spatstat v1.22-3


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by Adrian Baddeley

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, and space-time point patterns in any number of dimensions. Contains over 1000 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. Exploratory methods include K-functions, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics etc. Point process models can be fitted to point pattern data using functions ppm, kppm, slrm similar to glm. Models may include dependence on covariates, interpoint interaction, cluster formation 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
Kmulti Marked K-Function
Hardcore The Hard Core Point Process Model
K3est K-function of a Three-Dimensional Point Pattern
Fiksel The Fiksel Interaction
Kdot.inhom Inhomogeneous Multitype K Dot Function
Gcross Multitype Nearest Neighbour Distance Function (i-to-j)
G3est Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern
Lcross.inhom Inhomogeneous Cross Type L Function
Kscaled Locally Scaled K-function
LennardJones The Lennard-Jones Potential
PairPiece The Piecewise Constant Pairwise Interaction Point Process Model
Gfox Foxall's Distance Functions Test Whether Two Pixel Images Are Compatible
Ord Generic Ord Interaction model
coef.slrm Coefficients of Fitted Spatial Logistic Regression Model
density.splitppp Kernel Smoothed Intensity of Split Point Pattern
ants Harkness-Isham ants' nests data
Geyer Geyer's Saturation Point Process Model
Kinhom Inhomogeneous K-function
Gmulti Marked Nearest Neighbour Distance Function
Extract.ppp Extract or Replace Subset of Point Pattern
as.mask Pixel Image Approximation of a Window
Iest Estimate the I-function
Pairwise Generic Pairwise Interaction model
compatible.fasp Test Whether Two Function Arrays Are Compatible
bermantest Berman's Tests for Point Process Model
Ldot.inhom Inhomogeneous Multitype L Dot Function
Fest Estimate the empty space function F
angles.psp Orientation Angles of Line Segments
AreaInter The Area Interaction Point Process Model
affine.owin Apply Affine Transformation To Window
F3est Empty Space Function of a Three-Dimensional Point Pattern
DiggleGatesStibbard Diggle-Gates-Stibbard Point Process Model
Jcross Multitype J Function (i-to-j)
Extract.splitppp Extract or Replace Sub-Patterns
Ldot Multitype L-function (i-to-any)
gpc2owin Convert Polygonal Region into Different Format
as.mask.psp Convert Line Segment Pattern to Binary Pixel Mask
clickjoin Interactively join vertices on a plot
bw.relrisk Cross Validated Bandwidth Selection for Relative Risk Estimation
Jmulti Marked J Function
dilation Morphological Dilation
disc Circular Window
Kdot Multitype K Function (i-to-any)
expand.owin Expand Window By Factor Apply Function to Image Broken Down by Factor
corners Corners of a rectangle
areaLoss Difference of Disc Areas
crossdist.ppp Pairwise distances between two different point patterns
humberside Humberside Data on Childhood Leukaemia and Lymphoma
Kmodel K function of a model
colourtools Convert and Compare Colours in Different Formats
finpines Pine saplings in Finland.
