Core Functionality of the 'spatstat' Family

Documentation for package ‘spatstat.core’ version 2.4-4

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A B C D E F G H I J K L M N O P Q R S T U V W Z misc

The spatstat.core Package

-- A --

adaptive.density	Adaptive Estimate of Intensity of Point Pattern
addvar	Added Variable Plot for Point Process Model
AIC.dppm	Log Likelihood and AIC for Fitted Determinantal Point Process Model
AIC.kppm	Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
AIC.mppm	Log Likelihood and AIC for Multiple Point Process Model
AIC.ppm	Log Likelihood and AIC for Point Process Model
allstats	Calculate four standard summary functions of a point pattern.
alltypes	Calculate Summary Statistic for All Types in a Multitype Point Pattern
anova.mppm	ANOVA for Fitted Point Process Models for Replicated Patterns
anova.ppm	ANOVA for Fitted Point Process Models
anova.slrm	Analysis of Deviance for Spatial Logistic Regression Models
apply.ssf	Evaluate Expression in a Spatially Sampled Function
AreaInter	The Area Interaction Point Process Model
as.data.frame.envelope	Coerce Envelope to Data Frame
as.function.fv	Convert Function Value Table to Function
as.function.leverage.ppm	Convert Leverage Object to Function of Coordinates
as.function.rhohat	Convert Function Table to Function
as.function.ssf	Methods for Spatially Sampled Functions
as.fv	Convert Data To Class fv
as.fv.bw.optim	Convert Data To Class fv
as.fv.data.frame	Convert Data To Class fv
as.fv.dppm	Convert Data To Class fv
as.fv.fasp	Convert Data To Class fv
as.fv.fv	Convert Data To Class fv
as.fv.kppm	Convert Data To Class fv
as.fv.matrix	Convert Data To Class fv
as.fv.minconfit	Convert Data To Class fv
as.im.leverage.ppm	Methods for Leverage Objects
as.im.scan.test	Plot Result of Scan Test
as.im.ssf	Methods for Spatially Sampled Functions
as.interact	Extract Interaction Structure
as.interact.fii	Extract Interaction Structure
as.interact.interact	Extract Interaction Structure
as.interact.ppm	Extract Interaction Structure
as.interact.zgibbsmodel	Methods for Gibbs Models
as.isf.zgibbsmodel	Methods for Gibbs Models
as.layered.msr	Convert Measure To Layered Object
as.owin.dppm	Convert Data To Class owin
as.owin.influence.ppm	Methods for Influence Objects
as.owin.kppm	Convert Data To Class owin
as.owin.leverage.ppm	Methods for Leverage Objects
as.owin.msr	Convert Data To Class owin
as.owin.ppm	Convert Data To Class owin
as.owin.quadrattest	Convert Data To Class owin
as.owin.slrm	Convert Data To Class owin
as.ppm	Extract Fitted Point Process Model
as.ppm.dppm	Extract Fitted Point Process Model
as.ppm.kppm	Extract Fitted Point Process Model
as.ppm.ppm	Extract Fitted Point Process Model
as.ppm.profilepl	Extract Fitted Point Process Model
as.ppp.influence.ppm	Methods for Influence Objects
as.ppp.ssf	Methods for Spatially Sampled Functions
auc	Area Under ROC Curve
auc.kppm	Area Under ROC Curve
auc.ppm	Area Under ROC Curve
auc.ppp	Area Under ROC Curve
auc.slrm	Area Under ROC Curve

-- B --

BadGey	Hybrid Geyer Point Process Model
bc	Bias Correction for Fitted Model
bc.ppm	Bias Correction for Fitted Model
berman.test	Berman's Tests for Point Process Model
berman.test.ppm	Berman's Tests for Point Process Model
berman.test.ppp	Berman's Tests for Point Process Model
bind.fv	Combine Function Value Tables
bits.envelope	Global Envelopes for Balanced Independent Two-Stage Test
bits.test	Balanced Independent Two-Stage Monte Carlo Test
blur	Apply Gaussian Blur to a Pixel Image
bw.abram	Abramson's Adaptive Bandwidths
bw.CvL	Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density
bw.CvLHeat	Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule
bw.diggle	Cross Validated Bandwidth Selection for Kernel Density
bw.frac	Bandwidth Selection Based on Window Geometry
bw.pcf	Cross Validated Bandwidth Selection for Pair Correlation Function
bw.ppl	Likelihood Cross Validation Bandwidth Selection for Kernel Density
bw.pplHeat	Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation
bw.relrisk	Cross Validated Bandwidth Selection for Relative Risk Estimation
bw.scott	Scott's Rule for Bandwidth Selection for Kernel Density
bw.scott.iso	Scott's Rule for Bandwidth Selection for Kernel Density
bw.smoothppp	Cross Validated Bandwidth Selection for Spatial Smoothing
bw.stoyan	Stoyan's Rule of Thumb for Bandwidth Selection

