SimulateKd

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

NeighborType

Logical; if <code>TRUE</code>, estimates the Kemp function.

Weighted

A string describing the null hypothesis to simulate. The null hypothesis may be "RandomLocation": points are redistributed on the actual locations; "RandomLabeling": randomizes point types, keeping locations and weights unchanged; "P

SimulationType

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

SimulateKd: Simulations of point patterns to obtain values of Kd under the null hypothesis

Description

Usage

Arguments

Value

See Also