diameter.box3 Geometrical Calculations for Three-Dimensional Box
collapse.fv Collapse Several Function Tables into One
convexhull.xy Convex Hull of Points
ganglia Beta Ganglion Cells in Cat Retina, Old Version
deltametric Delta Metric
logLik.ppm Log Likelihood and AIC for Point Process Model
bdist.pixels Distance to Boundary of Window
multiplicity.ppp Count Multiplicity of Duplicate Points
boxx Multi-Dimensional Box
amacrine Hughes' Amacrine Cell Data
methods.linnet Methods for Linear Networks Extract Subset of Image
Kest.fft K-function using FFT Convex Hull of Points
chop.tess Subdivide a Window or Tessellation using a Set of Lines
applynbd Apply Function to Every Neighbourhood in a Point Pattern
as.polygonal Convert a Window to a Polygonal Window
areaGain Difference of Disc Areas Coerce Line Segment Pattern to a Data Frame
Hest Spherical Contact Distribution Function
fv.object Function Value Table
default.dummy Generate a Default Pattern of Dummy Points
Extract.listof Extract or Replace Subset of a List of Things
distmap Distance Map
bdist.points Distance to Boundary of Window
by.ppp Apply a Function to a Point Pattern Broken Down by Factor
crossdist.psp Pairwise distances between two different line segment patterns
betacells Beta Ganglion Cells in Cat Retina
fasp.object Function Arrays for Spatial Patterns
is.multitype Test whether Object is Multitype
Softcore The Soft Core Point Process Model
border Border Region of a Window
harmonic Basis for Harmonic Functions
hyperframe Hyper Data Frame
Saturated Saturated Pairwise Interaction model
anemones Beadlet Anemones Data
distfun Distance Map as a Function
is.marked Test Whether Marks Are Present
clarkevans Clark and Evans Aggregation Index
density.psp Kernel Smoothing of Line Segment Pattern
clip.infline Intersect Infinite Straight Lines with a Window
adaptive.density Intensity Estimate of Point Pattern Using Tessellation
clickpoly Interactively Define a Polygon
cut.ppp Classify Points in a Point Pattern
endpoints.psp Endpoints of Line Segment Pattern
is.subset.owin Determine Whether One Window is Contained In Another
pairdist.ppp Pairwise distances
lansing Lansing Woods Point Pattern
fitted.slrm Fitted Probabilities for Spatial Logistic Regression Histogram of Pixel Values in an Image
Kcross Multitype K Function (Cross-type)
lengths.psp Lengths of Line Segments
as.owin Convert Data To Class owin
is.marked.ppp Test Whether A Point Pattern is Marked
model.frame.ppm Extract the Environment of a Point Process Model
is.owin Test Whether An Object Is A Window
box3 Three-Dimensional Box
matclust.estpcf Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
copper Berman-Huntington points and lines data
methods.distfun Methods for Distance Functions
kstest.ppm Kolmogorov-Smirnov Test for Point Process Model
murchison Murchison gold deposits Pairwise Interaction Process Family
density.ppp Kernel Smoothed Intensity of Point Pattern
matclust.estK Fit the Matern Cluster Point Process by Minimum Contrast
is.marked.ppm Test Whether A Point Process Model is Marked Bounding Box of a Window or Point Pattern
nndist.psp Nearest neighbour distances between line segments
as.rectangle Window Frame
discpartarea Area of Part of Disc
data.ppm Extract Original Data from a Fitted Point Process Model
diameter.boxx Geometrical Calculations for Multi-Dimensional Box
pp3 Three Dimensional Point Pattern
envelope Simulation Envelopes of Summary Function
cbind.hyperframe Combine Hyperframes by Rows or by Columns
heather Diggle's Heather Data
is.multitype.ppm Test Whether A Point Process Model is Multitype
rpoislinetess Poisson Line Tessellation
is.ppp Test Whether An Object Is A Point Pattern
matchingdist Distance for a Point Pattern Matching
nnclean Nearest Neighbour Clutter Removal
kppm Fit Cluster or Cox Point Process Model
rsyst Simulate systematic random point pattern
coef.ppm Coefficients of Fitted Point Process Model Interpolate a Pixel Image
clickppp Interactively Add Points
localpcf Local pair correlation function
closing Morphological Closing
model.images Compute Images of Constructed Covariates
BadGey Hybrid Geyer Point Process Model
pcf Pair Correlation Function