-- C --

cauchy.estK	Fit the Neyman-Scott cluster process with Cauchy kernel
cauchy.estpcf	Fit the Neyman-Scott cluster process with Cauchy kernel
cbind.fv	Combine Function Value Tables
CDF	Cumulative Distribution Function From Kernel Density Estimate
CDF.density	Cumulative Distribution Function From Kernel Density Estimate
cdf.test	Spatial Distribution Test for Point Pattern or Point Process Model
cdf.test.mppm	Spatial Distribution Test for Multiple Point Process Model
cdf.test.ppm	Spatial Distribution Test for Point Pattern or Point Process Model
cdf.test.ppp	Spatial Distribution Test for Point Pattern or Point Process Model
cdf.test.slrm	Spatial Distribution Test for Point Pattern or Point Process Model
circdensity	Density Estimation for Circular Data
clarkevans	Clark and Evans Aggregation Index
clarkevans.test	Clark and Evans Test
closepaircounts	Count Close Pairs of Points
clusterfield.kppm	Field of clusters
clusterfit	Fit Cluster or Cox Point Process Model via Minimum Contrast
clusterkernel.kppm	Extract Cluster Offspring Kernel
clusterradius.kppm	Compute or Extract Effective Range of Cluster Kernel
clusterradius.zclustermodel	Methods for Cluster Models
clusterset	Allard-Fraley Estimator of Cluster Feature
coef.dppm	Methods for Determinantal Point Process Models
coef.fii	Methods for Fitted Interactions
coef.kppm	Methods for Cluster Point Process Models
coef.mppm	Coefficients of Point Process Model Fitted to Multiple Point Patterns
coef.ppm	Coefficients of Fitted Point Process Model
coef.slrm	Coefficients of Fitted Spatial Logistic Regression Model
coef.summary.fii	Methods for Fitted Interactions
coef<-.fii	Methods for Fitted Interactions
collapse.anylist	Collapse Several Function Tables into One
collapse.fv	Collapse Several Function Tables into One
compareFit	Residual Diagnostics for Multiple Fitted Models
compatible.fasp	Test Whether Function Arrays Are Compatible
compatible.fv	Test Whether Function Objects Are Compatible
compileK	Generic Calculation of K Function and Pair Correlation Function
compilepcf	Generic Calculation of K Function and Pair Correlation Function
Concom	The Connected Component Process Model
contour.leverage.ppm	Plot Leverage Function
contour.objsurf	Methods for Objective Function Surfaces
contour.ssf	Plot a Spatially Sampled Function
cor.im	Covariance and Correlation between Images
cov.im	Covariance and Correlation between Images
crosspaircounts	Count Close Pairs of Points

-- D --

data.ppm	Extract Original Data from a Fitted Point Process Model
dclf.progress	Progress Plot of Test of Spatial Pattern
dclf.sigtrace	Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test
dclf.test	Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
density.ppp	Kernel Smoothed Intensity of Point Pattern
density.ppplist	Kernel Smoothed Intensity of Split Point Pattern
density.psp	Kernel Smoothing of Line Segment Pattern
density.splitppp	Kernel Smoothed Intensity of Split Point Pattern
densityAdaptiveKernel	Adaptive Kernel Estimate of Intensity of Point Pattern
densityAdaptiveKernel.ppp	Adaptive Kernel Estimate of Intensity of Point Pattern
densityfun	Kernel Estimate of Intensity as a Spatial Function
densityfun.ppp	Kernel Estimate of Intensity as a Spatial Function
densityHeat	Diffusion Estimate of Point Pattern Intensity
densityHeat.ppp	Diffusion Estimate of Point Pattern Intensity
densityVoronoi	Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation
densityVoronoi.ppp	Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation
deriv.fv	Calculate Derivative of Function Values
detpointprocfamilyfun	Construct a New Determinantal Point Process Model Family Function
deviance.ppm	Log Likelihood and AIC for Point Process Model
deviance.slrm	Methods for Spatial Logistic Regression Models
dfbetas.ppm	Parameter Influence Measure
dfbetas.slrm	Leverage and Influence Diagnostics for Spatial Logistic Regression
dffit	Case Deletion Effect Measure of Fitted Model
dffit.ppm	Case Deletion Effect Measure of Fitted Model
dffit.slrm	Leverage and Influence Diagnostics for Spatial Logistic Regression
dg.envelope	Global Envelopes for Dao-Genton Test
dg.progress	Progress Plot of Dao-Genton Test of Spatial Pattern
dg.sigtrace	Significance Trace of Dao-Genton Test
dg.test	Dao-Genton Adjusted Goodness-Of-Fit Test
diagnose.ppm	Diagnostic Plots for Fitted Point Process Model
DiggleGatesStibbard	Diggle-Gates-Stibbard Point Process Model
DiggleGratton	Diggle-Gratton model
dim.detpointprocfamily	Dimension of Determinantal Point Process Model
dimhat	Estimate Dimension of Central Subspace
distcdf	Distribution Function of Interpoint Distance
dkernel	Kernel distributions and random generation
domain.dppm	Extract the Domain of any Spatial Object
domain.influence.ppm	Methods for Influence Objects
domain.kppm	Extract the Domain of any Spatial Object
domain.leverage.ppm	Methods for Leverage Objects
domain.msr	Extract the Domain of any Spatial Object
domain.ppm	Extract the Domain of any Spatial Object
domain.quadrattest	Extract the Domain of any Spatial Object
domain.slrm	Extract the Domain of any Spatial Object
dppapproxkernel	Approximate Determinantal Point Process Kernel
dppapproxpcf	Approximate Pair Correlation Function of Determinantal Point Process Model
dppBessel	Bessel Type Determinantal Point Process Model
dppCauchy	Generalized Cauchy Determinantal Point Process Model
dppeigen	Internal function calculating eig and index
dppGauss	Gaussian Determinantal Point Process Model
dppkernel	Extract Kernel from Determinantal Point Process Model Object
dppm	Fit Determinantal Point Process Model
dppMatern	Whittle-Matern Determinantal Point Process Model
dppparbounds	Parameter Bound for a Determinantal Point Process Model
dppPowerExp	Power Exponential Spectral Determinantal Point Process Model
dppspecden	Extract Spectral Density from Determinantal Point Process Model Object
dppspecdenrange	Range of Spectral Density of a Determinantal Point Process Model
dummify	Convert Data to Numeric Values by Constructing Dummy Variables
dummy.ppm	Extract Dummy Points Used to Fit a Point Process Model

