Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests

adaptive.density | Intensity Estimate of Point Pattern Using Tessellation |

add.texture | Fill Plot With Texture |

addvar | Added Variable Plot for Point Process Model |

affine | Apply Affine Transformation |

affine.im | Apply Affine Transformation To Pixel Image |

affine.linnet | Apply Geometrical Transformations to a Linear Network |

affine.lpp | Apply Geometrical Transformations to Point Pattern on a... |

affine.owin | Apply Affine Transformation To Window |

affine.ppp | Apply Affine Transformation To Point Pattern |

affine.psp | Apply Affine Transformation To Line Segment Pattern |

affine.tess | Apply Geometrical Transformation To Tessellation |

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

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

angles.psp | Orientation Angles of Line Segments |

anova.lppm | ANOVA for Fitted Point Process Models on Linear Network |

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 |

anylist | List of Objects |

anyNA.im | Check Whether Image Contains NA Values |

append.psp | Combine Two Line Segment Patterns |

applynbd | Apply Function to Every Neighbourhood in a Point Pattern |

areaGain | Difference of Disc Areas |

AreaInter | The Area Interaction Point Process Model |

areaLoss | Difference of Disc Areas |

area.owin | Area of a Window |

as.box3 | Convert Data to Three-Dimensional Box |

as.boxx | Convert Data to Multi-Dimensional Box |

as.data.frame.envelope | Coerce Envelope to Data Frame |

as.data.frame.hyperframe | Coerce Hyperframe to Data Frame |

as.data.frame.im | Convert Pixel Image to Data Frame |

as.data.frame.owin | Convert Window to Data Frame |

as.data.frame.ppp | Coerce Point Pattern to a Data Frame |

as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame |

as.data.frame.tess | Convert Tessellation to Data Frame |

as.function.fv | Convert Function Value Table to Function |

as.function.im | Convert Pixel Image to Function of Coordinates |

as.function.leverage.ppm | Convert Leverage Object to Function of Coordinates |

as.function.owin | Convert Window to Indicator Function |

as.function.tess | Convert a Tessellation to a Function |

as.fv | Convert Data To Class fv |

as.hyperframe | Convert Data to Hyperframe |

as.hyperframe.ppx | Extract coordinates and marks of multidimensional point... |

as.im | Convert to Pixel Image |

as.interact | Extract Interaction Structure |

as.layered | Convert Data To Layered Object |

as.linfun | Convert Data to a Function on a Linear Network |

as.linim | Convert to Pixel Image on Linear Network |

as.linnet.linim | Extract Linear Network from Data on a Linear Network |

as.linnet.psp | Convert Line Segment Pattern to Linear Network |

as.lpp | Convert Data to a Point Pattern on a Linear Network |

as.mask | Pixel Image Approximation of a Window |

as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask |

as.matrix.im | Convert Pixel Image to Matrix or Array |

as.matrix.owin | Convert Pixel Image to Matrix |

as.owin | Convert Data To Class owin |

as.polygonal | Convert a Window to a Polygonal Window |

as.ppm | Extract Fitted Point Process Model |

as.ppp | Convert Data To Class ppp |

as.psp | Convert Data To Class psp |

as.rectangle | Window Frame |

as.solist | Convert List of Two-Dimensional Spatial Objects |

as.tess | Convert Data To Tessellation |

auc | Area Under ROC Curve |

BadGey | Hybrid Geyer Point Process Model |

bc.ppm | Bias Correction for Fitted Model |

bdist.pixels | Distance to Boundary of Window |

bdist.points | Distance to Boundary of Window |

bdist.tiles | Distance to Boundary of Window |

beachcolours | Create Colour Scheme for a Range of Numbers |

beginner | Print Introduction For Beginners |

begins | Check Start of Character String |

berman.test | Berman's Tests for Point Process Model |

bind.fv | Combine Function Value Tables |

bits.test | Balanced Independent Two-Stage Monte Carlo Test |

blur | Apply Gaussian Blur to a Pixel Image |

border | Border Region of a Window |

boundingbox | Bounding Box of a Window, Image, or Point Pattern |

bounding.box.xy | Convex Hull of Points |

boundingcircle | Smallest Enclosing Circle |

box3 | Three-Dimensional Box |

boxx | Multi-Dimensional Box |

branchlabelfun | Tree Branch Membership Labelling Function |

bugfixes | List Recent Bug Fixes |

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.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 |