markcorrint Mark Correlation Integral
eem Exponential Energy Marks
crossdist.ppx Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
convexhull Convex Hull
Lcross Multitype L-function (cross-type)
Kcross.inhom Inhomogeneous Cross K Function
crossdist.pp3 Pairwise distances between two different three-dimensional point patterns
markstat Summarise Marks in Every Neighbourhood in a Point Pattern
iplot Point and Click Interface for Displaying a Point Pattern
Extract.fasp Extract Subset of Function Array
lpp Create Point Pattern on Linear Network
Gest Nearest Neighbour Distance Function G
npoints Number of Points in a Point Pattern
as.ppp Convert Data To Class ppp
discretise Safely Convert Point Pattern Window to Binary Mask
owin.object Class owin
crossdist.default Pairwise distances between two different sets of points Evaluate Expression Involving Pixel Images
MultiHard The Multitype Hard Core Point Process Model
pcf.fasp Pair Correlation Function obtained from array of K functions
marks.psp Marks of a Line Segment Pattern
nnwhich Nearest neighbour
affine.ppp Apply Affine Transformation To Point Pattern
bw.stoyan Stoyan's Rule of Thumb for Bandwidth Selection
dilated.areas Areas of Morphological Dilations
methods.box3 Methods for Three-Dimensional Box
Jdot Multitype J Function (i-to-any)
identify.psp Identify Segments in a Line Segment Pattern
nearest.raster.point Find Pixel Nearest to a Given Point
Strauss The Strauss Point Process Model
markcorr Mark Correlation Function
plot.owin Plot a Spatial Window
runifdisc Generate N Uniform Random Points in a Disc
istat Point and Click Interface for Exploratory Analysis of Point Pattern
fv Create a Function Value Table
complement.owin Take Complement of a Window
methods.ppx Methods for Multidimensional Space-Time Point Patterns
plot.envelope Plot a Simulation Envelope
nndist.ppx Nearest Neighbour Distances in Any Dimensions
letterR Window in Shape of Letter R
is.stationary Recognise Stationary and Poisson Point Process Models
plot.linnet Plot a linear network
pixelquad Quadrature Scheme Based on Pixel Grid
rotate Rotate
distmap.psp Distance Map of Line Segment Pattern
mincontrast Method of Minimum Contrast
default.expand Compute Expansion Window for Simulation
nearestsegment Find Line Segment Nearest to Each Point
erosion Morphological Erosion
dirichlet Dirichlet Tessellation of Point Pattern
summary.ppm Summarizing a Fitted Point Process Model
profilepl Profile Maximum Pseudolikelihood
summary.ppp Summary of a Point Pattern Dataset
plot.colourmap Plot a Colour Map
StraussHard The Strauss / Hard Core Point Process Model
pairdist.ppx Pairwise Distances in Any Dimensions
intersect.owin Intersection, Union or Set Subtraction of Two Windows
alltypes Calculate Summary Statistic for All Types in a Multitype Point Pattern
pcfinhom Inhomogeneous Pair Correlation Function
Kmeasure Reduced Second Moment Measure
DiggleGratton Diggle-Gratton model
methods.boxx Methods for Multi-Dimensional Box
raster.x Cartesian Coordinates for a Pixel Raster
urkiola Urkiola Woods Point Pattern
identify.ppp Identify Points in a Point Pattern Saturated Pairwise Interaction Point Process Family
rmh Simulate point patterns using the Metropolis-Hastings algorithm.
Gdot Multitype Nearest Neighbour Distance Function (i-to-any)
gridcentres Rectangular grid of points
lgcp.estpcf Fit a Log-Gaussian Cox Point Process by Minimum Contrast
psp Create a Line Segment Pattern
SatPiece Piecewise Constant Saturated Pairwise Interaction Point Process Model
logLik.slrm Loglikelihood of Spatial Logistic Regression
quadratresample Resample a Point Pattern by Resampling Quadrats
MultiStrauss The Multitype Strauss Point Process Model
markconnect Mark Connection Function
quad.object Class of Quadrature Schemes
methods.kppm Methods for Cluster Point Process Models
levelset Level Set of a Pixel Image
bind.fv Combine Function Value Tables
pixellate.ppp Convert Point Pattern to Pixel Image
Extract.msr Extract Subset of Signed or Vector Measure
rotate.psp Rotate a Line Segment Pattern
stieltjes Compute Integral of Function Against Cumulative Distribution
allstats Calculate four standard summary functions of a point pattern.
