# spatstat v1.17-4

Monthly downloads

## Spatial Point Pattern analysis, model-fitting, simulation, tests

A package for analysing spatial data, mainly Spatial Point
Patterns, including multitype/marked points and spatial
covariates, in any two-dimensional spatial region. Also
supports three-dimensional point patterns. Contains functions
for plotting spatial data, exploratory data analysis,
model-fitting, simulation, spatial sampling, model diagnostics,
and formal inference. Data types include point patterns, line
segment patterns, spatial windows, pixel images and
tessellations. Point process models can be fitted to point
pattern data. Cluster type models are fitted by the method of
minimum contrast. Very general Gibbs point process models can
be fitted to point pattern data using a function ppm similar to
lm or glm. Models may include dependence on covariates,
interpoint interaction and dependence on marks. Fitted models
can be simulated automatically. Also provides facilities for
formal inference (such as chi-squared tests) and model
diagnostics (including simulation envelopes, residuals,
residual plots and Q-Q plots).

## Functions in spatstat

Name | Description | |

AreaInter | The Area Interaction Point Process Model | |

Emark | Diagnostics for random marking | |

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

Extract.fv | Extract Subset of Function Values | |

Extract.fasp | Extract Subset of Function Array | |

Extract.im | Extract Subset of Image | |

Kcross.inhom | Inhomogeneous Cross K Function | |

DiggleGratton | Diggle-Gratton model | |

Extract.quad | Subset of Quadrature Scheme | |

bdist.pixels | Distance to Boundary of Window | |

Kdot | Multitype K Function (i-to-any) | |

Extract.psp | Extract Subset of Line Segment Pattern | |

alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |

Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |

angles.psp | Orientation Angles of Line Segments | |

Fest | Estimate the empty space function F | |

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

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

Kdot.inhom | Inhomogeneous Multitype K Dot Function | |

clarkevans | Clark and Evans Aggregation Index | |

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

as.im | Convert to Pixel Image | |

ants | Harkness-Isham ants' nests data | |

affine.ppp | Apply Affine Transformation To Point Pattern | |

concatxy | Concatenate x,y Coordinate Vectors | |

affine.owin | Apply Affine Transformation To Window | |

Extract.splitppp | Extract or Replace Sub-Patterns | |

StraussHard | The Strauss / Hard Core Point Process Model | |

anova.ppm | ANOVA for Fitted Point Process Models | |

closing | Morphological Closing | |

Ldot.inhom | Inhomogeneous Multitype L Dot Function | |

Jmulti | Marked J Function | |

as.rectangle | Window Frame | |

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

Kcross | Multitype K Function (Cross-type) | |

bramblecanes | Hutchings' Bramble Canes data | |

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

area.owin | Area of a Window | |

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

compatible.im | Test Whether Two Pixel Images Are Compatible | |

Jest | Estimate the J-function | |

Softcore | The Soft Core Point Process Model | |

LennardJones | The Lennard-Jones Potential | |

clickpoly | Interactively Define a Polygon | |

OrdThresh | Ord's Interaction model | |

bounding.box | Bounding Box of a Window or Point Pattern | |

connected | Connected components of an image or window | |

Geyer | Geyer's Saturation Point Process Model | |

discpartarea | Area of Part of Disc | |

Lest | L-function | |

K3est | K-function of a Three-Dimensional Point Pattern | |

BadGey | Hybrid Geyer Point Process Model | |

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

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

G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |

MultiStrauss | The Multitype Strauss Point Process Model | |

Gest | Nearest Neighbour Distance Function G | |

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

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

amacrine | Hughes' Amacrine Cell Data | |

Gmulti | Marked Nearest Neighbour Distance Function | |

Linhom | L-function | |

SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |

Lcross.inhom | Inhomogeneous Cross Type L Function | |

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

areaLoss | Difference of Disc Areas | |

box3 | Three-Dimensional Box | |

Iest | Estimate the I-function | |

Saturated | Saturated Pairwise Interaction model | |

Ord | Generic Ord Interaction model | |

as.mask | Pixel Image Approximation of a Window | |

as.owin | Convert Data To Class owin | |

diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |

Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |

gridweights | Compute Quadrature Weights Based on Grid Counts | |

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

hamster | Aherne's hamster tumour data | |

Kmulti | Marked K-Function | |

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

anemones | Beadlet Anemones Data | |

Kinhom | Inhomogeneous K-function | |

affine | Apply Affine Transformation | |

as.tess | Convert Data To Tessellation | |

convexhull.xy | Convex Hull of Points | |

deltametric | Delta Metric | |

Hest | Spherical Contact Distribution Function | |

Extract.tess | Extract or Replace Subset of Tessellation | |

border | Border Region of a Window | |

cells | Biological Cells Point Pattern | |

areaGain | Difference of Disc Areas | |

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

Kmeasure | Reduced Second Moment Measure | |

bdist.tiles | Distance to Boundary of Window | |

dirichlet | Dirichlet Tessellation of Point Pattern | |

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

distmap.ppp | Distance Map of Point Pattern | |

Poisson | Poisson Point Process Model | |

bounding.box.xy | Convex Hull of Points | |

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

bdist.points | Distance to Boundary of Window | |

chorley | Chorley-Ribble Cancer Data | |

centroid.owin | Centroid of a window | |

erosion | Morphological Erosion | |

complement.owin | Take Complement of a Window | |

dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |

Lcross | Multitype L-function (cross-type) | |

Pairwise | Generic Pairwise Interaction model | |

spatstat-deprecated | Deprecated spatstat functions | |

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

Ldot | Multitype L-function (i-to-any) | |

Kest | K-function | |

dilated.areas | Areas of Morphological Dilations | |

coef.ppm | Coefficients of Fitted Point Process Model | |

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

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

eval.fasp | Evaluate Expression Involving Function Arrays | |

density.ppp | Kernel Smoothed Intensity of Point Pattern | |

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

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

fitted.ppm | Fitted Conditional Intensity for Point Process Model | |

ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |

is.convex | Test Whether a Window is Convex | |

corners | Corners of a rectangle | |

disc | Circular Window | |

envelope | Simulation envelopes of summary function | |

betacells | Beta Ganglion Cells in Cat Retina | |

fasp.object | Function Arrays for Spatial Patterns | |

as.hyperframe | Convert Data to Hyperframe | |

gpc2owin | Convert Polygonal Region into Different Format | |

Replace.im | Reset Values in Subset of Image | |

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

Kest.fft | K-function using FFT | |

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

finpines | Pine saplings in Finland. | |

distfun | Distance Map as a Function | |

append.psp | Combine Two Line Segment Patterns | |

coords | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern | |

midpoints.psp | Midpoints of Line Segment Pattern | |

interp.im | Interpolate a Pixel Image | |

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

lut | Lookup Tables | |

im.object | Class of Images | |

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

as.ppp | Convert Data To Class ppp | |

is.marked | Test Whether Marks Are Present | |

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

japanesepines | Japanese Pines Point Pattern | |

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

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

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

contour.im | Contour plot of pixel image | |

dilation | Morphological Dilation | |

lurking | Lurking variable plot | |

letterR | Window in Shape of Letter R | |

pixellate | Convert Spatial Object to Pixel Image | |

endpoints.psp | Endpoints of Line Segment Pattern | |

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

eroded.areas | Areas of Morphological Erosions | |

nndist | Nearest neighbour distances | |

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

markvario | Mark Variogram | |

persp.im | Perspective Plot of Pixel Image | |

opening | Morphological Opening | |

model.matrix.ppm | Extract Design Matrix from Point Process Model | |

rMosaicField | Mosaic Random Field | |

nnwhich | Nearest neighbour | |

blur | Apply Gaussian Blur to a Pixel Image | |

eval.fv | Evaluate Expression Involving Functions | |

Strauss | The Strauss Point Process Model | |

incircle | Find Largest Circle Inside Window | |

runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |

compatible.fv | Test Whether Two Function Objects Are Compatible | |

markcorr | Mark Correlation Function | |

colourmap | Colour Lookup Tables | |

fryplot | Fry Plot of Point Pattern | |

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

convexhull | Convex Hull | |

hyperframe | Hyper Data Frame | |

logLik.ppm | Log Likelihood for Poisson Point Process Model | |

as.psp | Convert Data To Class psp | |

effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |

spatstat-internal | Internal spatstat functions | |

psp.object | Class of Line Segment Patterns | |

inforder.family | Infinite Order Interaction Family | |

model.images | Compute Images of Constructed Covariates | |

cut.ppp | Classify Points in a Point Pattern | |

plot.hyperframe | Plot Entries in a Hyperframe | |

nndist.psp | Nearest neighbour distances between line segments | |

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

nncross | Nearest Neighbours Between Two Patterns | |

gridcentres | Rectangular grid of points | |

ewcdf | Weighted Empirical Cumulative Distribution Function | |

rotate.psp | Rotate a Line Segment Pattern | |

infline | Infinite Straight Lines | |

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

compatible.fasp | Test Whether Two Function Arrays Are Compatible | |

demopat | Artificial Data Point Pattern | |

crossdist | Pairwise distances | |

humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |

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

intersect.tess | Intersection of Two Tessellations | |

pairwise.family | Pairwise Interaction Process Family | |

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

data.ppm | Extract Original Data from a Fitted Point Process Model | |

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

eem | Exponential Energy Marks | |

distmap.owin | Distance Map of Window | |

im | Create a Pixel Image Object | |

methods.box3 | Methods for Three-Dimensional Box | |

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

lengths.psp | Lengths of Line Segments | |

reach | Interaction Distance of a Point Process | |

bermantest | Berman's Tests for Point Process Model | |

plot.colourmap | Plot a Colour Map | |

plot.pp3 | Plot a three-dimensional point pattern | |

clickppp | Interactively Add Points | |

bei | Tropical rain forest trees | |

pairdist | Pairwise distances | |

bronzefilter | Bronze gradient filter data | |

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

pcf.ppp | Pair Correlation Function of Point Pattern | |

nztrees | New Zealand Trees Point Pattern | |

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

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

quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |

owin.object | Class owin | |

delaunay | Delaunay Triangulation of Point Pattern | |

quad.object | Class of Quadrature Schemes | |

nbfires | Point Patterns of New Brunswick Forest Fires | |

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

lansing | Lansing Woods Point Pattern | |

nearestsegment | Find Line Segment Nearest to Each Point | |

is.empty | Test Whether An Object Is Empty | |

discretise | Safely Convert Point Pattern Window to Binary Mask | |

eval.im | Evaluate Expression Involving Pixel Images | |

diameter | Diameter of a Window | |

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

quadratresample | Resample a Point Pattern by Resampling Quadrats | |

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

ripras | Estimate window from points alone | |

rmpoispp | Generate Multitype Poisson Point Pattern | |

distmap | Distance Map | |

shift.im | Apply Vector Translation To Pixel Image | |

kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |

murchison | Murchison gold deposits | |

unitname | Name for Unit of Length | |

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

shapley | Galaxies in the Shapley Supercluster | |

plot.quad | plot a Spatial Quadrature Scheme | |

copper | Berman-Huntington points and lines data | |

ppm.object | Class of Fitted Point Process Models | |

pixellate.owin | Convert Window to Pixel Image | |

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

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

pointsOnLines | Place Points Evenly Along Specified Lines | |

heather | Diggle's Heather Data | |

reduced.sample | Reduced Sample Estimator using Histogram Data | |

markcorrint | Mark Correlation Integral | |

setmarks | Set or Reset the Marks in a Point Pattern | |

harmonic | Basis for Harmonic Functions | |

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

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

plot.fasp | Plot a Function Array | |

density.psp | Kernel Smoothing of Line Segment Pattern | |

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

