spatstat v1.6-5

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by Adrian Baddeley

Spatial Point Pattern analysis, model-fitting and simulation

Spatial Point Pattern data analysis, modelling and simulation including multitype/marked points and spatial covariates

Functions in spatstat

Name Description
Softcore The Soft Core Point Process Model
gridweights Compute Quadrature Weights Based on Grid Counts
ord.family Ord Interaction Process Family
is.marked Test Whether Marks Are Present
MultiStrauss The Multitype Strauss Point Process Model
affine Apply Affine Transformation
Gmulti Marked Nearest Neighbour Distance Function
Jmulti Marked J Function
centroid.owin Centroid of a window
Pairwise Generic Pairwise Interaction model
dirichlet.weights Compute Quadrature Weights Based on Dirichlet Tessellation
as.ppp Convert Data To Class ppp
print.ppp Print Brief Details of a Point Pattern Dataset
Ord Generic Ord Interaction model
rmh Simulate point patterns using the Metropolis-Hastings algorithm.
plot.im Plot a Pixel Image
quadscheme Generate a Quadrature Scheme from a Point Pattern
rmhstart Determine Initial State for Metropolis-Hastings Simulation.
ppm Fit Point Process Model to Data
ripras Estimate window from points alone
is.ppp Test Whether An Object Is A Point Pattern
pairsat.family Saturated Pairwise Interaction Point Process Family
is.marked.ppm Test Whether A Point Process Model is Marked
LennardJones The Lennard-Jones Potential
envelope Simulation envelopes of summary function
quad.object Class of Quadrature Schemes
applynbd Apply Function to Every Neighbourhood in a Point Pattern
subset.fasp Extract Subset of Function Array
Kmulti Marked K-Function
subset.fv Extract Subset of Function Values
complement.owin Take Complement of a Window
unmark Remove Marks from a Marked Point Pattern
Saturated Saturated Pairwise Interaction model
crossdist Pairwise distances between two different point patterns
pcf.fv Pair Correlation Function obtained from K Function
cells Biological Cells Point Pattern
plot.fv Plot Function Valuesn
amacrine Hughes' Amacrine Cell Data
rMaternI Simulate Matern Model I
im.object Class of Images
finpines Pine saplings in Finland.
plot.fasp Plot a Function Array
dummy.ppm Extract Dummy Points Used to Fit a Point Process Model
Fest Estimate the empty space function F
fitted.ppm Fitted Conditional Intensity for Point Process Model
Gdot Multitype Nearest Neighbour Distance Function (i-to-any)
allstats Calculate four standard summary functions of a point pattern.
Geyer Geyer's Saturation Point Process Model
split.ppp Divide Point Pattern into Sub-patterns
quad.ppm Extract Quadrature Scheme Used to Fit a Point Process Model
is.im Test Whether An Object Is A Pixel Image
swedishpines Swedish Pines Point Pattern
Jest Estimate the J-function
intersect.owin Intersection or Union of Two Windows
eroded.areas Areas of Morphological Erosions
superimpose Superimpose Several Point Patterns
rmh.default Simulate Point Process Models using the Metropolis-Hastings Algorithm.
print.im Print Brief Details of an Image
ppp Create a Point Pattern
coef.ppm Coefficients of Fitted Point Process Model
print.quad Print a Quadrature Scheme
stratrand Stratified random point pattern
Gest Nearest Neighbour Distance Function G
scanpp Read Point Pattern From Data File
Jcross Multitype J Function (i-to-j)
default.dummy Generate a Default Pattern of Dummy Points
Kinhom Inhomogeneous K-function
distmap.ppp Distance Map of Point Pattern
im Create a Pixel Image Object
summary.im Summarizing a Pixel Image
area.owin Area of a Window
is.ppm Test Whether An Object Is A Fitted Point Process Model
lansing Lansing Woods Point Pattern
fasp.object Function Arrays for Spatial Patterns
setmarks Set or Reset the Marks in a Point Pattern
rNeymanScott Simulate Neyman-Scott Process
summary.ppm Summarizing a Fitted Point Process Model
copper Berman-Huntington points and lines data
anova.ppm ANOVA for Fitted Point Process Models
is.marked.ppp Test Whether A Point Pattern is Marked
subset.im Extract Subset of Image
inside.owin Test Whether Points Are Inside A Window
erode.owin Erode a Window
longleaf Longleaf Pines Point Pattern
pairwise.family Pairwise Interaction Process Family
subset.ppp Extract or Replace Subset of Point Pattern
fv.object Data Frames of Function Values
identify.ppp Identify Points in a Point Pattern
nearest.raster.point Find Pixel Nearest to a Given Point
japanesepines Japanese Pines Point Pattern
affine.ppp Apply Affine Transformation To Point Pattern
as.owin Convert Data To Class owin
plot.plotppm Plot a plotppm Object Created by plot.ppm
