spatstat v1.4-3

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by Adrian Baddeley

Analysis of spatial point patterns

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

Functions in spatstat

Name Description
predict.ppm Prediction from a Fitted Point Process Model
ppm.object Class of Fitted Point Process Models
hamster Aherne's hamster tumour data
Gest Nearest Neighbour Distance Function G
applynbd Apply Function to Every Neighbourhood in a Point Pattern
Jdot Multitype J Function (i-to-any)
print.im Print Brief Details of an Image
Softcore The Soft Core Point Process Model
alltypes Calculate Statistic for All Types in a Multitype Point Pattern
affine.ppp Apply Affine Transformation To Point Pattern
as.mask Pixel Image Approximation of a Window
OrdThresh Ord's Interaction model
Strauss The Strauss Point Process Model
Kest.fft K-function using FFT
amacrine Hughes' Amacrine Cell Data
Fest Estimate the empty space function F
complement.owin Take Complement of a Window
fasp.object Function Arrays for Spatial Patterns
as.owin Convert Data To Class owin
Jmulti Marked J Function
Poisson Poisson Point Process Model
Kest K-function
lansing Lansing Woods Point Pattern
centroid.owin Centroid of a window
MultiStraussHard The Multitype/Hard Core Strauss Point Process Model
inside.owin Test Whether Points Are Inside A Window
Jest Estimate the J-function
Kmulti Marked K-Function
Pairwise Generic Pairwise Interaction model
is.subset.owin Determine Whether One Window is Contained In Another
Kmeasure Reduced Second Moment Measure
Geyer Geyer's Saturation Point Process Model
dirichlet.weights Compute Quadrature Weights Based on Dirichlet Tessellation
LennardJones The Lennard-Jones Potential
bdist.pixels Distance to Boundary of Window
print.quad Print a Quadrature Scheme
is.marked.ppm Test Whether A Point Process Model is Marked
allstats Calculate four standard summary functions of a point pattern.
PairPiece The Piecewise Constant Pairwise Interaction Point Process Model
Gmulti Marked Nearest Neighbour Distance Function
affine.owin Apply Affine Transformation To Window
Kcross Multitype K Function (Cross-type)
erode.owin Erode a Window
DiggleGratton Diggle-Gratton model
im Create a Pixel Image Object
demopat Artificial Data Point Pattern
harmonic Basis for Harmonic Functions
area.owin Area of a Window
cells Biological Cells Point Pattern
identify.ppp Identify Points in a Point Pattern
nztrees New Zealand Trees Point Pattern
superimpose Superimpose Several Point Patterns
as.ppp Convert Data To Class ppp
owin Create a Window
affine Apply Affine Transformation
is.marked Test Whether Marks Are Present
as.im Convert to Pixel Image
concatxy Concatenate x,y Coordinate Vectors
im.object Class of Images
corners Corners of a rectangle
owin.object Class owin
subset.fv Extract Subset of Function Values
kaplan.meier Kaplan-Meier Estimator using Histogram Data
rpoint Generate N Random Points
print.ppp Print Brief Details of a Point Pattern Dataset
ppp Create a Point Pattern
diameter Diameter of a Window Frame
coef.ppm Coefficients of Fitted Point Process Model
Ord Generic Ord Interaction model
is.marked.ppp Test Whether A Point Pattern is Marked
cut.ppp Convert Point Pattern Marks from Numeric to Factor
bramblecanes Hutchings' Bramble Canes data
longleaf Longleaf Pines Point Pattern
rNeymanScott Simulate Neyman-Scott Process
rMaternI Simulate Matern Model I
eroded.areas Areas of Morphological Erosions
bdist.points Distance to Boundary of Window
fv.object Data Frames of Function Values
Gdot Multitype Nearest Neighbour Distance Function (i-to-any)
pcf Pair Correlation Function
bounding.box Bounding Box of a Window
Jcross Multitype J Function (i-to-j)
gridweights Compute Quadrature Weights Based on Grid Counts
rmh.default Simulate Point Process Models using the Metropolis-Hastings Algorithm.