as.psp Convert Data To Class psp
eroded.areas Areas of Morphological Erosions
Kest K-function
nndist.pp3 Nearest neighbour distances in three dimensions
anova.slrm Analysis of Deviance for Spatial Logistic Regression Models
plot.fv Plot Function Values
nbfires Point Patterns of New Brunswick Forest Fires
rmh.ppm Simulate from a Fitted Point Process Model
Extract.tess Extract or Replace Subset of Tessellation
rshift.ppp Randomly Shift a Point Pattern
MultiStraussHard The Multitype/Hard Core Strauss Point Process Model
coords Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
bdist.tiles Distance to Boundary of Window Ord Interaction Process Family
plot.kstest Plot a Spatial Kolmogorov-Smirnov Test
pointsOnLines Place Points Evenly Along Specified Lines
eval.fasp Evaluate Expression Involving Function Arrays
plot.bermantest Plot Result of Berman Test
affine.psp Apply Affine Transformation To Line Segment Pattern
diameter Diameter of an Object
plot.kppm Plot a fitted cluster point process Integral of a Pixel Image
simdat Simulated Point Pattern
print.ppp Print Brief Details of a Point Pattern Dataset
simplenet Simple Example of Linear Network
plot.splitppp Plot a List of Point Patterns
summary.owin Summary of a Spatial Window
pixellate Convert Spatial Object to Pixel Image
perimeter Perimeter Length of Window
plot.listof Plot a List of Things
crossdist Pairwise distances
kaplan.meier Kaplan-Meier Estimator using Histogram Data
plot.msr Plot a Signed or Vector-Valued Measure
rGaussPoisson Simulate Gauss-Poisson Process
rstrat Simulate Stratified Random Point Pattern
rmhmodel Define Point Process Model for Metropolis-Hastings Simulation.
methods.rhohat Methods for Intensity Functions of Spatial Covariate
anova.ppm ANOVA for Fitted Point Process Models
rshift.psp Randomly Shift a Line Segment Pattern
default.rmhcontrol Set Default Control Parameters for Metropolis-Hastings Algorithm. Sample Quantiles of Pixel Image
diagnose.ppm Diagnostic Plots for Fitted Point Process Model
setcov Set Covariance of a Window
ppm.object Class of Fitted Point Process Models
as.hyperframe Convert Data to Hyperframe
plot.plotppm Plot a plotppm Object Created by plot.ppm
sharpen Data Sharpening of Point Pattern
rlabel Random Re-Labelling of Point Pattern
duplicated.ppp Determine Duplicated Points in a Spatial Point Pattern
plot.pp3 Plot a three-dimensional point pattern
rescale.owin Convert Window to Another Unit of Length
spruces Spruces Point Pattern
diameter.owin Diameter of a Window
effectfun Compute Fitted Effect of a Spatial Covariate in a Point Process Model
unmark Remove Marks
nztrees New Zealand Trees Point Pattern
pairdist.pp3 Pairwise distances in Three Dimensions
vcov.ppm Variance-Covariance Matrix for a Fitted Point Process Model
infline Infinite Straight Lines
OrdThresh Ord's Interaction model
rshift.splitppp Randomly Shift a List of Point Patterns Rounding of Pixel Values
bramblecanes Hutchings' Bramble Canes data Convert to Pixel Image
plot.psp plot a Spatial Line Segment Pattern
selfcrossing.psp Crossing Points in a Line Segment Pattern
quad.ppm Extract Quadrature Scheme Used to Fit a Point Process Model
quadratcount Quadrat counting for a point pattern
lut Lookup Tables
psp.object Class of Line Segment Patterns Kaplan-Meier and Reduced Sample Estimator using Histograms
shapley Galaxies in the Shapley Supercluster
as.hyperframe.ppx Extract coordinates and marks of multidimensional point pattern
clarkevans.test Clark and Evans Test
plot.quad plot a Spatial Quadrature Scheme
ppm Fit Point Process Model to Data Infinite Order Interaction Family
fitin.ppm Extract the Interaction from a Fitted Point Process Model
im Create a Pixel Image Object
print.owin Print Brief Details of a Spatial Window
quadrat.test.splitppp Chi-Squared Test of CSR for Split Point Pattern Print Brief Details of an Image
rgbim Create Colour-Valued Pixel Image
rpoint Generate N Random Points
colourmap Colour Lookup Tables
inside.owin Test Whether Points Are Inside A Window
ppp.object Class of Point Patterns
rMatClust Simulate Matern Cluster Process
bei Tropical rain forest trees
opening Morphological Opening
rmhmodel.default Build Point Process Model for Metropolis-Hastings Simulation.
