spatSim: Computes spatial dissimilarity of two point processes.

In Biolinv: Modelling and Forecasting Biological Invasions

Description

This function uses Ripley's K-function (see Details) to compute spatial dissimilarity of two point processes.

Usage

spatSim(MOD0, MOD2, WINDOW, R)

Arguments

MOD0	data frame containing 'y' and 'x' coordinates (projected coordinate system) to compare with MOD2.
MOD2	data frame containing 'y' and 'x' coordinates (projected coordinate system) to compare with MOD0.
WINDOW	window of observation of the point patterns (MOD0 and MOD2)(see ?spatstat.geom::owin).Must be an object of class 'owin'.
R	numeric vector of searc distances for the K-function.

Value

squared sum of distances between K-functions. This is a measure of spatial dissimilarity.

Author(s)

Luca Butikofer

Examples

ran<- data.frame('y'=sample(1000),'x'=sample(1000))
nor<- data.frame('y'=rnorm(1000,sd=150,mean=500),'x'=rnorm(1000,sd=150,mean=500))
window<-  spatstat.geom::owin(xrange=c(0,1000),yrange=c(0,1000))
spatSim(ran, nor, WINDOW= window, R=0:200)

Biolinv documentation built on March 30, 2021, 5:13 p.m.