Core Functionality of the 'spatstat' Family

adaptive.density | Adaptive Estimate of Intensity of Point Pattern |

addvar | Added Variable Plot for Point Process Model |

allstats | Calculate four standard summary functions of a point pattern. |

alltypes | Calculate Summary Statistic for All Types in a Multitype... |

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 |

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.fv | Convert Data To Class fv |

as.interact | Extract Interaction Structure |

as.layered.msr | Convert Measure To Layered Object |

as.owin.ppm | Convert Data To Class owin |

as.ppm | Extract Fitted Point Process Model |

auc | Area Under ROC Curve |

BadGey | Hybrid Geyer Point Process Model |

bc.ppm | Bias Correction for Fitted Model |

berman.test | 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... |

bw.CvLHeat | Bandwidth Selection for Diffusion Smoother by Cronie-van... |

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... |

bw.ppl | Likelihood Cross Validation Bandwidth Selection for Kernel... |

bw.pplHeat | Bandwidth Selection for Diffusion Smoother by Likelihood... |

bw.relrisk | Cross Validated Bandwidth Selection for Relative Risk... |

bw.scott | 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 |

cauchy.estK | Fit the Neyman-Scott cluster process with Cauchy kernel |

cauchy.estpcf | Fit the Neyman-Scott cluster process with Cauchy kernel |

CDF | Cumulative Distribution Function From Kernel Density Estimate |

cdf.test | Spatial Distribution Test for Point Pattern or Point Process... |

cdf.test.mppm | Spatial Distribution Test for Multiple 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 | Field of clusters |

clusterfit | Fit Cluster or Cox Point Process Model via Minimum Contrast |

clusterkernel | Extract Cluster Offspring Kernel |

clusterradius | Compute or Extract Effective Range of Cluster Kernel |

clusterset | Allard-Fraley Estimator of Cluster Feature |

coef.mppm | Coefficients of Point Process Model Fitted to Multiple Point... |

coef.ppm | Coefficients of Fitted Point Process Model |

coef.slrm | Coefficients of Fitted Spatial Logistic Regression Model |

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... |

Concom | The Connected Component Process Model |

cov.im | Covariance and Correlation between Images |

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... |

dclf.test | Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation... |

densityAdaptiveKernel | Adaptive Kernel Estimate of Intensity of Point Pattern |

densityfun | Kernel Estimate of Intensity as a Spatial Function |

densityHeat | Diffusion Estimate of Point Pattern Intensity |

densityHeat.ppp | Diffusion Estimate of Point Pattern Intensity |

density.ppp | Kernel Smoothed Intensity of Point Pattern |

density.psp | Kernel Smoothing of Line Segment Pattern |

density.splitppp | Kernel Smoothed Intensity of Split Point Pattern |

densityVoronoi | Intensity Estimate of Point Pattern Using Voronoi-Dirichlet... |

deriv.fv | Calculate Derivative of Function Values |

detpointprocfamilyfun | Construct a New Determinantal Point Process Model Family... |

dfbetas.ppm | Parameter Influence Measure |

dffit.ppm | Case Deletion Effect Measure of Fitted Model |

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.ppm | Extract the Domain of any Spatial Object |

dppapproxkernel | Approximate Determinantal Point Process Kernel |

dppapproxpcf | Approximate Pair Correlation Function of Determinantal Point... |

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... |

dppspecdenrange | Range of Spectral Density of a Determinantal Point Process... |

dummify | Convert Data to Numeric Values by Constructing Dummy... |

dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model |

edge.Ripley | Ripley's Isotropic Edge Correction |

edge.Trans | Translation Edge Correction |

eem | Exponential Energy Marks |

effectfun | Compute Fitted Effect of a Spatial Covariate in a Point... |

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 |

envelopeArray | Array of Simulation Envelopes of Summary Function |

envelope.envelope | Recompute Envelopes |

envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern |

eval.fasp | Evaluate Expression Involving Function Arrays |

eval.fv | Evaluate Expression Involving Functions |

exactMPLEstrauss | Exact Maximum Pseudolikelihood Estimate for Stationary... |

Extract.fasp | Extract Subset of Function Array |

Extract.fv | Extract or Replace Subset of Function Values |

Extract.influence.ppm | Extract Subset of Influence Object |

Extract.leverage.ppm | Extract Subset of Leverage Object |

Extract.msr | Extract Subset of Signed or Vector Measure |

Extract.ssf | Subset of spatially sampled function |

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 |

Fiksel | The Fiksel Interaction |

Finhom | Inhomogeneous Empty Space Function |

fitin | Extract the Interaction from a Fitted Point Process Model |

fitted.mppm | Fitted Conditional Intensity for Multiple Point Process Model |

fitted.ppm | Fitted Conditional Intensity for 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.fv | Extract or Change the Plot Formula for a Function Value Table |