nnwhich.pp3 Nearest neighbours in three dimensions
pcf.ppp Pair Correlation Function of Point Pattern
quadscheme Generate a Quadrature Scheme from a Point Pattern
plot.ppp plot a Spatial Point Pattern
pcf3est Pair Correlation Function of a Three-Dimensional Point Pattern
summary.quad Summarizing a Quadrature Scheme
envelope.pp3 Simulation Envelopes of Summary Function for 3D Point Pattern
rMosaicSet Mosaic Random Set
is.convex Test Whether a Window is Convex
summary.listof Summary of a List of Things Plot a Pixel Image
simplify.owin Approximate a Polygon by a Simpler Polygon
rmhmodel.list Define Point Process Model for Metropolis-Hastings Simulation.
volume Volume of an Object
summary.splitppp Summary of a Split Point Pattern
rmpoispp Generate Multitype Poisson Point Pattern
print.ppm Print a Fitted Point Process Model
rmhcontrol Set Control Parameters for Metropolis-Hastings Algorithm.
superimpose Superimpose Several Geometric Patterns
pcfcross Multitype pair correlation function (cross-type)
circumradius Circumradius and Diameter of a Linear Network
whist Weighted Histogram
rescale Convert dataset to another unit of length
nncross Nearest Neighbours Between Two Patterns
residuals.ppm Residuals for Fitted Point Process Model
rpoisline Generate Poisson Random Line Process
rpoispp3 Generate Poisson Point Pattern in Three Dimensions
rpoisppx Generate Poisson Point Pattern in Any Dimensions
predict.slrm Predicted or Fitted Values from Spatial Logistic Regression Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image
pairdist Pairwise distances
demopat Artificial Data Point Pattern
delaunay Delaunay Triangulation of Point Pattern
rjitter Random Perturbation of a Point Pattern
print.quad Print a Quadrature Scheme
longleaf Longleaf Pines Point Pattern
rotate.ppp Rotate a Point Pattern
runifpoint Generate N Uniform Random Points
rknn Theoretical Distribution of Nearest Neighbour Distance
shift.psp Apply Vector Translation To Line Segment Pattern Perspective Plot of Pixel Image
rthin Random Thinning Test Whether An Object Is A Pixel Image
print.psp Print Brief Details of a Line Segment Pattern Dataset
simulate.ppm Simulate a Fitted Gibbs Point Process Model
shift.owin Apply Vector Translation To Window
model.matrix.ppm Extract Design Matrix from Point Process Model Apply Vector Translation To Pixel Image
marktable Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
rmhmodel.ppm Interpret Fitted Model for Metropolis-Hastings Simulation.
