stopp (version 0.2.3)

rstpp: Simulate homogeneous and inhomogeneous spatio-temporal Poisson point patterns

Description

This function creates a stp object, simulating a spatio-temporal point pattern following either an homogeneous or inhomogeneous intensity

Usage

rstpp(
  lambda = 500,
  nsim = 1,
  verbose = FALSE,
  par = NULL,
  minX = 0,
  maxX = 1,
  minY = 0,
  maxY = 1,
  minT = 0,
  maxT = 1
)

Value

A stp object

Arguments

lambda

Expected number of points to simulate

nsim

Number of patterns to simulate. Default to 1.

verbose

Default to FALSE

par

Parameters of the reference intensity

minX

Minimum of x coordinate range

maxX

Maximum of x coordinate range

minY

Minimum of y coordinate range

maxY

Maximum of y coordinate range

minT

Minimum of t coordinate range

maxT

Maximum of t coordinate range

Author

Nicoletta D'Angelo

See Also

stppm

Examples

# homogeneous Poisson processes
set.seed(2)
h1 <- rstpp(lambda = 500)

set.seed(2)
h2 <- rstpp(lambda = 500, minX = 0,
             maxX = 2, minY = 3, maxY = 5, minT = 1, maxT = 9)

set.seed(2)
h3 <- rstpp(lambda = 900, nsim = 3, verbose = TRUE)

# inhomogeneous Poisson process
set.seed(2)
inh <- rstpp(lambda = function(x, y, t, a) {exp(a[1] + a[2]*x)}, par = c(2, 6))