (2013). stpp: An R Package for Plotting, Simulating and Analyzing Spatio-Temporal Point Patterns. Journal of Statistical Software, (53)(2)(2), 1–29.

González J.A. and Moraga P. (2018) An adaptive kernel estimator for the intensity function of spatio-temporal point processes. <arXiv:2208.12026>

Examples

data(lGCpp)
head(lGCpp)
plot(lGCpp, bg = rainbow(250), pch = 21, cex = 1)

kernstadapt documentation built on Sept. 30, 2024, 9:44 a.m.