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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
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>) split(<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