# spatstat v1.17-2

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 | |

BadGey | Hybrid Geyer Point Process Model | |

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

clickpoly | Interactively Define a Polygon | |

bramblecanes | Hutchings' Bramble Canes data | |

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

dirichlet | Dirichlet Tessellation of Point Pattern | |

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

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

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

border | Border Region of a Window | |

Extract.fv | Extract Subset of Function Values | |

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

Extract.im | Extract Subset of Image | |

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

MultiStrauss | The Multitype Strauss Point Process Model | |

eroded.areas | Areas of Morphological Erosions | |

eval.fv | Evaluate Expression Involving Functions | |

fasp.object | Function Arrays for Spatial Patterns | |

Lest | L-function | |

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

ewcdf | Weighted Empirical Cumulative Distribution Function | |

crossdist | Pairwise distances | |

Kmeasure | Reduced Second Moment Measure | |

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

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

Ldot.inhom | Inhomogeneous Multitype L Dot Function | |

Gmulti | Marked Nearest Neighbour Distance Function | |

Softcore | The Soft Core Point Process Model | |

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

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

AreaInter | The Area Interaction Point Process Model | |

Kest.fft | K-function using FFT | |

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

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

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

betacells | Beta Ganglion Cells in Cat Retina | |

convexhull | Convex Hull | |

envelope | Simulation envelopes of summary function | |

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

affine | Apply Affine Transformation | |

angles.psp | Orientation Angles of Line Segments | |

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

Extract.quad | Subset of Quadrature Scheme | |

gpc2owin | Convert Polygonal Region into Different Format | |

as.hyperframe | Convert Data to Hyperframe | |

markconnect | Mark Connection Function | |

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

Iest | Estimate the I-function | |

area.owin | Area of a Window | |

ants | Harkness-Isham ants' nests data | |

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

markvario | Mark Variogram | |

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

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

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

areaLoss | Difference of Disc Areas | |

complement.owin | Take Complement of a Window | |

nbfires | Point Patterns of New Brunswick Forest Fires | |

bdist.pixels | Distance to Boundary of Window | |

Emark | Diagnostics for random marking | |

demopat | Artificial Data Point Pattern | |

bdist.points | Distance to Boundary of Window | |

DiggleGratton | Diggle-Gratton model | |

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

Kcross.inhom | Inhomogeneous Cross K Function | |

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

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

Jmulti | Marked J Function | |

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

as.tess | Convert Data To Tessellation | |

dilation | Morphological Dilation | |

Lcross.inhom | Inhomogeneous Cross Type L Function | |

Hest | Spherical Contact Distribution Function | |

Fest | Estimate the empty space function F | |

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

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

pcf | Pair Correlation Function | |

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

expand.owin | Expand Window By Factor | |

plot.ppp | plot a Spatial Point Pattern | |

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

Jest | Estimate the J-function | |

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

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

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

anemones | Beadlet Anemones Data | |

as.ppp | Convert Data To Class ppp | |

convexhull.xy | Convex Hull of Points | |

Geyer | Geyer's Saturation Point Process Model | |

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

amacrine | Hughes' Amacrine Cell Data | |

opening | Morphological Opening | |

harmonic | Basis for Harmonic Functions | |

Strauss | The Strauss Point Process Model | |

Linhom | L-function | |

Saturated | Saturated Pairwise Interaction model | |

areaGain | Difference of Disc Areas | |

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

colourmap | Colour Lookup Tables | |

clarkevans | Clark and Evans Aggregation Index | |

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

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

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

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

as.im | Convert to Pixel Image | |

levelset | Level Set of a Pixel Image | |

erosion | Morphological Erosion | |

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

Kmulti | Marked K-Function | |

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

LennardJones | The Lennard-Jones Potential | |

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

bronzefilter | Bronze gradient filter data | |

intersect.tess | Intersection of Two Tessellations | |

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

blur | Apply Gaussian Blur to a Pixel Image | |

markcorr | Mark Correlation Function | |

Gest | Nearest Neighbour Distance Function G | |

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

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

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

Poisson | Poisson Point Process Model | |

quadrats | Divide Region into Quadrats | |

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

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

copper | Berman-Huntington points and lines data | |

contour.im | Contour plot of pixel image | |

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

box3 | Three-Dimensional Box | |

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

diameter | Diameter of a Window | |

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

hamster | Aherne's hamster tumour data | |

persp.im | Perspective Plot of Pixel Image | |

as.rectangle | Window Frame | |

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

concatxy | Concatenate x,y Coordinate Vectors | |

chorley | Chorley-Ribble Cancer Data | |

Kinhom | Inhomogeneous K-function | |

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

miplot | Morishita Index Plot | |

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

distfun | Distance Map as a Function | |

append.psp | Combine Two Line Segment Patterns | |

eval.im | Evaluate Expression Involving Pixel Images | |

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

plot.im | Plot a Pixel Image | |

letterR | Window in Shape of Letter R | |

gridweights | Compute Quadrature Weights Based on Grid Counts | |

hyperframe | Hyper Data Frame | |