Jdot Multitype J Function (i-to-any)
bramblecanes Hutchings' Bramble Canes data
redwoodfull California Redwoods Point Pattern (Entire Dataset)
rmpoispp Generate Multitype Poisson Point Pattern
Poisson Poisson Point Process Model
is.owin Test Whether An Object Is A Window
letterR Window in Shape of Letter R
ganglia Beta Ganglion Cells in Cat Retina, Old Version
kaplan.meier Kaplan-Meier Estimator using Histogram Data
plot.quad plot a Spatial Quadrature Scheme
PairPiece The Piecewise Constant Pairwise Interaction Point Process Model
print.ppm Print a Fitted Point Process Model
shift.im Apply Vector Translation To Pixel Image
MultiStraussHard The Multitype/Hard Core Strauss Point Process Model
rMatClust Simulate Matern Cluster Process
plot.splitppp Plot a List of Point Patterns
shift Apply Vector Translation
betacells Beta Ganglion Cells in Cat Retina
spatstat-internal Internal spatstat functions
print.owin Print Brief Details of a Spatial Window
rescue.rectangle Convert Window Back To Rectangle
summary.quad Summarizing a Quadrature Scheme
Kest.fft K-function using FFT
reduced.sample Reduced Sample Estimator using Histogram Data
is.subset.owin Determine Whether One Window is Contained In Another
ppm.object Class of Fitted Point Process Models
spruces Spruces Point Pattern
Kcross Multitype K Function (Cross-type)
nztrees New Zealand Trees Point Pattern
OrdThresh Ord's Interaction model
redwood California Redwoods Point Pattern (Ripley's Subset)
Gcross Multitype Nearest Neighbour Distance Function (i-to-j)
DiggleGratton Diggle-Gratton model
rpoint Generate N Random Points
affine.owin Apply Affine Transformation To Window
quadratcount Quadrat counting for a point pattern
km.rs Kaplan-Meier and Reduced Sample Estimator using Histograms
Strauss The Strauss Point Process Model
rmpoint Generate N Random Multitype Points
Kdot Multitype K Function (i-to-any)
Kest K-function
rmhcontrol Set Control Parameters for Metropolis-Hastings Algorithm.
StraussHard The Strauss / Hard Core Point Process Model
simdat Simulated Point Pattern
demopat Artificial Data Point Pattern
alltypes Calculate Statistic for All Types in a Multitype Point Pattern
bdist.points Distance to Boundary of Window
owin Create a Window
as.im Convert to Pixel Image
bdist.pixels Distance to Boundary of Window
concatxy Concatenate x,y Coordinate Vectors
rotate.ppp Rotate a Point Pattern
spatstat-deprecated Deprecated spatstat functions
square Square Window
pcf.ppp Pair Correlation Function of Point Pattern
data.ppm Extract Original Data from a Fitted Point Process Model
summary.ppp Summary of a Point Pattern Dataset
bounding.box Bounding Box of a Window
Kmeasure Reduced Second Moment Measure
harmonic Basis for Harmonic Functions
as.mask Pixel Image Approximation of a Window
summary.owin Summary of a Spatial Window
owin.object Class owin
rSSI Simple Sequential Inhibition
spokes Spokes pattern of dummy points
raster.x Cartesian Coordinates for a Pixel Raster
distmap.owin Distance Map of Window
corners Corners of a rectangle
pairdist Pairwise distances
rpoispp Generate Poisson Point Pattern
setcov Set Covariance of a Window
update.ppm Update a Fitted Point Process Model
cut.ppp Convert Point Pattern Marks from Numeric to Factor
nndist Nearest neighbour distances
spatstat.options Internal Options in Spatstat Package
rotate.owin Rotate a Window
plot.ppp plot a Spatial Point Pattern
markcorr Mark Correlation Function
ppp.object Class of Point Patterns
rmh.ppm Simulate from a Fitted Point Process Model
rotate Rotate
gridcentres Rectangular grid of points
expand.owin Expand Window By Factor
rmhmodel Define Point Process Model for Metropolis-Hastings Simulation.
plot.owin Plot a Spatial Window
reach Interaction Distance of a Point Process
pcf.fasp Pair Correlation Function obtained from array of K functions
diameter Diameter of a Window Frame
union.quad Union of Data and Dummy Points
distmap Distance Map
as.rectangle Window Frame
plot.ppm plot a Fitted Point Process Model
rMaternII Simulate Matern Model II
hamster Aherne's hamster tumour data
rThomas Simulate Thomas Process
shift.owin Apply Vector Translation To Window
ksmooth.ppp Kernel Smoothed Intensity of Point Pattern
pcf Pair Correlation Function
predict.ppm Prediction from a Fitted Point Process Model
runifpoint Generate N Uniform Random Points
shift.ppp Apply Vector Translation To Point Pattern
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Date 21 April 2005
License GPL version 2 or newer
URL http://www.maths.uwa.edu.au/~adrian/spatstat.html
Packaged Thu Apr 21 12:05:06 2005; adrian

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