by.im | Apply Function to Image Broken Down by Factor |

by.ppp | Apply a Function to a Point Pattern Broken Down by Factor |

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

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

cbind.hyperframe | Combine Hyperframes by Rows or by Columns |

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 |

centroid.owin | Centroid of a window |

chop.tess | Subdivide a Window or Tessellation using a Set of Lines |

circdensity | Density Estimation for Circular Data |

clarkevans | Clark and Evans Aggregation Index |

clarkevans.test | Clark and Evans Test |

clickbox | Interactively Define a Rectangle |

clickdist | Interactively Measure Distance |

clickjoin | Interactively join vertices on a plot |

clicklpp | Interactively Add Points on a Linear Network |

clickpoly | Interactively Define a Polygon |

clickppp | Interactively Add Points |

clip.infline | Intersect Infinite Straight Lines with a Window |

closepairs | Close Pairs of Points |

closepairs.pp3 | Close Pairs of Points in 3 Dimensions |

closetriples | Close Triples of Points |

closing | Morphological Closing |

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 |

colourmap | Colour Lookup Tables |

colouroutputs | Extract or Assign Colour Values in a Colour Map |

colourtools | Convert and Compare Colours in Different Formats |

commonGrid | Determine A Common Spatial Domain And Pixel Resolution |

compareFit | Residual Diagnostics for Multiple Fitted Models |

compatible | Test Whether Objects Are Compatible |

compatible.fasp | Test Whether Function Arrays Are Compatible |

compatible.fv | Test Whether Function Objects Are Compatible |

compatible.im | Test Whether Pixel Images Are Compatible |

compileK | Generic Calculation of K Function and Pair Correlation... |

complement.owin | Take Complement of a Window |

concatxy | Concatenate x,y Coordinate Vectors |

Concom | The Connected Component Process Model |

connected | Connected components |

connected.linnet | Connected Components of a Linear Network |

connected.lpp | Connected Components of a Point Pattern on a Linear Network |

connected.ppp | Connected Components of a Point Pattern |

contour.im | Contour plot of pixel image |

contour.imlist | Array of Contour Plots |

convexhull | Convex Hull |

convexhull.xy | Convex Hull of Points |

convexify | Weil's Convexifying Operation |

convolve.im | Convolution of Pixel Images |

coords | Extract or Change Coordinates of a Spatial or Spatiotemporal... |

corners | Corners of a rectangle |

covering | Cover Region with Discs |

crossdist | Pairwise distances |

crossdist.default | Pairwise distances between two different sets of points |

crossdist.lpp | Pairwise distances between two point patterns on a linear... |

crossdist.pp3 | Pairwise distances between two different three-dimensional... |

crossdist.ppp | Pairwise distances between two different point patterns |

crossdist.ppx | Pairwise Distances Between Two Different Multi-Dimensional... |

crossdist.psp | Pairwise distances between two different line segment... |

crossing.linnet | Crossing Points between Linear Network and Other Lines |

crossing.psp | Crossing Points of Two Line Segment Patterns |

cut.im | Convert Pixel Image from Numeric to Factor |

cut.lpp | Classify Points in a Point Pattern on a Network |

cut.ppp | Classify Points in a Point Pattern |

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... |

default.dummy | Generate a Default Pattern of Dummy Points |

default.expand | Default Expansion Rule for Simulation of Model |

default.rmhcontrol | Set Default Control Parameters for Metropolis-Hastings... |

delaunay | Delaunay Triangulation of Point Pattern |

delaunayDistance | Distance on Delaunay Triangulation |

delaunayNetwork | Linear Network of Delaunay Triangulation or Dirichlet... |

deletebranch | Delete or Extract a Branch of a Tree |

deltametric | Delta Metric |

density.lpp | Kernel Estimate of Intensity on a Linear Network |

density.ppp | Kernel Smoothed Intensity of Point Pattern |

density.psp | Kernel Smoothing of Line Segment Pattern or Linear Network |

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

deriv.fv | Calculate Derivative of Function Values |

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

dfbetas.ppm | Parameter influence measure |

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 |

diameter | Diameter of an Object |

diameter.box3 | Geometrical Calculations for Three-Dimensional Box |

diameter.boxx | Geometrical Calculations for Multi-Dimensional Box |

diameter.linnet | Diameter and Bounding Radius of a Linear Network |

diameter.owin | Diameter of a Window |

DiggleGatesStibbard | Diggle-Gates-Stibbard Point Process Model |

DiggleGratton | Diggle-Gratton model |

dilated.areas | Areas of Morphological Dilations |

dilation | Morphological Dilation |

dim.detpointprocfamily | Dimension of Determinantal Point Process Model |

dimhat | Estimate Dimension of Central Subspace |

dirichlet | Dirichlet Tessellation of Point Pattern |

dirichletAreas | Compute Areas of Tiles in Dirichlet Tessellation |

dirichletVertices | Vertices and Edges of Dirichlet Tessellation |

dirichletWeights | Compute Quadrature Weights Based on Dirichlet Tessellation |

disc | Circular Window |

discpartarea | Area of Part of Disc |

discretise | Safely Convert Point Pattern Window to Binary Mask |

discs | Union of Discs |

distcdf | Distribution Function of Interpoint Distance |

distfun | Distance Map as a Function |

distfun.lpp | Distance Map on Linear Network |

distmap | Distance Map |

distmap.owin | Distance Map of Window |

distmap.ppp | Distance Map of Point Pattern |

distmap.psp | Distance Map of Line Segment Pattern |

divide.linnet | Divide Linear Network at Cut Points |

dkernel | Kernel distributions and random generation |

dmixpois | Mixed Poisson Distribution |

domain | 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 |

duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern |

edge.Ripley | Ripley's Isotropic Edge Correction |

edges | Extract Boundary Edges of a Window. |

edges2triangles | List Triangles in a Graph |

edges2vees | List Dihedral Triples in a Graph |

edge.Trans | Translation Edge Correction |

edit.hyperframe | Invoke Text Editor on Hyperframe |

edit.ppp | Invoke Text Editor on Spatial Data |

eem | Exponential Energy Marks |

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

ellipse | Elliptical Window. |

Emark | Diagnostics for random marking |

emend | Force Model to be Valid |

emend.ppm | Force Point Process Model to be Valid |

endpoints.psp | Endpoints of Line Segment Pattern |

envelope | Simulation Envelopes of Summary Function |

envelopeArray | Array of Simulation Envelopes of Summary Function |

envelope.envelope | Recompute Envelopes |

envelope.lpp | Envelope for Point Patterns on Linear Network |

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

eroded.areas | Areas of Morphological Erosions |

erosion | Morphological Erosion by a Disc |

erosionAny | Morphological Erosion of Windows |

eval.fasp | Evaluate Expression Involving Function Arrays |

eval.fv | Evaluate Expression Involving Functions |

eval.im | Evaluate Expression Involving Pixel Images |

eval.linim | Evaluate Expression Involving Pixel Images on Linear Network |

ewcdf | Weighted Empirical Cumulative Distribution Function |

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

expand.owin | Apply Expansion Rule |

Extract.anylist | Extract or Replace Subset of a List of Things |

Extract.fasp | Extract Subset of Function Array |

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

Extract.hyperframe | Extract or Replace Subset of Hyperframe |

Extract.im | Extract Subset of Image |

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

Extract.layered | Extract or Replace Subset of a Layered Object |

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

Extract.linim | Extract Subset of Pixel Image on Linear Network |

Extract.linnet | Extract Subset of Linear Network |

Extract.listof | Extract or Replace Subset of a List of Things |

Extract.lpp | Extract Subset of Point Pattern on Linear Network |

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

Extract.owin | Extract Subset of Window |

Extract.ppp | Extract or Replace Subset of Point Pattern |

Extract.ppx | Extract Subset of Multidimensional Point Pattern |

Extract.psp | Extract Subset of Line Segment Pattern |

Extract.quad | Subset of Quadrature Scheme |

Extract.solist | Extract or Replace Subset of a List of Spatial Objects |

Extract.splitppp | Extract or Replace Sub-Patterns |

Extract.ssf | Subset of spatially sampled function |

Extract.tess | Extract or Replace Subset of Tessellation |

F3est | Empty Space Function of a Three-Dimensional Point Pattern |

fardist | Farthest Distance to Boundary of Window |

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.lppm | Fitted Intensity for Point Process on Linear Network |