connected Connected components of an image or window
chorley Chorley-Ribble Cancer Data
rSSI Simulate Simple Sequential Inhibition
lgcp.estK Fit a Log-Gaussian Cox Point Process by Minimum Contrast
square Square Window
pairdist.lpp Pairwise shortest-path distances between points on a linear network
shift Apply Vector Translation
pcf.fv Pair Correlation Function obtained from K Function
spatstat.options Internal Options in Spatstat Package Convert Pixel Image to Another Unit of Length
distmap.owin Distance Map of Window
with.hyperframe Evaluate an Expression in Each Row of a Hyperframe
nndist Nearest neighbour distances
quadrats Divide Region into Quadrats
shift.ppp Apply Vector Translation To Point Pattern
ripras Estimate window from points alone
fitted.ppm Fitted Conditional Intensity for Point Process Model
tile.areas Compute Areas of Tiles in a Tessellation
spokes Spokes pattern of dummy points
is.multitype.ppp Test Whether A Point Pattern is Multitype
runifpoint3 Generate N Uniform Random Points in Three Dimensions
scaletointerval Rescale Data to Lie Between Specified Limits
ppx Multidimensional Space-Time Point Pattern
osteo Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns
rThomas Simulate Thomas Process
trim.rectangle Cut margins from rectangle
rpoisppOnLines Generate Poisson Point Pattern on Line Segments
runiflpp Uniform Random Points on a Linear Network
pcfcross.inhom Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
spatstat-package The Spatstat Package
pairdist.default Pairwise distances
tiles Extract List of Tiles in a Tessellation
incircle Find Largest Circle Inside Window
rescale.ppp Convert Point Pattern to Another Unit of Length
slrm Spatial Logistic Regression
split.ppp Divide Point Pattern into Sub-patterns
vcov.kppm Variance-Covariance Matrix for a Fitted Cluster Point Process Model
thomas.estK Fit the Thomas Point Process by Minimum Contrast Summarizing a Pixel Image
relrisk Nonparametric Estimate of Spatially-Varying Relative Risk
runifpointOnLines Generate N Uniform Random Points On Line Segments
suffstat Sufficient Statistic of Point Process Model
midpoints.psp Midpoints of Line Segment Pattern
linnet Create a Linear Network
qqplot.ppm Q-Q Plot of Residuals from Fitted Point Process Model
update.ppm Update a Fitted Point Process Model
rhohat Smoothing Estimate of Covariate Transformation
rmpoint Generate N Random Multitype Points
plot.tess Plot a tessellation
with.fv Evaluate an Expression in a Function Table
pppmatching Create a Point Matching
unique.ppp Extract Unique Points from a Spatial Point Pattern Print News About Latest Version of Package
plot.hyperframe Plot Entries in a Hyperframe
quadrat.test Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
residualspaper Data and Code From JRSS Discussion Paper on Residuals
methods.lpp Methods for Point Patterns on a Linear Network
markvario Mark Variogram
ppp Create a Point Pattern
pppdist Distance Between Two Point Patterns
nncorr Nearest-Neighbour Correlation Indices of Marked Point Pattern
pppmatching.object Class of Point Matchings
progressreport Print Progress Reports
swedishpines Swedish Pines Point Pattern
owin Create a Window
project2segment Move Point To Nearest Line
rshift Random Shift
varblock Estimate Variance of Summary Statistic by Subdivision
simulate.kppm Simulate a Fitted Cluster Point Process Model Divide Image Into Sub-images
update.kppm Update a Fitted Cluster Point Process Model
Lest L-function
as.tess Convert Data To Tessellation Convert Pixel Image to Data Frame
compatible.fv Test Whether Two Function Objects Are Compatible
concatxy Concatenate x,y Coordinate Vectors
area.owin Area of a Window
hamster Aherne's hamster tumour data
Extract.fv Extract Subset of Function Values Convert Pixel Image from Numeric to Factor
ewcdf Weighted Empirical Cumulative Distribution Function
Jest Estimate the J-function
spatstat-internal Internal spatstat functions
japanesepines Japanese Pines Point Pattern
nnwhich.ppx Nearest Neighbours in Any Dimensions
as.box3 Convert Data to Three-Dimensional Box
cells Biological Cells Point Pattern
