kstest2d: Nonparametric Goodness-of-fit test for two-dimesional point...
In wangyuchen/sppmix: 2D Normal Mixture Models for Spatial Point Process

Description Usage Arguments Value References Examples

This function performs a two-dimensional Kolmogorov-Smirnov goodness-of-fit test of two point patterns.

1	kstest2d(x1, x2)

x1, x2

Objects of class ppp.

A list with class "htest" containing the following components:

`statistic`	Value of the KS statistic
`p.value`	The p-value of the test
`alternative`	A character string describing the alternative hypothesis

J. A. Peacock, "Two-dimensional goodness-of-fit testing in astronomy", Monthly Notices Royal Astronomy Society 202 (1983)615-627.

Adapted from Matlab code by Dylan Muir.

# genrating two point patterns
mix1 <- rnormmix(3, sig0 = .01, df = 5, xlim = c(0, 5), ylim = c(0, 5))
mix2 <- rnormmix(8, sig0 = .01, df = 10, xlim = c(0, 5), ylim = c(0, 5))
pp1 <- rsppmix(mix1, lambda = 20, win = square(5))
pp2 <- rsppmix(mix2, lambda = 20, win = square(5))

# Test for goodness of fit
kstest2d(pp1, pp2)