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 |

flipxy | Exchange X and Y Coordinates |

FmultiInhom | Inhomogeneous Marked F-Function |

foo | Foo is Not a Real Name |

formula.fv | Extract or Change the Plot Formula for a Function Value Table |

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

fourierbasis | Fourier Basis Functions |

Frame | Extract or Change the Containing Rectangle of a Spatial... |

fryplot | Fry Plot of Point Pattern |

funxy | Spatial Function Class |

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... |

gauss.hermite | Gauss-Hermite Quadrature Approximation to Expectation for... |

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 |

gridcentres | Rectangular grid of points |

gridweights | Compute Quadrature Weights Based on Grid Counts |

grow.boxx | Add margins to box in any dimension |

grow.rectangle | Add margins to rectangle |

Hardcore | The Hard Core Point Process Model |

harmonic | Basis for Harmonic Functions |

harmonise | Make Objects Compatible |

harmonise.fv | Make Function Tables Compatible |

harmonise.im | Make Pixel Images Compatible |

harmonise.msr | Make Measures Compatible |

harmonise.owin | Make Windows Compatible |

has.close | Check Whether Points Have Close Neighbours |

headtail | First or Last Part of a Spatial Pattern |

Hest | Spherical Contact Distribution Function |

hextess | Hexagonal Grid or Tessellation |

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 |

hist.funxy | Histogram of Values of a Spatial Function |

hist.im | Histogram of Pixel Values in an Image |

hopskel | Hopkins-Skellam Test |

Hybrid | Hybrid Interaction Point Process Model |

hybrid.family | Hybrid Interaction Family |

hyperframe | Hyper Data Frame |

identify.ppp | Identify Points in a Point Pattern |

identify.psp | Identify Segments in a Line Segment Pattern |

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

Iest | Estimate the I-function |

im | Create a Pixel Image Object |

im.apply | Apply Function Pixelwise to List of Images |

imcov | Spatial Covariance of a Pixel Image |

im.object | Class of Images |

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

incircle | Find Largest Circle Inside Window |

increment.fv | Increments of a Function |

infline | Infinite Straight Lines |

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

inforder.family | Infinite Order Interaction Family |

insertVertices | Insert New Vertices in a Linear Network |

inside.boxx | Test Whether Points Are Inside A Multidimensional Box |

inside.owin | Test Whether Points Are Inside A Window |

integral.im | Integral of a Pixel Image |

integral.linim | Integral on a Linear Network |

integral.msr | Integral of a Measure |

intensity | Intensity of a Dataset or a Model |

intensity.dppm | Intensity of Determinantal Point Process Model |

intensity.lpp | Empirical Intensity of Point Pattern on Linear Network |

intensity.ppm | Intensity of Fitted Point Process Model |

intensity.ppp | Empirical Intensity of Point Pattern |

intensity.ppx | Intensity of a Multidimensional Space-Time Point Pattern |

intensity.psp | Empirical Intensity of Line Segment Pattern |

intensity.quadratcount | Intensity Estimates Using Quadrat Counts |

interp.colourmap | Interpolate smoothly between specified colours |

interp.im | Interpolate a Pixel Image |

intersect.owin | Intersection, Union or Set Subtraction of Windows |

intersect.tess | Intersection of Two Tessellations |

invoke.symbolmap | Plot Data Using Graphics Symbol Map |

iplot | Point and Click Interface for Displaying Spatial Data |

ippm | Fit Point Process Model Involving Irregular Trend Parameters |

is.connected | Determine Whether an Object is Connected |

is.connected.ppp | Determine Whether a Point Pattern is Connected |

is.convex | Test Whether a Window is Convex |

is.dppm | Recognise Fitted Determinantal Point Process Models |

is.empty | Test Whether An Object Is Empty |

is.hybrid | Test Whether Object is a Hybrid |

is.im | Test Whether An Object Is A Pixel Image |

is.lpp | Test Whether An Object Is A Point Pattern on a Linear Network |

is.marked | Test Whether Marks Are Present |

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

is.marked.ppp | Test Whether A Point Pattern is Marked |

is.multitype | Test whether Object is Multitype |

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

is.multitype.ppp | Test Whether A Point Pattern is Multitype |

is.owin | Test Whether An Object Is A Window |

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

is.ppp | Test Whether An Object Is A Point Pattern |

is.rectangle | Determine Type of Window |