-- E --

edge.Ripley	Ripley's Isotropic Edge Correction
edge.Trans	Translation Edge Correction
eem	Exponential Energy Marks
eem.ppm	Exponential Energy Marks
eem.slrm	Exponential Energy Marks
effectfun	Compute Fitted Effect of a Spatial Covariate in a Point Process Model
Emark	Diagnostics for random marking
emend	Force Model to be Valid
emend.ppm	Force Point Process Model to be Valid
emend.slrm	Force Spatial Logistic Regression Model to be Valid
envelope	Simulation Envelopes of Summary Function
envelope.envelope	Recompute Envelopes
envelope.kppm	Simulation Envelopes of Summary Function
envelope.pp3	Simulation Envelopes of Summary Function for 3D Point Pattern
envelope.ppm	Simulation Envelopes of Summary Function
envelope.ppp	Simulation Envelopes of Summary Function
envelope.slrm	Simulation Envelopes of Summary Function
envelopeArray	Array of Simulation Envelopes of Summary Function
eval.fasp	Evaluate Expression Involving Function Arrays
eval.fv	Evaluate Expression Involving Functions
exactMPLEstrauss	Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
extractAIC.dppm	Log Likelihood and AIC for Fitted Determinantal Point Process Model
extractAIC.kppm	Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
extractAIC.mppm	Log Likelihood and AIC for Multiple Point Process Model
extractAIC.ppm	Log Likelihood and AIC for Point Process Model

-- F --

F3est	Empty Space Function of a Three-Dimensional Point Pattern
fasp.object	Function Arrays for Spatial Patterns
Fest	Estimate the Empty Space Function or its Hazard Rate
Fhazard	Estimate the Empty Space Function or its Hazard Rate
Fiksel	The Fiksel Interaction
Finhom	Inhomogeneous Empty Space Function
fitin	Extract the Interaction from a Fitted Point Process Model
fitin.ppm	Extract the Interaction from a Fitted Point Process Model
fitin.profilepl	Extract the Interaction from a Fitted Point Process Model
fitted.dppm	Prediction from a Fitted Determinantal Point Process Model
fitted.kppm	Prediction from a Fitted Cluster Point Process Model
fitted.mppm	Fitted Conditional Intensity for Multiple Point Process Model
fitted.ppm	Fitted Conditional Intensity for Point Process Model
fitted.rppm	Make Predictions From a Recursively Partitioned Point Process Model
fitted.slrm	Fitted Probabilities for Spatial Logistic Regression
fixef.mppm	Extract Fixed Effects from Point Process Model
FmultiInhom	Inhomogeneous Marked F-Function
formula.dppm	Methods for Determinantal Point Process Models
formula.fv	Extract or Change the Plot Formula for a Function Value Table
formula.kppm	Methods for Cluster Point Process Models
formula.ppm	Model Formulae for Gibbs Point Process Models
formula.slrm	Methods for Spatial Logistic Regression Models
formula<-	Extract or Change the Plot Formula for a Function Value Table
formula<-.fv	Extract or Change the Plot Formula for a Function Value Table
fryplot	Fry Plot of Point Pattern
frypoints	Fry Plot of Point Pattern
fv	Create a Function Value Table
fv.object	Function Value Table
fvnames	Abbreviations for Groups of Columns in Function Value Table
fvnames<-	Abbreviations for Groups of Columns in Function Value Table

-- G --

G3est	Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern
Gcom	Model Compensator of Nearest Neighbour Function
Gcross	Multitype Nearest Neighbour Distance Function (i-to-j)
Gdot	Multitype Nearest Neighbour Distance Function (i-to-any)
Gest	Nearest Neighbour Distance Function G
getCall.mppm	Log Likelihood and AIC for Multiple Point Process Model
Geyer	Geyer's Saturation Point Process Model
Gfox	Foxall's Distance Functions
Ginhom	Inhomogeneous Nearest Neighbour Function
Gmulti	Marked Nearest Neighbour Distance Function
GmultiInhom	Inhomogeneous Marked G-Function
Gres	Residual G Function

-- H --

Hardcore	The Hard Core Point Process Model
hardcoredist	Extract the Hard Core Distance of a Point Process Model
hardcoredist.fii	Extract the Hard Core Distance of a Point Process Model
hardcoredist.ppm	Extract the Hard Core Distance of a Point Process Model
harmonic	Basis for Harmonic Functions
harmonise.fv	Make Function Tables Compatible
harmonise.msr	Make Measures Compatible
harmonize.fv	Make Function Tables Compatible
has.offset	Identify Covariates Involved in each Model Term
has.offset.term	Identify Covariates Involved in each Model Term
Hest	Spherical Contact Distribution Function
HierHard	The Hierarchical Hard Core Point Process Model
hierpair.family	Hierarchical Pairwise Interaction Process Family
HierStrauss	The Hierarchical Strauss Point Process Model
HierStraussHard	The Hierarchical Strauss Hard Core Point Process Model
hopskel	Hopkins-Skellam Test
hopskel.test	Hopkins-Skellam Test
hotbox	Heat Kernel for a Two-Dimensional Rectangle
Hybrid	Hybrid Interaction Point Process Model
hybrid.family	Hybrid Interaction Family

