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
Distancebased functions
Nonparametric 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

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

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