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

is.subset.owin | Determine Whether One Window is Contained In Another |

istat | Point and Click Interface for Exploratory Analysis of Point... |

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 |

latest.news | Print News About Latest Version of Package |

layered | Create List of Plotting Layers |

layerplotargs | Extract or Replace the Plot Arguments of a Layered Object |

layout.boxes | Generate a Row or Column Arrangement of Rectangles. |

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 |

lengths.psp | Lengths of Line Segments |

LennardJones | The Lennard-Jones Potential |

Lest | L-function |

levelset | Level Set of a Pixel Image |

leverage.ppm | Leverage Measure for Spatial Point Process Model |

lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast |

lgcp.estpcf | Fit a Log-Gaussian Cox Point Process by Minimum Contrast |

lineardirichlet | Dirichlet Tessellation on a Linear Network |

lineardisc | Compute Disc of Given Radius in Linear Network |

linearK | Linear K Function |

linearKcross | Multitype K Function (Cross-type) for Linear Point Pattern |

linearKcross.inhom | Inhomogeneous multitype K Function (Cross-type) for Linear... |

linearKdot | Multitype K Function (Dot-type) for Linear Point Pattern |

linearKdot.inhom | Inhomogeneous multitype K Function (Dot-type) for Linear... |

linearKinhom | Inhomogeneous Linear K Function |

linearmarkconnect | Mark Connection Function for Multitype Point Pattern on... |

linearmarkequal | Mark Connection Function for Multitype Point Pattern on... |

linearpcf | Linear Pair Correlation Function |

linearpcfcross | Multitype Pair Correlation Function (Cross-type) for Linear... |

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

linearpcfdot | Multitype Pair Correlation Function (Dot-type) for Linear... |

linearpcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Dot-type)... |

linearpcfinhom | Inhomogeneous Linear Pair Correlation Function |

linequad | Quadrature Scheme on a Linear Network |

linfun | Function on a Linear Network |

Linhom | L-function |

linim | Create Pixel Image on Linear Network |

linnet | Create a Linear Network |

lintess | Tessellation on a Linear Network |

lixellate | Subdivide Segments of a Network |

localK | Neighbourhood density function |

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 |

lpp | Create Point Pattern on Linear Network |

lppm | Fit Point Process Model to Point Pattern on Linear Network |

lurking | Lurking variable plot |

lut | Lookup Tables |

markconnect | Mark Connection Function |

markcorr | Mark Correlation Function |

markcrosscorr | Mark Cross-Correlation Function |

marks | Marks of a Point Pattern |

marks.psp | Marks of a Line Segment Pattern |

markstat | Summarise Marks in Every Neighbourhood in a Point Pattern |

marks.tess | Marks of a Tessellation |

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

markvario | Mark Variogram |

matchingdist | Distance for a Point Pattern Matching |

matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast |

matclust.estpcf | Fit the Matern Cluster Point Process by Minimum Contrast... |

Math.im | S3 Group Generic methods for images |

Math.imlist | S3 Group Generic methods for List of Images |

Math.linim | S3 Group Generic Methods for Images on a Linear Network |

matrixpower | Power of a Matrix |

maxnndist | Compute Minimum or Maximum Nearest-Neighbour Distance |

mean.im | Mean and Median of Pixel Values in an Image |

mean.linim | Mean, Median, Quantiles of Pixel Values on a Linear Network |

measureVariation | Positive and Negative Parts, and Variation, of a Measure |

mergeLevels | Merge Levels of a Factor |

methods.box3 | Methods for Three-Dimensional Box |

methods.boxx | Methods for Multi-Dimensional Box |

methods.dppm | Methods for Determinantal Point Process Models |

methods.fii | Methods for Fitted Interactions |

methods.funxy | Methods for Spatial Functions |

methods.kppm | Methods for Cluster Point Process Models |

methods.layered | Methods for Layered Objects |

methods.linfun | Methods for Functions on Linear Network |

methods.linim | Methods for Images on a Linear Network |

methods.linnet | Methods for Linear Networks |

methods.lpp | Methods for Point Patterns on a Linear Network |

methods.lppm | Methods for Fitted Point Process Models on a Linear Network |

methods.objsurf | Methods for Objective Function Surfaces |

methods.pp3 | Methods for three-dimensional point patterns |

methods.ppx | Methods for Multidimensional Space-Time Point Patterns |

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.unitname | Methods for Units |