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

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

rStrauss | Perfect Simulation of the Strauss Process | |

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

nztrees | New Zealand Trees Point Pattern | |

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

endpoints.psp | Endpoints of Line Segment Pattern | |

eval.fasp | Evaluate Expression Involving Function Arrays | |

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

discpartarea | Area of Part of Disc | |

clickppp | Interactively Add Points | |

Kdot.inhom | Inhomogeneous Multitype K Dot Function | |

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

midpoints.psp | Midpoints of Line Segment Pattern | |

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

delaunay | Delaunay Triangulation of Point Pattern | |

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

disc | Circular Window | |

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

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

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

pcfcross | Multitype pair correlation function | |

Pairwise | Generic Pairwise Interaction model | |

owin.object | Class owin | |

ponderosa | Ponderosa Pine Tree Point Pattern | |

closing | Morphological Closing | |

as.owin | Convert Data To Class owin | |

spatstat-deprecated | Deprecated spatstat functions | |

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

distmap.ppp | Distance Map of Point Pattern | |

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

ppp.object | Class of Point Patterns | |

eem | Exponential Energy Marks | |

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

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

dilated.areas | Areas of Morphological Dilations | |

stieltjes | Compute Integral of Function Against Cumulative Distribution | |

bei | Tropical rain forest trees | |

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

finpines | Pine saplings in Finland. | |

is.multitype | Test whether Object is Multitype | |

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

multiplicity.ppp | Count Multiplicity of Duplicate Points | |

summary.im | Summarizing a Pixel Image | |

markcorrint | Mark Correlation Integral | |

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

incircle | Find Largest Circle Inside Window | |

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

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

pairdist | Pairwise distances | |

pp3 | Three Dimensional Point Pattern | |

longleaf | Longleaf Pines Point Pattern | |

inforder.family | Infinite Order Interaction Family | |

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

plot.owin | Plot a Spatial Window | |

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

nncross | Nearest Neighbours Between Two Patterns | |

im.object | Class of Images | |

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

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

interp.im | Interpolate a Pixel Image | |

rsyst | Simulate systematic random point pattern | |

corners | Corners of a rectangle | |

rotate.owin | Rotate a Window | |

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

distmap | Distance Map | |

nearestsegment | Find Line Segment Nearest to Each Point | |

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

plot.fasp | Plot a Function Array | |

spruces | Spruces Point Pattern | |

print.quad | Print a Quadrature Scheme | |

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

rpoisline | Generate Poisson Random Line Process | |

perimeter | Perimeter Length of Window | |

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

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

rNeymanScott | Simulate Neyman-Scott Process | |

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

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

matchingdist | Distance for a Point Pattern Matching | |

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

tess | Create a Tessellation | |

lansing | Lansing Woods Point Pattern | |

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

gridcentres | Rectangular grid of points | |

im | Create a Pixel Image Object | |

fv.object | Data Frames of Function Values | |

swedishpines | Swedish Pines Point Pattern | |

quantile.im | Sample Quantiles of Pixel Image | |

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

rMaternII | Simulate Matern Model II | |

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

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

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

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

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

fryplot | Fry Plot of Point Pattern | |

is.marked | Test Whether Marks Are Present | |

distmap.owin | Distance Map of Window | |

plot.bermantest | Plot Result of Berman Test | |

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

mincontrast | Method of Minimum Contrast | |

infline | Infinite Straight Lines | |

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

humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |

cells | Biological Cells Point Pattern | |

lut | Lookup Tables | |

localK | Neighbourhood density function | |

kppm | Fit cluster point process model | |

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

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

owin | Create a Window | |

spatstat-internal | Internal spatstat functions | |

pairdist.psp | Pairwise distances between line segments | |

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

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

japanesepines | Japanese Pines Point Pattern | |

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

progressreport | Print Progress Reports | |

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

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

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

psp.object | Class of Line Segment Patterns | |

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

lengths.psp | Lengths of Line Segments | |

project2segment | Move Point To Nearest Line | |

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

quad.object | Class of Quadrature Schemes | |

plot.listof | Plot a List of Things | |

shift.owin | Apply Vector Translation To Window | |

tiles | Extract List of Tiles in a Tessellation | |

plot.fv | Plot Function Values | |

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

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

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

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

rotate.ppp | Rotate a Point Pattern | |

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

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

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

rescale | Convert dataset to another unit of length | |

pairdist.ppp | Pairwise distances | |

urkiola | Urkiola Woods Point Pattern | |

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

quadratcount | Quadrat counting for a point pattern | |

rescue.rectangle | Convert Window Back To Rectangle | |

plot.hyperframe | Plot Entries in a Hyperframe | |

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

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