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

plot.im | Plot a Pixel Image | |

union.quad | Union of Data and Dummy Points | |

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

localK | Neighbourhood density function | |

ord.family | Ord Interaction Process Family | |

rMaternII | Simulate Matern Model II | |

miplot | Morishita Index Plot | |

pppdist | Distance Between Two Point Patterns | |

plot.kppm | Plot a fitted cluster point process | |

mincontrast | Method of Minimum Contrast | |

plot.splitppp | Plot a List of Point Patterns | |

plot.owin | Plot a Spatial Window | |

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

pairdist.ppp | Pairwise distances | |

rotate | Rotate | |

print.im | Print Brief Details of an Image | |

rshift.ppp | Randomly Shift a Point Pattern | |

profilepl | Profile Maximum Pseudolikelihood | |

progressreport | Print Progress Reports | |

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

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

is.multitype | Test whether Object is Multitype | |

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

integral.im | Integral of a Pixel Image | |

pixellate.ppp | Convert Point Pattern to Pixel Image | |

pcf | Pair Correlation Function | |

pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |

plot.bermantest | Plot Result of Berman Test | |

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

shift.ppp | Apply Vector Translation To Point Pattern | |

iplot | Point and Click Interface for Displaying a Point Pattern | |

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

longleaf | Longleaf Pines Point Pattern | |

ppp.object | Class of Point Patterns | |

plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |

fv.object | Data Frames of Function Values | |

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

suffstat | Sufficient Statistic of Point Process Model | |

print.quad | Print a Quadrature Scheme | |

spatstat.options | Internal Options in Spatstat Package | |

levelset | Level Set of a Pixel Image | |

predict.ppm | Prediction from a Fitted Point Process Model | |

markconnect | Mark Connection Function | |

pp3 | Three Dimensional Point Pattern | |

pppmatching | Create a Point Matching | |

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

rSSI | Simulate Simple Sequential Inhibition | |

quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |

pairsat.family | Saturated Pairwise Interaction Point Process Family | |

identify.ppp | Identify Points in a Point Pattern | |

psp | Create a Line Segment Pattern | |

smooth.ppp | Spatial smoothing of observations at irregular points | |

vertices | Vertices of a Window | |

setcov | Set Covariance of a Window | |

summary.owin | Summary of a Spatial Window | |

quadratcount | Quadrat counting for a point pattern | |

quadscheme | Generate a Quadrature Scheme from a Point Pattern | |

kppm | Fit cluster point process model | |

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

urkiola | Urkiola Woods Point Pattern | |

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

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

plot.listof | Plot a List of Things | |

rThomas | Simulate Thomas Process | |

spruces | Spruces Point Pattern | |

superimposePSP | Superimpose Several Line Segment Patterns | |

residuals.ppm | Residuals for Fitted Point Process Model | |

unmark | Remove Marks | |

rMosaicSet | Mosaic Random Set | |

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

owin | Create a Window | |

pairdist.psp | Pairwise distances between line segments | |

distmap.psp | Distance Map of Line Segment Pattern | |

swedishpines | Swedish Pines Point Pattern | |

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

runifpointOnLines | Generate N Uniform Random Points On Line Segments | |

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

multiplicity.ppp | Count Multiplicity of Duplicate Points | |

pixelquad | Quadrature Scheme Based on Pixel Grid | |

expand.owin | Expand Window By Factor | |

plot.tess | Plot a tessellation | |

rlabel | Random Re-Labelling of Point Pattern | |

ppp | Create a Point Pattern | |

kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |

plot.psp | plot a Spatial Line Segment Pattern | |

rMaternI | Simulate Matern Model I | |

simdat | Simulated Point Pattern | |

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

ppx | Multidimensional Space-Time Point Pattern | |

ponderosa | Ponderosa Pine Tree Point Pattern | |

rpoisline | Generate Poisson Random Line Process | |

solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |

rpoislinetess | Poisson Line Tessellation | |

pcfinhom | Inhomogeneous Pair Correlation Function | |

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