methods.zclustermodel | Methods for Cluster Models |

midpoints.psp | Midpoints of Line Segment Pattern |

mincontrast | Method of Minimum Contrast |

MinkowskiSum | Minkowski Sum of Windows |

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.ppm | Extract Design Matrix from Point Process Model |

model.matrix.slrm | Extract Design Matrix from Spatial Logistic Regression Model |

moribund | Outdated Functions |

mppm | Fit Point Process Model to Several Point Patterns |

msr | Signed or Vector-Valued Measure |

MultiHard | The Multitype Hard Core Point Process Model |

multiplicity.ppp | Count Multiplicity of Duplicate Points |

MultiStrauss | The Multitype Strauss Point Process Model |

MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model |

nearest.raster.point | Find Pixel Nearest to a Given Point |

nearestsegment | Find Line Segment Nearest to Each Point |

nestsplit | Nested Split |

nnclean | Nearest Neighbour Clutter Removal |

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

nncross | Nearest Neighbours Between Two Patterns |

nncross.lpp | Nearest Neighbours on a Linear Network |

nncross.pp3 | Nearest Neighbours Between Two Patterns in 3D |

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

nndist | Nearest neighbour distances |

nndist.lpp | Nearest neighbour distances on a linear network |

nndist.pp3 | Nearest neighbour distances in three dimensions |

nndist.ppx | Nearest Neighbour Distances in Any Dimensions |

nndist.psp | Nearest neighbour distances between line segments |

nnfromvertex | Nearest Data Point From Each Vertex in a Network |

nnfun | Nearest Neighbour Index Map as a Function |

nnfun.lpp | Nearest Neighbour Map on Linear Network |

nnmap | K-th Nearest Point Map |

nnmark | Mark of Nearest Neighbour |

nnorient | Nearest Neighbour Orientation Distribution |

nnwhich | Nearest neighbour |

nnwhich.lpp | Identify Nearest Neighbours on a Linear Network |

nnwhich.pp3 | Nearest neighbours in three dimensions |

nnwhich.ppx | Nearest Neighbours in Any Dimensions |

nobjects | Count Number of Geometrical Objects in a Spatial Dataset |

npfun | Dummy Function Returns Number of Points |

npoints | Number of Points in a Point Pattern |

nsegments | Number of Line Segments in a Line Segment Pattern |

nvertices | Count Number of Vertices |

objsurf | Objective Function Surface |

opening | Morphological Opening |

Ops.msr | Arithmetic Operations on Measures |

Ord | Generic Ord Interaction model |

ord.family | Ord Interaction Process Family |

OrdThresh | Ord's Interaction model |

overlap.owin | Compute Area of Overlap |

owin | Create a Window |

owin.object | Class owin |

padimage | Pad the Border of a Pixel Image |

pairdist | Pairwise distances |

pairdist.default | Pairwise distances |

pairdist.lpp | Pairwise shortest-path distances between points on a linear... |

pairdist.pp3 | Pairwise distances in Three Dimensions |

pairdist.ppp | Pairwise distances |

pairdist.ppx | Pairwise Distances in Any Dimensions |

pairdist.psp | Pairwise distances between line segments |

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 |

pairs.linim | Scatterplot Matrix for Pixel Images on a Linear Network |

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 |

perimeter | Perimeter Length of Window |

periodify | Make Periodic Copies of a Spatial Pattern |

persp.im | Perspective Plot of Pixel Image |

perspPoints | Draw Points or Lines on a Surface Viewed in Perspective |

pixelcentres | Extract Pixel Centres as Point Pattern |

pixellate | Convert Spatial Object to Pixel Image |

pixellate.owin | Convert Window to Pixel Image |

pixellate.ppp | Convert Point Pattern to Pixel Image |

pixellate.psp | Convert Line Segment Pattern to Pixel Image |

pixelquad | Quadrature Scheme Based on Pixel Grid |

plot.anylist | Plot a List of Things |

plot.bermantest | Plot Result of Berman Test |

plot.cdftest | Plot a Spatial Distribution Test |

plot.colourmap | Plot a Colour Map |

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.hyperframe | Plot Entries in a Hyperframe |