-- I --

ic	Model selection criteria for the intensity function of a point process
ic.kppm	Model selection criteria for the intensity function of a point process
ic.ppm	Model selection criteria for the intensity function of a point process
idw	Inverse-distance weighted smoothing of observations at irregular points
Iest	Estimate the I-function
image.objsurf	Methods for Objective Function Surfaces
image.ssf	Plot a Spatially Sampled Function
improve.kppm	Improve Intensity Estimate of Fitted Cluster Point Process Model
increment.fv	Increments of a Function
influence.ppm	Influence Measure for Spatial Point Process Model
influence.slrm	Leverage and Influence Diagnostics for Spatial Logistic Regression
inforder.family	Infinite Order Interaction Family
integral.influence.ppm	Methods for Influence Objects
integral.leverage.ppm	Methods for Leverage Objects
integral.msr	Integral of a Measure
integral.ssf	Methods for Spatially Sampled Functions
intensity.detpointprocfamily	Intensity of Determinantal Point Process Model
intensity.dppm	Intensity of Determinantal Point Process Model
intensity.ppm	Intensity of Fitted Point Process Model
intensity.slrm	Intensity of Fitted Spatial Logistic Regression Model
intensity.zclustermodel	Methods for Cluster Models
intensity.zgibbsmodel	Methods for Gibbs Models
interactionorder	Determine the Order of Interpoint Interaction in a Model
interactionorder.fii	Determine the Order of Interpoint Interaction in a Model
interactionorder.interact	Determine the Order of Interpoint Interaction in a Model
interactionorder.isf	Determine the Order of Interpoint Interaction in a Model
interactionorder.ppm	Determine the Order of Interpoint Interaction in a Model
interactionorder.zgibbsmodel	Methods for Gibbs Models
ippm	Fit Point Process Model Involving Irregular Trend Parameters
is.dppm	Recognise Fitted Determinantal Point Process Models
is.hybrid	Test Whether Object is a Hybrid
is.hybrid.interact	Test Whether Object is a Hybrid
is.hybrid.ppm	Test Whether Object is a Hybrid
is.kppm	Test Whether An Object Is A Fitted Point Process Model
is.lppm	Test Whether An Object Is A Fitted Point Process Model
is.marked.ppm	Test Whether A Point Process Model is Marked
is.multitype.ppm	Test Whether A Point Process Model is Multitype
is.poisson.interact	Recognise Stationary and Poisson Point Process Models
is.poisson.kppm	Recognise Stationary and Poisson Point Process Models
is.poisson.ppm	Recognise Stationary and Poisson Point Process Models
is.poisson.slrm	Recognise Stationary and Poisson Point Process Models
is.poisson.zgibbsmodel	Methods for Gibbs Models
is.ppm	Test Whether An Object Is A Fitted Point Process Model
is.slrm	Test Whether An Object Is A Fitted Point Process Model
is.stationary.detpointprocfamily	Recognise Stationary and Poisson Point Process Models
is.stationary.dppm	Recognise Stationary and Poisson Point Process Models
is.stationary.kppm	Recognise Stationary and Poisson Point Process Models
is.stationary.ppm	Recognise Stationary and Poisson Point Process Models
is.stationary.slrm	Recognise Stationary and Poisson Point Process Models
is.stationary.zgibbsmodel	Methods for Gibbs Models
isf.object	Interaction Structure Family Objects

-- J --

Jcross	Multitype J Function (i-to-j)
Jdot	Multitype J Function (i-to-any)
Jest	Estimate the J-function
Jfox	Foxall's Distance Functions
Jinhom	Inhomogeneous J-function
Jmulti	Marked J Function

-- K --

K3est	K-function of a Three-Dimensional Point Pattern
kaplan.meier	Kaplan-Meier Estimator using Histogram Data
Kcom	Model Compensator of K Function
Kcross	Multitype K Function (Cross-type)
Kcross.inhom	Inhomogeneous Cross K Function
Kdot	Multitype K Function (i-to-any)
Kdot.inhom	Inhomogeneous Multitype K Dot Function
kernel.factor	Scale factor for density kernel
kernel.moment	Moment of Smoothing Kernel
kernel.squint	Integral of Squared Kernel
Kest	K-function
Kest.fft	K-function using FFT
Kinhom	Inhomogeneous K-function
km.rs	Kaplan-Meier and Reduced Sample Estimator using Histograms
Kmark	Mark-Weighted K Function
Kmeasure	Reduced Second Moment Measure
Kmodel	K Function or Pair Correlation Function of a Point Process Model
Kmodel.detpointprocfamily	K-function or Pair Correlation Function of a Determinantal Point Process Model
Kmodel.dppm	K-function or Pair Correlation Function of a Determinantal Point Process Model
Kmodel.kppm	K Function or Pair Correlation Function of Cluster Model or Cox model
Kmodel.ppm	K Function or Pair Correlation Function of Gibbs Point Process model
Kmodel.zclustermodel	Methods for Cluster Models
Kmulti	Marked K-Function
Kmulti.inhom	Inhomogeneous Marked K-Function
kppm	Fit Cluster or Cox Point Process Model
kppm.formula	Fit Cluster or Cox Point Process Model
kppm.ppp	Fit Cluster or Cox Point Process Model
kppm.quad	Fit Cluster or Cox Point Process Model
Kres	Residual K Function
Kscaled	Locally Scaled K-function
Ksector	Sector K-function

-- L --

labels.dppm	Methods for Determinantal Point Process Models
labels.kppm	Methods for Cluster Point Process Models
labels.slrm	Methods for Spatial Logistic Regression Models
LambertW	Lambert's W Function
laslett	Laslett's Transform
Lcross	Multitype L-function (cross-type)
Lcross.inhom	Inhomogeneous Cross Type L Function
Ldot	Multitype L-function (i-to-any)
Ldot.inhom	Inhomogeneous Multitype L Dot Function
LennardJones	The Lennard-Jones Potential
Lest	L-function
leverage	Leverage Measure for Spatial Point Process Model
leverage.ppm	Leverage Measure for Spatial Point Process Model
leverage.slrm	Leverage and Influence Diagnostics for Spatial Logistic Regression
lgcp.estK	Fit a Log-Gaussian Cox Point Process by Minimum Contrast
lgcp.estpcf	Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Linhom	Inhomogeneous L-function
localK	Neighbourhood density function
localKcross	Local Multitype K Function (Cross-Type)
localKcross.inhom	Inhomogeneous Multitype K Function
localKdot	Local Multitype K Function (Dot-Type)
localKinhom	Inhomogeneous Neighbourhood Density Function
localL	Neighbourhood density function
localLcross	Local Multitype K Function (Cross-Type)
localLcross.inhom	Inhomogeneous Multitype K Function
localLdot	Local Multitype K Function (Dot-Type)
localLinhom	Inhomogeneous Neighbourhood Density Function
localpcf	Local pair correlation function
localpcfinhom	Local pair correlation function
logLik.dppm	Log Likelihood and AIC for Fitted Determinantal Point Process Model
logLik.kppm	Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
logLik.mppm	Log Likelihood and AIC for Multiple Point Process Model
logLik.ppm	Log Likelihood and AIC for Point Process Model
logLik.slrm	Loglikelihood of Spatial Logistic Regression
lohboot	Bootstrap Confidence Bands for Summary Function
Lscaled	Locally Scaled K-function
lurking	Lurking Variable Plot
lurking.mppm	Lurking Variable Plot for Multiple Point Patterns
lurking.ppm	Lurking Variable Plot
lurking.ppp	Lurking Variable Plot