perimeter | Perimeter Length of Window | |

rjitter | Random Perturbation of a Point Pattern | |

stieltjes | Compute Integral of Function Against Cumulative Distribution | |

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

rshift | Random Shift | |

superimpose | Superimpose Several Point Patterns | |

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

split.im | Divide Image Into Sub-images | |

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

matchingdist | Distance for a Point Pattern Matching | |

pppmatching.object | Class of Point Matchings | |

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

rNeymanScott | Simulate Neyman-Scott Process | |

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

plot.fv | Plot Function Values | |

raster.x | Cartesian Coordinates for a Pixel Raster | |

rotate.ppp | Rotate a Point Pattern | |

pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |

rStrauss | Perfect Simulation of the Strauss Process | |

print.ppm | Print a Fitted Point Process Model | |

rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |

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

redwood | California Redwoods Point Pattern (Ripley's Subset) | |

ppm | Fit Point Process Model to Data | |

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

rthin | Random Thinning | |

rescue.rectangle | Convert Window Back To Rectangle | |

rescale | Convert dataset to another unit of length | |

quantile.im | Sample Quantiles of Pixel Image | |

rlinegrid | Generate grid of parallel lines with random displacement | |

tess | Create a Tessellation | |

rGaussPoisson | Simulate Gauss-Poisson Process | |

summary.ppp | Summary of a Point Pattern Dataset | |

rcell | Simulate Baddeley-Silverman Cell Process | |

rsyst | Simulate systematic random point pattern | |

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

residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |

rotate.owin | Rotate a Window | |

square | Square Window | |

project2segment | Move Point To Nearest Line | |

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

scanpp | Read Point Pattern From Data File | |

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

summary.ppm | Summarizing a Fitted Point Process Model | |

redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |

shift.owin | Apply Vector Translation To Window | |

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

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

spokes | Spokes pattern of dummy points | |

pairdist.default | Pairwise distances | |

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

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

spatstat-package | The Spatstat Package | |

summary.splitppp | Summary of a Split Point Pattern | |

rmpoint | Generate N Random Multitype Points | |

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

summary.listof | Summary of a List of Things | |

runifdisc | Generate N Uniform Random Points in a Disc | |

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

shift | Apply Vector Translation | |

plot.ppm | plot a Fitted Point Process Model | |

summary.im | Summarizing a Pixel Image | |

rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |

plot.ppp | plot a Spatial Point Pattern | |

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

rstrat | Simulate Stratified Random Point Pattern | |

summary.quad | Summarizing a Quadrature Scheme | |

update.kppm | Update a Fitted Cluster Point Process Model | |

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

tiles | Extract List of Tiles in a Tessellation | |

rMatClust | Simulate Matern Cluster Process | |

rpoint | Generate N Random Points | |

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

quadrats | Divide Region into Quadrats | |

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

runifpoint | Generate N Uniform Random Points | |

rpoispp | Generate Poisson Point Pattern | |

rshift.psp | Randomly Shift a Line Segment Pattern | |

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

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

trim.rectangle | Cut margins from rectangle | |

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

whist | Weighted Histogram | |

update.ppm | Update a Fitted Point Process Model | |

No Results! |

## Last month downloads

## Details

Date | 15 december 2009 |

License | GPL (>= 2) |

URL | http://www.spatstat.org |

Packaged | 2009-12-17 06:52:14 UTC; adrian |

Repository | CRAN |

Date/Publication | 2009-12-17 17:17:51 |

depends | base (>= 2.10.0) , deldir (>= 0.0-7) , graphics , mgcv , R (>= 2.10.0) , stats , utils |

suggests | gpclib , maptools , rpanel , scatterplot3d , sm , tkrplot |

Contributors | Rolf Turner, Adrian Baddeley |

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