SimulateKinhom

A point pattern (<code><a href="/link/ppp.object?package=dbmss&version=1.2.4" rd-options="" data-mini-rdoc="dbmss::ppp.object">ppp.object</a></code>), marks must be a dataframe with two columns:<code>PointType</code>: labels, as factors.<code>PointWeight</code>: weights.

ReferenceType

A string describing the null hypothesis to simulate. The null hypothesis, may be 
	"<em>RandomPosition</em>": points are drawn in an inhomogenous Poisson process (intensity is either <code>lambda</code> or estimated from <code>X</code>); 
	"<em>RandomLo</em>

SimulationType

An estimation of the point pattern density, obtained by the <code><a href="/link/density.ppp?package=dbmss&version=1.2.4" rd-options="" data-mini-rdoc="dbmss::density.ppp">density.ppp</a></code> function.

lambda

This function is used internally by <code><a href="/link/KinhomEnvelope?package=dbmss&version=1.2.4" rd-options="" data-mini-rdoc="dbmss::KinhomEnvelope">KinhomEnvelope</a></code> to fill the simulation matrix.

internal

This package allows simple computation of a full set of
        spatial statistic functions of distance, including classical
        ones (Ripley's K and others) and more recent onces used by
        spatial economists (Duranton and Overman's Kd, Marcon and
        Puech's M). It relies on spatstat for core calculation.

SimulateKinhom: Simulations of point patterns to obtain values of Kinhom under the null hypothesis

Description

Usage

Arguments

Value

See Also