formula.ppm | Model Formulae for Gibbs Point Process Models |

fryplot | Fry Plot of Point Pattern |

fv | Create a Function Value Table |

fvnames | Abbreviations for Groups of Columns in Function Value Table |

fv.object | Function Value Table |

G3est | Nearest Neighbour Distance Distribution Function of a... |

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 |

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 |

Hardcore | The Hard Core Point Process Model |

hardcoredist | 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 |

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 |

hotbox | Heat Kernel for a Two-Dimensional Rectangle |

Hybrid | Hybrid Interaction Point Process Model |

hybrid.family | Hybrid Interaction Family |

ic.kppm | Model selection criteria for the intensity function of a... |

idw | Inverse-distance weighted smoothing of observations at... |

Iest | Estimate the I-function |

improve.kppm | Improve Intensity Estimate of Fitted Cluster Point Process... |

increment.fv | Increments of a Function |

influence.ppm | Influence Measure for Spatial Point Process Model |

inforder.family | Infinite Order Interaction Family |

integral.msr | Integral of a Measure |

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 |

interactionorder | Determine the Order of Interpoint Interaction in a Model |

ippm | Fit Point Process Model Involving Irregular Trend Parameters |

is.dppm | Recognise Fitted Determinantal Point Process Models |

isf.object | Interaction Structure Family Objects |

is.hybrid | Test Whether Object is a Hybrid |

is.marked.ppm | Test Whether A Point Process Model is Marked |

is.multitype.ppm | Test Whether A Point Process Model is Multitype |

is.ppm | Test Whether An Object Is A Fitted Point Process Model |

is.stationary.ppm | Recognise Stationary and Poisson Point Process Models |

Jcross | Multitype J Function (i-to-j) |

Jdot | Multitype J Function (i-to-any) |

Jest | Estimate the J-function |

Jinhom | Inhomogeneous J-function |

Jmulti | Marked J Function |

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 |

Kmark | Mark-Weighted K Function |

Kmeasure | Reduced Second Moment Measure |

Kmodel | K Function or Pair Correlation Function of a Point Process... |

Kmodel.dppm | K-function or Pair Correlation Function of a Determinantal... |

Kmodel.kppm | K Function or Pair Correlation Function of Cluster Model or... |

Kmodel.ppm | K Function or Pair Correlation Function of Gibbs Point... |

km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms |

Kmulti | Marked K-Function |

Kmulti.inhom | Inhomogeneous Marked K-Function |

kppm | Fit Cluster or Cox Point Process Model |

Kres | Residual K Function |

Kscaled | Locally Scaled K-function |

Ksector | Sector K-function |

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.ppm | Leverage Measure for Spatial Point Process Model |

leverage.slrm | Leverage and Influence Diagnostics for Spatial Logistic... |

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 |

localpcf | Local pair correlation function |

logLik.dppm | Log Likelihood and AIC for Fitted Determinantal Point Process... |

logLik.kppm | Log Likelihood and AIC for Fitted Cox or Cluster Point... |

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 |

lurking | Lurking Variable Plot |

lurking.mppm | Lurking Variable Plot for Multiple Point Patterns |

markconnect | Mark Connection Function |

markcorr | Mark Correlation Function |

markcrosscorr | Mark Cross-Correlation Function |

markmarkscatter | Mark-Mark Scatter Plot |

marktable | Tabulate Marks in Neighbourhood of Every Point in a Point... |

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... |

measureContinuous | Discrete and Continuous Components 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.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 |

mincontrast | Method of Minimum Contrast |

miplot | Morisita Index Plot |

model.depends | Identify Covariates Involved in each Model Term |

model.frame.ppm | Extract the Variables in a Point Process Model |

model.images | Compute Images of Constructed Covariates |

model.matrix.mppm | Extract Design Matrix of Point Process Model for Several... |

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 |

nnclean | Nearest Neighbour Clutter Removal |

nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern |

nndensity | Estimate Intensity of Point Pattern Using Nearest Neighbour... |

nnorient | Nearest Neighbour Orientation Distribution |

npfun | Dummy Function Returns Number of Points |

objsurf | 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 |

pairMean | Mean of a Function of Interpoint Distance |

pairorient | Point Pair Orientation Distribution |

PairPiece | The Piecewise Constant Pairwise Interaction Point Process... |

pairsat.family | Saturated Pairwise Interaction Point Process Family |

pairs.im | Scatterplot Matrix for Pixel Images |

Pairwise | Generic Pairwise Interaction model |

pairwise.family | Pairwise Interaction Process Family |

panel.contour | Panel Plots using Colour Image or Contour Lines |

parameters | Extract Model Parameters in Understandable Form |

parres | Partial Residuals for Point Process Model |

pcf | Pair Correlation Function |

pcf3est | Pair Correlation Function of a Three-Dimensional Point... |

pcfcross | Multitype pair correlation function (cross-type) |

pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function... |

pcfdot | Multitype pair correlation function (i-to-any) |

pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function... |

pcf.fasp | Pair Correlation Function obtained from array of K functions |

pcf.fv | Pair Correlation Function obtained from K Function |

pcfinhom | Inhomogeneous Pair Correlation Function |

pcfmulti | Marked pair correlation function |

pcf.ppp | Pair Correlation Function of Point Pattern |

Penttinen | Penttinen Interaction |

plot.bermantest | Plot Result of Berman Test |

plot.cdftest | Plot a Spatial Distribution Test |

plot.dppm | Plot a fitted determinantal point process |

plot.envelope | Plot a Simulation Envelope |

plot.fasp | Plot a Function Array |

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.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.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 |