plot.im | Plot a Pixel Image |

plot.imlist | Plot a List of Images |

plot.influence.ppm | Plot Influence Measure |

plot.kppm | Plot a fitted cluster point process |

plot.laslett | Plot Laslett Transform |

plot.layered | Layered Plot |

plot.leverage.ppm | Plot Leverage Function |

plot.linim | Plot Pixel Image on Linear Network |

plot.linnet | Plot a linear network |

plot.lintess | Plot a Tessellation on a Linear Network |

plot.listof | Plot a List of Things |

plot.lpp | Plot Point Pattern on Linear Network |

plot.lppm | Plot a Fitted Point Process Model on a Linear Network |

plot.mppm | plot a Fitted Multiple Point Process Model |

plot.msr | Plot a Signed or Vector-Valued Measure |

plot.onearrow | Plot an Arrow |

plot.owin | Plot a Spatial Window |

plot.plotppm | Plot a plotppm Object Created by plot.ppm |

plot.pp3 | Plot a Three-Dimensional Point Pattern |

plot.ppm | plot a Fitted Point Process Model |

plot.ppp | plot a Spatial Point Pattern |

plot.psp | plot a Spatial Line Segment Pattern |

plot.quad | Plot a Spatial Quadrature Scheme |

plot.quadratcount | Plot Quadrat Counts |

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.solist | Plot a List of Spatial Objects |

plot.splitppp | Plot a List of Point Patterns |

plot.ssf | Plot a Spatially Sampled Function |

plot.symbolmap | Plot a Graphics Symbol Map |

plot.tess | Plot a tessellation |

plot.textstring | Plot a Text String |

plot.texturemap | Plot a Texture Map |

plot.yardstick | Plot a Yardstick or Scale Bar |

points.lpp | Draw Points on Existing Plot |

pointsOnLines | Place Points Evenly Along Specified Lines |

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 |

pp3 | Three Dimensional Point Pattern |

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 |

ppp | Create a Point Pattern |

pppdist | Distance Between Two Point Patterns |

pppmatching | Create a Point Matching |

pppmatching.object | Class of Point Matchings |

ppp.object | Class of Point Patterns |

PPversion | Transform a Function into its P-P or Q-Q Version |

ppx | Multidimensional Space-Time Point Pattern |

predict.dppm | Prediction from a Fitted Determinantal Point Process Model |

predict.kppm | Prediction from a Fitted Cluster Point Process Model |

predict.lppm | Predict Point Process Model on Linear Network |

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.im | Print Brief Details of an Image |

print.owin | Print Brief Details of a Spatial Window |

print.ppm | Print a Fitted Point Process Model |

print.ppp | Print Brief Details of a Point Pattern Dataset |

print.psp | Print Brief Details of a Line Segment Pattern Dataset |

print.quad | Print a Quadrature Scheme |

profilepl | Fit Models by Profile Maximum Pseudolikelihood or AIC |

progressreport | Print Progress Reports |

project2segment | Move Point To Nearest Line |

project2set | Find Nearest Point in a Region |

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 |

psp | Create a Line Segment Pattern |

psp.object | Class of Line Segment Patterns |

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.object | Class of Quadrature Schemes |

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

quadratcount | Quadrat counting for a point pattern |

quadratresample | Resample a Point Pattern by Resampling Quadrats |

quadrats | Divide Region into Quadrats |

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... |

quadscheme | Generate a Quadrature Scheme from a Point Pattern |

quadscheme.logi | Generate a Logistic Regression Quadrature Scheme from a Point... |