-- M --

mad.progress	Progress Plot of Test of Spatial Pattern
mad.sigtrace	Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test
mad.test	Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
markconnect	Mark Connection Function
markcorr	Mark Correlation Function
markcorrint	Mark-Weighted K Function
markcrosscorr	Mark Cross-Correlation Function
markmarkscatter	Mark-Mark Scatter Plot
markmean	Spatial smoothing of observations at irregular points
marks.ssf	Methods for Spatially Sampled Functions
marks<-.ssf	Methods for Spatially Sampled Functions
marktable	Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
markvar	Spatial smoothing of observations at irregular points
markvario	Mark Variogram
matclust.estK	Fit the Matern Cluster Point Process by Minimum Contrast
matclust.estpcf	Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
max.fv	Range of Function Values
max.ssf	Methods for Spatially Sampled Functions
mctest.progress	Progress Plot of Test of Spatial Pattern
mctest.sigtrace	Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test
mean.leverage.ppm	Methods for Leverage Objects
measureContinuous	Discrete and Continuous Components of a Measure
measureDiscrete	Discrete and Continuous Components of a Measure
measureNegative	Positive and Negative Parts, and Variation, of a Measure
measurePositive	Positive and Negative Parts, and Variation, of a Measure
measureVariation	Positive and Negative Parts, and Variation, of a Measure
methods.dppm	Methods for Determinantal Point Process Models
methods.fii	Methods for Fitted Interactions
methods.influence.ppm	Methods for Influence Objects
methods.kppm	Methods for Cluster Point Process Models
methods.leverage.ppm	Methods for Leverage Objects
methods.objsurf	Methods for Objective Function Surfaces
methods.ppm	Class of Fitted Point Process Models
methods.rho2hat	Methods for Intensity Functions of Two Spatial Covariates
methods.rhohat	Methods for Intensity Functions of Spatial Covariate
methods.slrm	Methods for Spatial Logistic Regression Models
methods.ssf	Methods for Spatially Sampled Functions
methods.zclustermodel	Methods for Cluster Models
methods.zgibbsmodel	Methods for Gibbs Models
min.fv	Range of Function Values
min.ssf	Methods for Spatially Sampled Functions
mincontrast	Method of Minimum Contrast
miplot	Morisita Index Plot
model.covariates	Identify Covariates Involved in each Model Term
model.depends	Identify Covariates Involved in each Model Term
model.frame.dppm	Extract the Variables in a Point Process Model
model.frame.kppm	Extract the Variables in a Point Process Model
model.frame.ppm	Extract the Variables in a Point Process Model
model.frame.slrm	Extract the Variables in a Point Process Model
model.images	Compute Images of Constructed Covariates
model.images.dppm	Compute Images of Constructed Covariates
model.images.kppm	Compute Images of Constructed Covariates
model.images.ppm	Compute Images of Constructed Covariates
model.images.slrm	Compute Images of Constructed Covariates
model.is.additive	Identify Covariates Involved in each Model Term
model.matrix.dppm	Extract Design Matrix from Point Process Model
model.matrix.ippm	Extract Design Matrix from Point Process Model
model.matrix.kppm	Extract Design Matrix from Point Process Model
model.matrix.mppm	Extract Design Matrix of Point Process Model for Several Point Patterns
model.matrix.ppm	Extract Design Matrix from Point Process Model
model.matrix.slrm	Extract Design Matrix from Spatial Logistic Regression Model
mppm	Fit Point Process Model to Several Point Patterns
msr	Signed or Vector-Valued Measure
MultiHard	The Multitype Hard Core Point Process Model
MultiStrauss	The Multitype Strauss Point Process Model
MultiStraussHard	The Multitype/Hard Core Strauss Point Process Model

-- N --

nearest.neighbour	Nearest Neighbour Distance Function G
nnclean	Nearest Neighbour Clutter Removal
nnclean.pp3	Nearest Neighbour Clutter Removal
nnclean.ppp	Nearest Neighbour Clutter Removal
nncorr	Nearest-Neighbour Correlation Indices of Marked Point Pattern
nndensity	Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
nndensity.ppp	Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
nnmean	Nearest-Neighbour Correlation Indices of Marked Point Pattern
nnorient	Nearest Neighbour Orientation Distribution
nnvario	Nearest-Neighbour Correlation Indices of Marked Point Pattern
nobs.dppm	Log Likelihood and AIC for Fitted Determinantal Point Process Model
nobs.kppm	Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
nobs.mppm	Log Likelihood and AIC for Multiple Point Process Model
nobs.ppm	Log Likelihood and AIC for Point Process Model
npfun	Dummy Function Returns Number of Points

-- O --

objsurf	Objective Function Surface
objsurf.dppm	Objective Function Surface
objsurf.kppm	Objective Function Surface
objsurf.minconfit	Objective Function Surface
Ops.msr	Arithmetic Operations on Measures
Ord	Generic Ord Interaction model
ord.family	Ord Interaction Process Family
OrdThresh	Ord's Interaction model