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

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

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

rGaussPoisson | Simulate Gauss-Poisson Process | |

rmpoint | Generate N Random Multitype Points | |

heather | Diggle's Heather Data | |

rpoint | Generate N Random Points | |

square | Square Window | |

rmpoispp | Generate Multitype Poisson Point Pattern | |

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

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

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

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

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

shift | Apply Vector Translation | |

shapley | Galaxies in the Shapley Supercluster | |

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

suffstat | Sufficient Statistic of Point Process Model | |

plot.quad | plot a Spatial Quadrature Scheme | |

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

murchison | Murchison gold deposits | |

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

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

pointsOnLines | Place Points Evenly Along Specified Lines | |

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

rstrat | Simulate Stratified Random Point Pattern | |

spatstat.options | Internal Options in Spatstat Package | |

pairdist.default | Pairwise distances | |

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

rcell | Simulate Baddeley-Silverman Cell Process | |

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

nnwhich | Nearest neighbour | |

pppmatching | Create a Point Matching | |

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

rshift | Random Shift | |

summary.owin | Summary of a Spatial Window | |

profilepl | Profile Maximum Pseudolikelihood | |

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

setcov | Set Covariance of a Window | |

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

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

reach | Interaction Distance of a Point Process | |

pppmatching.object | Class of Point Matchings | |

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

pairwise.family | Pairwise Interaction Process Family | |

rMatClust | Simulate Matern Cluster Process | |

ppx | Multidimensional Space-Time Point Pattern | |

rpoispp | Generate Poisson Point Pattern | |

rpoislinetess | Poisson Line Tessellation | |

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

rMosaicSet | Mosaic Random Set | |

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

ppp | Create a Point Pattern | |

superimpose | Superimpose Several Point Patterns | |

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

pixellate | Convert Spatial Object to Pixel Image | |

rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |

unitname | Name for Unit of Length | |

rSSI | Simulate Simple Sequential Inhibition | |

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

OrdThresh | Ord's Interaction model | |

ord.family | Ord Interaction Process Family | |

psp | Create a Line Segment Pattern | |

pixelquad | Quadrature Scheme Based on Pixel Grid | |

plot.colourmap | Plot a Colour Map | |

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

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

rshift.ppp | Randomly Shift a Point Pattern | |

scanpp | Read Point Pattern From Data File | |

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

rjitter | Random Perturbation of a Point Pattern | |

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

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

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

rthin | Random Thinning | |

rThomas | Simulate Thomas Process | |

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

rotate | Rotate | |

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

ppm | Fit Point Process Model to Data | |

as.psp | Convert Data To Class psp | |

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

spatstat-package | The Spatstat Package | |

connected | Connected components of an image or window | |

rMaternI | Simulate Matern Model I | |

spokes | Spokes pattern of dummy points | |

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

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

vertices | Vertices of a Window | |

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

rlabel | Random Re-Labelling of Point Pattern | |

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

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

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

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

trim.rectangle | Cut margins from rectangle | |

rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |

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

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

simdat | Simulated Point Pattern | |

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

summary.quad | Summarizing a Quadrature Scheme | |

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

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

runifpoint | Generate N Uniform Random Points | |

model.images | Compute Images of Constructed Covariates | |

superimposePSP | Superimpose Several Line Segment Patterns | |

lurking | Lurking variable plot | |

nndist | Nearest neighbour distances | |

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

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

pppdist | Distance Between Two Point Patterns | |

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

quadratresample | Resample a Point Pattern by Resampling Quadrats | |

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

ripras | Estimate window from points alone | |

rotate.psp | Rotate a Line Segment Pattern | |

Extract.fasp | Extract Subset of Function Array | |

Ord | Generic Ord Interaction model | |

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

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

unmark | Remove Marks | |

Kest | K-function | |

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

affine.owin | Apply Affine Transformation To Window | |

bdist.tiles | Distance to Boundary of Window | |

centroid.owin | Centroid of a window | |

deltametric | Delta Metric | |

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

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

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

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

pixellate.owin | Convert Window to Pixel Image | |

plot.tess | Plot a tessellation | |

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

rMosaicField | Mosaic Random Field | |

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

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

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

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

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## Last month downloads

## Details

Date | 10 november 2009 |

License | GPL (>= 2) |

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

Packaged | 2009-11-10 21:02:06 UTC; adrian |

Repository | CRAN |

Date/Publication | 2009-11-10 10:15:26 |

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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