pcfdot Multitype pair correlation function (i-to-any)
plot.ppm plot a Fitted Point Process Model
fryplot Fry Plot of Point Pattern
intersect.tess Intersection of Two Tessellations
ponderosa Ponderosa Pine Tree Point Pattern
is.ppm Test Whether An Object Is A Fitted Point Process Model
im.object Class of Images
lurking Lurking variable plot
methods.pp3 Methods for three-dimensional point patterns
msr Signed or Vector-Valued Measure
dirichlet.weights Compute Quadrature Weights Based on Dirichlet Tessellation
redwood California Redwoods Point Pattern (Ripley's Subset)
rescale.psp Convert Line Segment Pattern to Another Unit of Length
pixellate.owin Convert Window to Pixel Image
smooth.ppp Spatial smoothing of observations at irregular points
predict.ppm Prediction from a Fitted Point Process Model
distmap.ppp Distance Map of Point Pattern
solutionset Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True
unitname Name for Unit of Length
rMaternI Simulate Matern Model I Identify Pixelwise Maximum of Several Pixel Images
rMosaicField Mosaic Random Field
vertices Vertices of a Window
redwoodfull California Redwoods Point Pattern (Entire Dataset)
rpoispp Generate Poisson Point Pattern
smooth.msr Smooth a Signed or Vector-Valued Measure
thomas.estpcf Fit the Thomas Point Process by Minimum Contrast
rStrauss Perfect Simulation of the Strauss Process
Extract.quad Subset of Quadrature Scheme
Linhom L-function
Emark Diagnostics for random marking
Poisson Poisson Point Process Model
affine Apply Affine Transformation
append.psp Combine Two Line Segment Patterns Coerce Hyperframe to Data Frame
blur Apply Gaussian Blur to a Pixel Image
bronzefilter Bronze gradient filter data Coerce Point Pattern to a Data Frame
is.empty Test Whether An Object Is Empty
miplot Morishita Index Plot
pairdist.psp Pairwise distances between line segments Scatterplot Matrix for Pixel Images
periodify Make Periodic Copies of a Spatial Pattern
plot.fasp Plot a Function Array
pcfdot.inhom Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
nsegments Number of Line Segments in a Line Segment Pattern
plot.slrm Plot a Fitted Spatial Logistic Regression
rcell Simulate Baddeley-Silverman Cell Process
reach Interaction Distance of a Point Process
scanpp Read Point Pattern From Data File
smooth.fv Apply Smoothing to Function Values
tess Create a Tessellation
summary.psp Summary of a Line Segment Pattern Dataset
Extract.psp Extract Subset of Line Segment Pattern
as.function.fv Convert Function Value Table to Function Reset Values in Subset of Image Convert Pixel Image to Matrix or Array Contour plot of pixel image
crossing.psp Crossing Points of Two Line Segment Patterns
spatstat-deprecated Deprecated spatstat functions
dummy.ppm Extract Dummy Points Used to Fit a Point Process Model
formula.ppm Model Formulae for Gibbs Point Process Models
gridweights Compute Quadrature Weights Based on Grid Counts
localK Neighbourhood density function
centroid.owin Centroid of a window
eval.fv Evaluate Expression Involving Functions
pixellate.psp Convert Line Segment Pattern to Pixel Image
predict.kppm Prediction from a Fitted Cluster Point Process Model
marks Marks of a Point Pattern
rMaternII Simulate Matern Model II
rNeymanScott Simulate Neyman-Scott Process
rLGCP Simulate Log-Gaussian Cox Process
reduced.sample Reduced Sample Estimator using Histogram Data
rescue.rectangle Convert Window Back To Rectangle
rotate.owin Rotate a Window
rlinegrid Generate grid of parallel lines with random displacement
rpoislpp Poisson Point Process on a Linear Network
rmhstart Determine Initial State for Metropolis-Hastings Simulation.
union.quad Union of Data and Dummy Points
linearK Network K Function
runifpointx Generate N Uniform Random Points in Any Dimensions
rmh.default Simulate Point Process Models using the Metropolis-Hastings Algorithm.
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Date 2011-06-17
License GPL (>= 2)
Packaged 2011-06-17 02:58:32 UTC; adrian
Repository CRAN
Date/Publication 2011-06-17 08:36:15

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