-- P --

pairMean	Mean of a Function of Interpoint Distance
pairorient	Point Pair Orientation Distribution
PairPiece	The Piecewise Constant Pairwise Interaction Point Process Model
pairs.im	Scatterplot Matrix for Pixel Images
pairsat.family	Saturated Pairwise Interaction Point Process Family
Pairwise	Generic Pairwise Interaction model
pairwise.family	Pairwise Interaction Process Family
panel.contour	Panel Plots using Colour Image or Contour Lines
panel.histogram	Panel Plots using Colour Image or Contour Lines
panel.image	Panel Plots using Colour Image or Contour Lines
parameters	Extract Model Parameters in Understandable Form
parameters.dppm	Extract Model Parameters in Understandable Form
parameters.fii	Extract Model Parameters in Understandable Form
parameters.interact	Extract Model Parameters in Understandable Form
parameters.kppm	Extract Model Parameters in Understandable Form
parameters.ppm	Extract Model Parameters in Understandable Form
parameters.profilepl	Extract Model Parameters in Understandable Form
parameters.slrm	Extract Model Parameters in Understandable Form
parres	Partial Residuals for Point Process Model
pcf	Pair Correlation Function
pcf.fasp	Pair Correlation Function obtained from array of K functions
pcf.fv	Pair Correlation Function obtained from K Function
pcf.ppp	Pair Correlation Function of Point Pattern
pcf3est	Pair Correlation Function of a Three-Dimensional Point Pattern
pcfcross	Multitype pair correlation function (cross-type)
pcfcross.inhom	Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
pcfdot	Multitype pair correlation function (i-to-any)
pcfdot.inhom	Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
pcfinhom	Inhomogeneous Pair Correlation Function
pcfmodel	K Function or Pair Correlation Function of a Point Process Model
pcfmodel.detpointprocfamily	K-function or Pair Correlation Function of a Determinantal Point Process Model
pcfmodel.dppm	K-function or Pair Correlation Function of a Determinantal Point Process Model
pcfmodel.kppm	K Function or Pair Correlation Function of Cluster Model or Cox model
pcfmodel.ppm	K Function or Pair Correlation Function of Gibbs Point Process model
pcfmodel.zclustermodel	Methods for Cluster Models
pcfmulti	Marked pair correlation function
Penttinen	Penttinen Interaction
persp.leverage.ppm	Plot Leverage Function
persp.objsurf	Methods for Objective Function Surfaces
pkernel	Kernel distributions and random generation
plot.bermantest	Plot Result of Berman Test
plot.cdftest	Plot a Spatial Distribution Test
plot.diagppm	Diagnostic Plots for Fitted Point Process Model
plot.dppm	Plot a fitted determinantal point process
plot.envelope	Plot a Simulation Envelope
plot.fasp	Plot a Function Array
plot.fii	Methods for Fitted Interactions
plot.fv	Plot Function Values
plot.influence.ppm	Plot Influence Measure
plot.kppm	Plot a fitted cluster point process
plot.laslett	Plot Laslett Transform
plot.leverage.ppm	Plot Leverage Function
plot.mppm	plot a Fitted Multiple Point Process Model
plot.msr	Plot a Signed or Vector-Valued Measure
plot.objsurf	Methods for Objective Function Surfaces
plot.plotppm	Plot a plotppm Object Created by plot.ppm
plot.ppm	plot a Fitted Point Process Model
plot.profilepl	Plot Profile Likelihood
plot.quadrattest	Display the result of a quadrat counting test.
plot.rho2hat	Methods for Intensity Functions of Two Spatial Covariates
plot.rhohat	Methods for Intensity Functions of Spatial Covariate
plot.rppm	Plot a Recursively Partitioned Point Process Model
plot.scan.test	Plot Result of Scan Test
plot.slrm	Plot a Fitted Spatial Logistic Regression
plot.ssf	Plot a Spatially Sampled Function
plot.studpermutest	Plot a Studentised Permutation Test
Poisson	Poisson Point Process Model
polynom	Polynomial in One or Two Variables
pool	Pool Data
pool.anylist	Pool Data from a List of Objects
pool.envelope	Pool Data from Several Envelopes
pool.fasp	Pool Data from Several Function Arrays
pool.fv	Pool Several Functions
pool.quadrattest	Pool Several Quadrat Tests
pool.rat	Pool Data from Several Ratio Objects
ppm	Fit Point Process Model to Data
ppm.formula	Fit Point Process Model to Data
ppm.object	Class of Fitted Point Process Models
ppm.ppp	Fit Point Process Model to Point Pattern Data
ppm.quad	Fit Point Process Model to Point Pattern Data
ppmInfluence	Leverage and Influence Measures for Spatial Point Process Model
PPversion	Transform a Function into its P-P or Q-Q Version
predict.dppm	Prediction from a Fitted Determinantal Point Process Model
predict.kppm	Prediction from a Fitted Cluster Point Process Model
predict.mppm	Prediction for Fitted Multiple Point Process Model
predict.ppm	Prediction from a Fitted Point Process Model
predict.rho2hat	Methods for Intensity Functions of Two Spatial Covariates
predict.rhohat	Methods for Intensity Functions of Spatial Covariate
predict.rppm	Make Predictions From a Recursively Partitioned Point Process Model
predict.slrm	Predicted or Fitted Values from Spatial Logistic Regression
predict.zclustermodel	Methods for Cluster Models
print.dppm	Methods for Determinantal Point Process Models
print.fii	Methods for Fitted Interactions
print.kppm	Methods for Cluster Point Process Models
print.objsurf	Methods for Objective Function Surfaces
print.ppm	Print a Fitted Point Process Model
print.rho2hat	Methods for Intensity Functions of Two Spatial Covariates
print.rhohat	Methods for Intensity Functions of Spatial Covariate
print.slrm	Methods for Spatial Logistic Regression Models
print.ssf	Methods for Spatially Sampled Functions
print.summary.dppm	Summarizing a Fitted Determinantal Point Process Model
print.summary.fii	Methods for Fitted Interactions
print.summary.kppm	Summarizing a Fitted Cox or Cluster Point Process Model
print.summary.objsurf	Methods for Objective Function Surfaces
print.summary.ppm	Summarizing a Fitted Point Process Model
print.zclustermodel	Methods for Cluster Models
print.zgibbsmodel	Methods for Gibbs Models
profilepl	Fit Models by Profile Maximum Pseudolikelihood or AIC
project.ppm	Force Point Process Model to be Valid
prune.rppm	Prune a Recursively Partitioned Point Process Model
pseudoR2	Calculate Pseudo-R-Squared for Point Process Model
pseudoR2.ppm	Calculate Pseudo-R-Squared for Point Process Model
pseudoR2.slrm	Calculate Pseudo-R-Squared for Point Process Model
psib	Sibling Probability of Cluster Point Process
psib.kppm	Sibling Probability of Cluster Point Process
psst	Pseudoscore Diagnostic For Fitted Model against General Alternative
psstA	Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
psstG	Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

