Package index • dbmss

Package summary

dbmss-package dbmss: Distance Based Measures of Spatial Structures

Datasets

Example datasets.

paracou16: Paracou field station plot 16, partial map

Prepare data

Data conversion and random generation.

as.Dtable(): Converts data to class Dtable

as.wmppp(): Converts data to class wmppp

wmppp(): Create a Weighted, Marked, Planar Point Pattern

wmppp.object: Class of Weighted, Marked, Planar Point Patterns

Dtable(): Create a Distance table object.

rPopulationIndependenceK(): Simulations of a point pattern according to the null hypothesis of population independence defined for K

rPopulationIndependenceM(): Simulations of a point pattern according to the null hypothesis of population independence defined for M

rRandomLabeling(): Simulations of a point pattern according to the null hypothesis of random labeling

rRandomLabelingM(): Simulations of a point pattern according to the null hypothesis of random labelling defined for M

rRandomLocation(): Simulations of a point pattern according to the null hypothesis of random location

rRandomPositionK(): Simulations of a point pattern according to the null hypothesis of random position defined for K

Distance-based functions

Non-parametric summary statistics of point patterns.

Dhat(): Estimation of the D function

Kdhat(): Estimation of the Kd function

Khat(): Estimation of the K function

Kinhomhat(): Estimation of the inhomogenous K function

Kmmhat(): Estimation of the Kmm function

Lhat(): Estimation of the L function

Lmmhat(): Estimation of the Lmm function

Mhat(): Estimation of the M function

ghat(): Estimation of the g function

mhat(): Estimation of the m function

Confidence envelopes

Confidence envelopes for the non-parametric summary statistics of point patterns.

DEnvelope(): Estimation of the confidence envelope of the D function under its null hypothesis

KEnvelope(): Estimation of the confidence envelope of the K function under its null hypothesis

KdEnvelope(): Estimation of the confidence envelope of the Kd function under its null hypothesis

KinhomEnvelope(): Estimation of the confidence envelope of the Kinhom function under its null hypothesis

KmmEnvelope(): Estimation of the confidence envelope of the Lmm function under its null hypothesis

LEnvelope(): Estimation of the confidence envelope of the L function under its null hypothesis

LmmEnvelope(): Estimation of the confidence envelope of the Lmm function under its null hypothesis

MEnvelope(): Estimation of the confidence envelope of the M function under its null hypothesis

gEnvelope(): Estimation of the confidence envelope of the g function under its null hypothesis

mEnvelope(): Estimation of the confidence envelope of the m function under its null hypothesis

print(<dbmssEnvelope>): Print a confidence envelope

summary(<dbmssEnvelope>): Summary of a confidence envelope

Tests

Statistical tests.

GoFtest(): Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis

Ktest(): Test of a point pattern against Complete Spatial Randomness

Utilities

dbmssEnvelope.object: Class of envelope of function values (fv)

autoplot(<envelope>) autoplot(<fv>) autoplot(<wmppp>): ggplot methods to plot dbmss objects

envelope(<Dtable>): Computes simulation envelopes of a summary function.

Smooth(<wmppp>): Spatial smoothing of individual dbmss's

as.wmppp(): Converts data to class wmppp

sharpen(<wmppp>) superimpose(<wmppp>) unique(<wmppp>) `[`(<wmppp>): Methods for weighted, marked planar point patterns (of class wmppp) from spatstat

is.wmppp(): Test whether an object is a weighted, marked, planar point pattern

marks(<Dtable>) `marks<-`(<Dtable>) `marks<-`(<wmppp>): marks method for Dtable and wmppp objects