quantess | Quantile Tessellation |

quantile.density | Quantiles of a Density Estimate |

quantile.ewcdf | Quantiles of Weighted Empirical Cumulative Distribution... |

quantile.im | Sample Quantiles of Pixel Image |

quasirandom | Quasirandom Patterns |

rags | Alternating Gibbs Sampler for Multitype Point Processes |

ragsAreaInter | Alternating Gibbs Sampler for Area-Interaction Process |

ragsMultiHard | Alternating Gibbs Sampler for Multitype Hard Core Process |

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

range.fv | Range of Function Values |

raster.x | Cartesian Coordinates for a Pixel Raster |

rat | Ratio object |

rCauchy | Simulate Neyman-Scott Point Process with Cauchy cluster... |

rcell | Simulate Baddeley-Silverman Cell Process |

rcellnumber | Generate Random Numbers of Points for Cell Process |

rDGS | Perfect Simulation of the Diggle-Gates-Stibbard Process |

rDiggleGratton | Perfect Simulation of the Diggle-Gratton Process |

rdpp | Simulation of a Determinantal Point Process |

reach | Interaction Distance of a Point Process |

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

reduced.sample | Reduced Sample Estimator using Histogram Data |

reflect | Reflect In Origin |

regularpolygon | Create A Regular Polygon |

relevel.im | Reorder Levels of a Factor-Valued Image or Pattern |

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 |

Replace.im | Reset Values in Subset of Image |

Replace.linim | Reset Values in Subset of Image on Linear Network |

requireversion | Require a Specific Version of a Package |

rescale | Convert dataset to another unit of length |

rescale.im | Convert Pixel Image to Another Unit of Length |

rescale.owin | Convert Window to Another Unit of Length |

rescale.ppp | Convert Point Pattern to Another Unit of Length |

rescale.psp | Convert Line Segment Pattern to Another Unit of Length |

rescue.rectangle | Convert Window Back To Rectangle |

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 |

rex | Richardson Extrapolation |

rGaussPoisson | Simulate Gauss-Poisson Process |

rgbim | Create Colour-Valued Pixel Image |

rHardcore | Perfect Simulation of the Hardcore Process |

rho2hat | Smoothed Relative Density of Pairs of Covariate Values |

rhohat | Smoothing Estimate of Intensity as Function of a Covariate |

ripras | Estimate window from points alone |

rjitter | Random Perturbation of a Point Pattern |

rknn | Theoretical Distribution of Nearest Neighbour Distance |

rlabel | Random Re-Labelling of Point Pattern |

rLGCP | Simulate Log-Gaussian Cox Process |

rlinegrid | Generate grid of parallel lines with random displacement |

rlpp | Random Points on a Linear Network |

rMatClust | Simulate Matern Cluster Process |

rMaternI | Simulate Matern Model I |

rMaternII | Simulate Matern Model II |

rmh | Simulate point patterns using the Metropolis-Hastings... |

rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. |

rmh.default | Simulate Point Process Models using the Metropolis-Hastings... |

rmhexpand | Specify Simulation Window or Expansion Rule |

rmhmodel | Define Point Process Model for Metropolis-Hastings... |

rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. |

rmhmodel.list | Define Point Process Model for Metropolis-Hastings... |

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

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

rmhstart | Determine Initial State for Metropolis-Hastings Simulation. |

rMosaicField | Mosaic Random Field |

rMosaicSet | Mosaic Random Set |

rmpoint | Generate N Random Multitype Points |

rmpoispp | Generate Multitype Poisson Point Pattern |

rNeymanScott | Simulate Neyman-Scott Process |

rnoise | Random Pixel Noise |

roc | Receiver Operating Characteristic |

rose | Rose Diagram |

rotate | Rotate |

rotate.im | Rotate a Pixel Image |

rotate.infline | Rotate or Shift Infinite Lines |

rotate.owin | Rotate a Window |

rotate.ppp | Rotate a Point Pattern |

rotate.psp | Rotate a Line Segment Pattern |

rotmean | Rotational Average of a Pixel Image |

rounding | Detect Numerical Rounding |

round.ppp | Apply Numerical Rounding to Spatial Coordinates |

rPenttinen | Perfect Simulation of the Penttinen Process |

rpoint | Generate N Random Points |

rpoisline | Generate Poisson Random Line Process |

rpoislinetess | Poisson Line Tessellation |

rpoislpp | Poisson Point Process on a Linear Network |

rpoispp | Generate Poisson Point Pattern |

rpoispp3 | Generate Poisson Point Pattern in Three Dimensions |

rpoisppOnLines | Generate Poisson Point Pattern on Line Segments |

rpoisppx | Generate Poisson Point Pattern in Any Dimensions |

rPoissonCluster | Simulate Poisson Cluster Process |

rppm | Recursively Partitioned Point Process Model |

rQuasi | Generate Quasirandom Point Pattern in Given Window |

rshift | Random Shift |

rshift.ppp | Randomly Shift a Point Pattern |

rshift.psp | Randomly Shift a Line Segment Pattern |

rshift.splitppp | Randomly Shift a List of Point Patterns |

rSSI | Simulate Simple Sequential Inhibition |

rstrat | Simulate Stratified Random Point Pattern |

rStrauss | Perfect Simulation of the Strauss Process |

rStraussHard | Perfect Simulation of the Strauss-Hardcore Process |

rsyst | Simulate systematic random point pattern |

rtemper | Simulated Annealing or Simulated Tempering for Gibbs Point... |

rthin | Random Thinning |

rThomas | Simulate Thomas Process |

runifdisc | Generate N Uniform Random Points in a Disc |

runiflpp | Uniform Random Points on a Linear Network |

runifpoint | Generate N Uniform Random Points |

runifpoint3 | Generate N Uniform Random Points in Three Dimensions |

runifpointOnLines | Generate N Uniform Random Points On Line Segments |

runifpointx | Generate N Uniform Random Points in Any Dimensions |

run.simplepanel | Run Point-and-Click Interface |

rVarGamma | Simulate Neyman-Scott Point Process with Variance Gamma... |

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

Saturated | Saturated Pairwise Interaction model |

scalardilate | Apply Scalar Dilation |

scaletointerval | Rescale Data to Lie Between Specified Limits |

scanLRTS | Likelihood Ratio Test Statistic for Scan Test |