-- Q --

qkernel	Kernel distributions and random generation
qqplot.ppm	Q-Q Plot of Residuals from Fitted Point Process Model
QQversion	Transform a Function into its P-P or Q-Q Version
quad.ppm	Extract Quadrature Scheme Used to Fit a Point Process Model
quadrat.test	Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.mppm	Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts
quadrat.test.ppm	Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.ppp	Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.quadratcount	Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.slrm	Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.splitppp	Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts
quantile.density	Quantiles of a Density Estimate

-- R --

ranef.mppm	Extract Random Effects from Point Process Model
range.fv	Range of Function Values
range.ssf	Methods for Spatially Sampled Functions
rat	Ratio object
rdpp	Simulation of a Determinantal Point Process
reach.detpointprocfamily	Range of Interaction for a Determinantal Point Process Model
reach.dppm	Range of Interaction for a Determinantal Point Process Model
reach.fii	Interaction Distance of a Point Process Model
reach.interact	Interaction Distance of a Point Process Model
reach.kppm	Range of Interaction for a Cox or Cluster Point Process Model
reach.ppm	Interaction Distance of a Point Process Model
reach.zclustermodel	Methods for Cluster Models
rectcontact	Contact Distribution Function using Rectangular Structuring Element
reduced.sample	Reduced Sample Estimator using Histogram Data
reload.or.compute	Compute Unless Previously Saved
relrisk	Estimate of Spatially-Varying Relative Risk
relrisk.ppm	Parametric Estimate of Spatially-Varying Relative Risk
relrisk.ppp	Nonparametric Estimate of Spatially-Varying Relative Risk
repul	Repulsiveness Index of a Determinantal Point Process Model
repul.dppm	Repulsiveness Index of a Determinantal Point Process Model
residuals.dppm	Residuals for Fitted Determinantal Point Process Model
residuals.kppm	Residuals for Fitted Cox or Cluster Point Process Model
residuals.mppm	Residuals for Point Process Model Fitted to Multiple Point Patterns
residuals.ppm	Residuals for Fitted Point Process Model
residuals.slrm	Residuals for Fitted Spatial Logistic Regression Model
response	Extract the Values of the Response from a Fitted Model
response.dppm	Extract the Values of the Response from a Fitted Model
response.glm	Extract the Values of the Response from a Fitted Model
response.kppm	Extract the Values of the Response from a Fitted Model
response.lm	Extract the Values of the Response from a Fitted Model
response.mppm	Extract the Values of the Response from a Fitted Model
response.ppm	Extract the Values of the Response from a Fitted Model
response.slrm	Extract the Values of the Response from a Fitted Model
rex	Richardson Extrapolation
rho2hat	Smoothed Relative Density of Pairs of Covariate Values
rhohat	Nonparametric Estimate of Intensity as Function of a Covariate
rhohat.ppm	Nonparametric Estimate of Intensity as Function of a Covariate
rhohat.ppp	Nonparametric Estimate of Intensity as Function of a Covariate
rhohat.quad	Nonparametric Estimate of Intensity as Function of a Covariate
rhohat.slrm	Nonparametric Estimate of Intensity as Function of a Covariate
rkernel	Kernel distributions and random generation
rmax.Ripley	Ripley's Isotropic Edge Correction
rmax.Trans	Translation Edge Correction
rmh.ppm	Simulate from a Fitted Point Process Model
rmhmodel.ppm	Interpret Fitted Model for Metropolis-Hastings Simulation.
roc	Receiver Operating Characteristic
roc.kppm	Receiver Operating Characteristic
roc.ppm	Receiver Operating Characteristic
roc.ppp	Receiver Operating Characteristic
roc.slrm	Receiver Operating Characteristic
rose	Rose Diagram
rose.default	Rose Diagram
rose.density	Rose Diagram
rose.fv	Rose Diagram
rose.histogram	Rose Diagram
rotmean	Rotational Average of a Pixel Image
rppm	Recursively Partitioned Point Process Model