ppmInfluence | Leverage and Influence Measures for Spatial Point Process... |

ppm.object | Class of Fitted Point Process Models |

ppm.ppp | Fit Point Process Model to Point Pattern Data |

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.rppm | Make Predictions From a Recursively Partitioned Point Process... |

predict.slrm | Predicted or Fitted Values from Spatial Logistic Regression |

print.ppm | Print a Fitted Point Process Model |

profilepl | Fit Models by Profile Maximum Pseudolikelihood or AIC |

prune.rppm | Prune a Recursively Partitioned Point Process Model |

pseudoR2 | Calculate Pseudo-R-Squared for Point Process Model |

psib | Sibling Probability of Cluster Point Process |

psst | Pseudoscore Diagnostic For Fitted Model against General... |

psstA | Pseudoscore Diagnostic For Fitted Model against... |

psstG | Pseudoscore Diagnostic For Fitted Model against Saturation... |

qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model |

quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model |

quadrat.test | Dispersion Test for Spatial Point Pattern Based on Quadrat... |

quadrat.test.mppm | Chi-Squared Test for Multiple Point Process Model Based on... |

quadrat.test.splitppp | Dispersion Test of CSR for Split Point Pattern Based on... |

quantile.density | Quantiles of a Density Estimate |

ranef.mppm | Extract Random Effects from Point Process Model |

range.fv | Range of Function Values |

rat | Ratio object |

rdpp | Simulation of a Determinantal Point Process |

reach | Interaction Distance of a Point Process Model |

reach.dppm | Range of Interaction for a Determinantal Point Process Model |

reach.kppm | Range of Interaction for a Cox or Cluster Point Process Model |

rectcontact | Contact Distribution Function using Rectangular Structuring... |

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 |

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... |

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 |

rex | Richardson Extrapolation |

rho2hat | Smoothed Relative Density of Pairs of Covariate Values |

rhohat | Nonparametric Estimate of Intensity as Function of a... |

rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. |

rmh.ppm | Simulate from a Fitted Point Process Model |

roc | Receiver Operating Characteristic |

rose | Rose Diagram |

rotmean | Rotational Average of a Pixel Image |

rppm | Recursively Partitioned Point Process Model |

SatPiece | Piecewise Constant Saturated Pairwise Interaction Point... |

Saturated | Saturated Pairwise Interaction model |

scanLRTS | Likelihood Ratio Test Statistic for Scan Test |

scan.test | Spatial Scan Test |

sdr | Sufficient Dimension Reduction |

sdrPredict | Compute Predictors from Sufficient Dimension Reduction |

segregation.test | Test of Spatial Segregation of Types |

sharpen | Data Sharpening of Point Pattern |

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... |

simulate.ppm | Simulate a Fitted Gibbs Point Process Model |

simulate.slrm | Simulate a Fitted Spatial Logistic Regression Model |

slrm | Spatial Logistic Regression |

Smooth | Spatial smoothing of data |

Smoothfun.ppp | Smooth Interpolation of Marks as a Spatial Function |

Smooth.fv | Apply Smoothing to Function Values |

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 |

Softcore | The Soft Core Point Process Model |

spatcov | Estimate the Spatial Covariance Function of a Random Field |

spatialcdf | Spatial Cumulative Distribution Function |

spatstat.core-deprecated | Deprecated spatstat.core functions |

spatstat.core-internal | Internal spatstat.core functions |

spatstat.core-package | 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 |

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 |

subspaceDistance | Distance Between Linear Spaces |

suffstat | Sufficient Statistic of Point Process Model |

summary.dppm | Summarizing a Fitted Determinantal Point Process Model |

summary.kppm | Summarizing a Fitted Cox or Cluster Point Process Model |

summary.ppm | Summarizing a Fitted Point Process Model |

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... |

transect.im | Pixel Values Along a Transect |

triplet.family | Triplet Interaction Family |

Triplets | The Triplet Point Process Model |

Tstat | Third order summary statistic |

unitname | Name for Unit of Length |

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 |

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... |

vargamma.estpcf | Fit the Neyman-Scott Cluster Point Process with Variance... |

vcov.kppm | Variance-Covariance Matrix for a Fitted Cluster Point Process... |

vcov.mppm | Calculate Variance-Covariance Matrix for Fitted Multiple... |

vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model |

vcov.slrm | Variance-Covariance Matrix for a Fitted Spatial Logistic... |

Window.ppm | 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 |

zclustermodel | Cluster Point Process Model |

zgibbsmodel | Gibbs Model |

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