scanpp | Read Point Pattern From Data File |

scan.test | Spatial Scan Test |

sdr | Sufficient Dimension Reduction |

sdrPredict | Compute Predictors from Sufficient Dimension Reduction |

segregation.test | Test of Spatial Segregation of Types |

selfcrossing.psp | Crossing Points in a Line Segment Pattern |

selfcut.psp | Cut Line Segments Where They Intersect |

sessionLibs | Print Names and Version Numbers of Libraries Loaded |

setcov | Set Covariance of a Window |

sharpen | Data Sharpening of Point Pattern |

shift | Apply Vector Translation |

shift.im | Apply Vector Translation To Pixel Image |

shift.owin | Apply Vector Translation To Window |

shift.ppp | Apply Vector Translation To Point Pattern |

shift.psp | Apply Vector Translation To Line Segment Pattern |

sidelengths.owin | Side Lengths of Enclosing Rectangle of a Window |

simplepanel | Simple Point-and-Click Interface Panels |

simplify.owin | Approximate a Polygon by a Simpler Polygon |

simulate.dppm | Simulation of Determinantal Point Process Model |

simulate.kppm | Simulate a Fitted Cluster Point Process Model |

simulate.lppm | Simulate a Fitted Point Process Model on a Linear Network |

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 |

solapply | Apply a Function Over a List and Obtain a List of Objects |

solist | List of Two-Dimensional Spatial Objects |

solutionset | Evaluate Logical Expression Involving Pixel Images and Return... |

spatdim | Spatial Dimension of a Dataset |

spatialcdf | Spatial Cumulative Distribution Function |

spatstat-deprecated | Deprecated spatstat functions |

spatstat-internal | Internal spatstat functions |

spatstat.options | Internal Options in Spatstat Package |

spatstat-package | The Spatstat Package |

split.hyperframe | Divide Hyperframe Into Subsets and Reassemble |

split.im | Divide Image Into Sub-images |

split.msr | Divide a Measure into Parts |

split.ppp | Divide Point Pattern into Sub-patterns |

split.ppx | Divide Multidimensional Point Pattern into Sub-patterns |

spokes | Spokes pattern of dummy points |

square | Square Window |

ssf | Spatially Sampled Function |

stieltjes | Compute Integral of Function Against Cumulative Distribution |

stienen | Stienen Diagram |

stratrand | Stratified random point pattern |

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 |

subset.hyperframe | Subset of Hyperframe Satisfying A Condition |

subset.ppp | Subset of Point Pattern Satisfying A Condition |

subspaceDistance | Distance Between Linear Spaces |

suffstat | Sufficient Statistic of Point Process Model |

summary.anylist | Summary of a List of Things |

summary.im | Summarizing a Pixel Image |

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

summary.listof | Summary of a List of Things |

summary.owin | Summary of a Spatial Window |

summary.ppm | Summarizing a Fitted Point Process Model |

summary.ppp | Summary of a Point Pattern Dataset |

summary.psp | Summary of a Line Segment Pattern Dataset |

summary.quad | Summarizing a Quadrature Scheme |

summary.solist | Summary of a List of Spatial Objects |

summary.splitppp | Summary of a Split Point Pattern |

sumouter | Compute Quadratic Forms |

superimpose | Superimpose Several Geometric Patterns |

superimpose.lpp | Superimpose Several Point Patterns on Linear Network |

symbolmap | Graphics Symbol Map |

tess | Create a Tessellation |

text.ppp | Add Text Labels to Spatial Pattern |

texturemap | Texture Map |

textureplot | Plot Image or Tessellation Using Texture Fill |

thinNetwork | Remove Vertices or Segments from a Linear Network |

thomas.estK | Fit the Thomas Point Process by Minimum Contrast |

thomas.estpcf | Fit the Thomas Point Process by Minimum Contrast |

tile.areas | Compute Areas of Tiles in a Tessellation |

tileindex | Determine Which Tile Contains Each Given Point |

tile.lengths | Compute Lengths of Tiles in a Tessellation on a Network |

tilenames | Names of Tiles in a Tessellation |

tiles | Extract List of Tiles in a Tessellation |

tiles.empty | Check For Empty Tiles in a Tessellation |

timed | Record the Computation Time |

timeTaken | Extract the Total Computation Time |

transect.im | Pixel Values Along a Transect |

transmat | Convert Pixel Array Between Different Conventions |

treebranchlabels | Label Vertices of a Tree by Branch Membership |

treeprune | Prune Tree to Given Level |

triangulate.owin | Decompose Window into Triangles |

trim.rectangle | Cut margins from rectangle |

triplet.family | Triplet Interaction Family |

Triplets | The Triplet Point Process Model |

Tstat | Third order summary statistic |

tweak.colourmap | Change Colour Values in a Colour Map |

union.quad | Union of Data and Dummy Points |

unique.ppp | Extract Unique Points from a Spatial Point Pattern |

unitname | Name for Unit of Length |

unmark | Remove Marks |

unnormdensity | Weighted kernel smoother |

unstack.msr | Separate a Vector Measure into its Scalar Components |

unstack.ppp | Separate Multiple Columns of Marks |

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.rmhcontrol | Update Control Parameters of Metropolis-Hastings Algorithm |

update.symbolmap | Update a Graphics Symbol Map. |

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 |

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... |

vertices | Vertices of a Window |

volume | Volume of an Object |

weighted.median | Weighted Median, Quantiles or Variance |

where.max | Find Location of Maximum in a Pixel Image |

whichhalfplane | Test Which Side of Infinite Line a Point Falls On |

whist | Weighted Histogram |

will.expand | Test Expansion Rule |

Window | Extract or Change the Window of a Spatial Object |

WindowOnly | Extract Window of Spatial Object |

with.fv | Evaluate an Expression in a Function Table |

with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe |

with.msr | Evaluate Expression Involving Components of a Measure |

with.ssf | Evaluate Expression in a Spatially Sampled Function |

yardstick | Text, Arrow or Scale Bar in a Diagram |

zapsmall.im | Rounding of Pixel Values |

zclustermodel | Cluster Point Process Model |

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