Saturated Saturated Pairwise Interaction model
unmark Remove Marks from a Marked Point Pattern
rmh.ppm Simulate from a Fitted Point Process Model
nndist Nearest neighbour distances
shift.owin Apply Vector Translation To Window
Gcross Multitype Nearest Neighbour Distance Function (i-to-j)
mpl Fit Point Process Model by Maximum Pseudolikelihood
MultiStrauss The Multitype Strauss Point Process Model
quad.ppm Extract Quadrature Scheme Used to Fit a Point Process Model
fitted.ppm Fitted Conditional Intensity for Point Process Model
rotate.ppp Rotate a Point Pattern
Kdot Multitype K Function (i-to-any)
summary.ppp Summary of a Point Pattern Dataset
subset.im Extract Subset of Image
markcorr Mark Correlation Function
ganglia Cat Retinal Ganglia Data
runifpoint Generate N Uniform Random Points
ppp.object Class of Point Patterns
subset.ppp Extract Subset of Point Pattern
plot.ppp plot a Spatial Point Pattern
print.owin Print Brief Details of a Spatial Window
km.rs Kaplan-Meier and Reduced Sample Estimator using Histograms
update.ppm Update a Fitted Point Process Model
data.ppm Extract Original Data from a Fitted Point Process Model
gridcentres Rectangular grid of points
is.im Test Whether An Object Is A Pixel Image
stratrand Stratified random point pattern
plot.quad plot a Spatial Quadrature Scheme
as.rectangle Window Frame
plot.ppm plot a Fitted Point Process Model
rmpoint Generate N Random Multitype Points
summary.im Summarizing a Pixel Image
plot.fasp Plot a Function Array
union.quad Union of Data and Dummy Points
shift.ppp Apply Vector Translation To Point Pattern
ord.family Ord Interaction Process Family
rThomas Simulate Thomas Process
letterR Window in Shape of Letter R
quad.object Class of Quadrature Schemes
rMatClust Simulate Matern Cluster Process
redwoodfull California Redwoods Point Pattern (Entire Dataset)
ksmooth.ppp Kernel Smoothed Intensity of Point Pattern
rotate.owin Rotate a Window
intersect.owin Intersection or Union of Two Windows
spatstat-internal Internal spatstat functions
subset.fasp Extract Subset of Function Array
raster.x Cartesian Coordinates for a Pixel Raster
StraussHard The Strauss / Hard Core Point Process Model
shift.im Apply Vector Translation To Pixel Image
shift Apply Vector Translation
pairsat.family Saturated Pairwise Interaction Point Process Family
reduced.sample Reduced Sample Estimator using Histogram Data
quadscheme Generate a Quadrature Scheme from a Point Pattern
print.ppm Print a Fitted Point Process Model
rpoispp Generate Poisson Point Pattern
is.ppp Test Whether An Object Is A Point Pattern
rMaternII Simulate Matern Model II
swedishpines Swedish Pines Point Pattern
square Square Window
is.owin Test Whether An Object Is A Window
spatstat.options Internal Options in Spatstat Package
plot.owin Plot a Spatial Window
dummy.ppm Extract Dummy Points Used to Fit a Point Process Model
ripras Estimate window from points alone
nearest.raster.point Find Pixel Nearest to a Given Point
summary.quad Summarizing a Quadrature Scheme
simdat Simulated Point Pattern
rotate Rotate
rmpoispp Generate Multitype Poisson Point Pattern
plot.fv Plot Function Valuesn
pairdist Pairwise distances
rSSI Simple Sequential Inhibition
default.dummy Generate a Default Pattern of Dummy Points
summary.ppm Summarizing a Fitted Point Process Model
pairwise.family Pairwise Interaction Process Family
redwood California Redwoods Point Pattern (Ripley's Subset)
rmh Simulate point patterns using the Metropolis-Hastings algorithm.
summary.owin Summary of a Spatial Window
spokes Spokes pattern of dummy points
Kinhom Inhomogeneous K-function
is.ppm Test Whether An Object Is A Fitted Point Process Model
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Date 27 January 2004
License GPL version 2 or newer
URL http://www.maths.uwa.edu.au/~adrian/spatstat.html

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