-- S --

SatPiece	Piecewise Constant Saturated Pairwise Interaction Point Process Model
Saturated	Saturated Pairwise Interaction model
scan.test	Spatial Scan Test
scanLRTS	Likelihood Ratio Test Statistic for Scan Test
sdr	Sufficient Dimension Reduction
sdr.ppp	Sufficient Dimension Reduction
sdrPredict	Compute Predictors from Sufficient Dimension Reduction
segregation.test	Test of Spatial Segregation of Types
segregation.test.ppp	Test of Spatial Segregation of Types
sharpen	Data Sharpening of Point Pattern
sharpen.ppp	Data Sharpening of Point Pattern
simulate.detpointprocfamily	Simulation of Determinantal Point Process Model
simulate.dppm	Simulation of Determinantal Point Process Model
simulate.kppm	Simulate a Fitted Cluster Point Process Model
simulate.mppm	Simulate a Point Process Model Fitted to Several Point Patterns
simulate.ppm	Simulate a Fitted Gibbs Point Process Model
simulate.rhohat	Methods for Intensity Functions of Spatial Covariate
simulate.slrm	Simulate a Fitted Spatial Logistic Regression Model
slrm	Spatial Logistic Regression
Smooth	Spatial smoothing of data
Smooth.fv	Apply Smoothing to Function Values
Smooth.im	Apply Gaussian Blur to a Pixel Image
Smooth.influence.ppm	Methods for Influence Objects
Smooth.leverage.ppm	Methods for Leverage Objects
Smooth.msr	Smooth a Signed or Vector-Valued Measure
Smooth.ppp	Spatial smoothing of observations at irregular points
Smooth.ssf	Smooth a Spatially Sampled Function
Smoothfun	Smooth Interpolation of Marks as a Spatial Function
Smoothfun.ppp	Smooth Interpolation of Marks as a Spatial Function
Softcore	The Soft Core Point Process Model
spatcov	Estimate the Spatial Covariance Function of a Random Field
spatialcdf	Spatial Cumulative Distribution Function
spatstat.core	The spatstat.core Package
split.msr	Divide a Measure into Parts
ssf	Spatially Sampled Function
stieltjes	Compute Integral of Function Against Cumulative Distribution
stienen	Stienen Diagram
stienenSet	Stienen Diagram
Strauss	The Strauss Point Process Model
StraussHard	The Strauss / Hard Core Point Process Model
studpermu.test	Studentised Permutation Test
subfits	Extract List of Individual Point Process Models
subfits.new	Extract List of Individual Point Process Models
subfits.old	Extract List of Individual Point Process Models
subspaceDistance	Distance Between Linear Spaces
suffstat	Sufficient Statistic of Point Process Model
summary.dppm	Summarizing a Fitted Determinantal Point Process Model
summary.fii	Methods for Fitted Interactions
summary.kppm	Summarizing a Fitted Cox or Cluster Point Process Model
summary.objsurf	Methods for Objective Function Surfaces
summary.ppm	Summarizing a Fitted Point Process Model
summary.slrm	Methods for Spatial Logistic Regression Models
summary.ssf	Methods for Spatially Sampled Functions

-- T --

terms.dppm	Methods for Determinantal Point Process Models
terms.kppm	Methods for Cluster Point Process Models
terms.mppm	Log Likelihood and AIC for Multiple Point Process Model
terms.ppm	Model Formulae for Gibbs Point Process Models
terms.slrm	Methods for Spatial Logistic Regression Models
thomas.estK	Fit the Thomas Point Process by Minimum Contrast
thomas.estpcf	Fit the Thomas Point Process by Minimum Contrast
thresholdCI	Confidence Interval for Threshold of Numerical Predictor
thresholdSelect	Select Threshold to Convert Numerical Predictor to Binary Predictor
totalVariation	Positive and Negative Parts, and Variation, of a Measure
transect.im	Pixel Values Along a Transect
triplet.family	Triplet Interaction Family
Triplets	The Triplet Point Process Model
Tstat	Third order summary statistic

-- U --

unitname.dppm	Name for Unit of Length
unitname.kppm	Name for Unit of Length
unitname.minconfit	Name for Unit of Length
unitname.ppm	Name for Unit of Length
unitname.slrm	Name for Unit of Length
unitname<-.dppm	Name for Unit of Length
unitname<-.kppm	Name for Unit of Length
unitname<-.minconfit	Name for Unit of Length
unitname<-.ppm	Name for Unit of Length
unitname<-.slrm	Name for Unit of Length
unmark.ssf	Methods for Spatially Sampled Functions
unstack.msr	Separate a Vector Measure into its Scalar Components
update.detpointprocfamily	Set Parameter Values in a Determinantal Point Process Model
update.interact	Update an Interpoint Interaction
update.kppm	Update a Fitted Cluster Point Process Model
update.ppm	Update a Fitted Point Process Model
update.slrm	Methods for Spatial Logistic Regression Models

-- V --

valid	Check Whether Point Process Model is Valid
valid.detpointprocfamily	Check Validity of a Determinantal Point Process Model
valid.ppm	Check Whether Point Process Model is Valid
valid.slrm	Check Whether Spatial Logistic Regression Model is Valid
varblock	Estimate Variance of Summary Statistic by Subdivision
varcount	Predicted Variance of the Number of Points
vargamma.estK	Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
vargamma.estpcf	Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
vcov.kppm	Variance-Covariance Matrix for a Fitted Cluster Point Process Model
vcov.mppm	Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model
vcov.ppm	Variance-Covariance Matrix for a Fitted Point Process Model
vcov.slrm	Variance-Covariance Matrix for a Fitted Spatial Logistic Regression
Vmark	Diagnostics for random marking

-- W --

Window.dppm	Extract Window of Spatial Object
Window.influence.ppm	Methods for Influence Objects
Window.kppm	Extract Window of Spatial Object
Window.leverage.ppm	Methods for Leverage Objects
Window.msr	Extract Window of Spatial Object
Window.ppm	Extract Window of Spatial Object
Window.quadrattest	Extract Window of Spatial Object
Window.slrm	Extract Window of Spatial Object
with.fv	Evaluate an Expression in a Function Table
with.msr	Evaluate Expression Involving Components of a Measure
with.ssf	Evaluate Expression in a Spatially Sampled Function

-- Z --

zclustermodel	Cluster Point Process Model
zgibbsmodel	Gibbs Model

-- misc --

$<-.fv	Extract or Replace Subset of Function Values
[.fasp	Extract Subset of Function Array
[.fv	Extract or Replace Subset of Function Values
[.influence.ppm	Extract Subset of Influence Object
[.leverage.ppm	Extract Subset of Leverage Object
[.msr	Extract Subset of Signed or Vector Measure
[.ssf	Subset of spatially sampled function
[<-.fv	Extract or Replace Subset of Function Values