spatstat v1.4-5

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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
lansing Lansing Woods Point Pattern
centroid.owin Centroid of a window
Softcore The Soft Core Point Process Model
ksmooth.ppp Kernel Smoothed Intensity of Point Pattern
plot.owin Plot a Spatial Window
quad.object Class of Quadrature Schemes
concatxy Concatenate x,y Coordinate Vectors
diameter Diameter of a Window Frame
harmonic Basis for Harmonic Functions
fasp.object Function Arrays for Spatial Patterns
Kinhom Inhomogeneous K-function
cells Biological Cells Point Pattern
Strauss The Strauss Point Process Model
Fest Estimate the empty space function F
demopat Artificial Data Point Pattern
DiggleGratton Diggle-Gratton model
allstats Calculate four standard summary functions of a point pattern.
as.im Convert to Pixel Image
owin Create a Window
area.owin Area of a Window
Kest.fft K-function using FFT
is.marked.ppp Test Whether A Point Pattern is Marked
im.object Class of Images
Jcross Multitype J Function (i-to-j)
coef.ppm Coefficients of Fitted Point Process Model
fv.object Data Frames of Function Values
Kest K-function
Gdot Multitype Nearest Neighbour Distance Function (i-to-any)
intersect.owin Intersection or Union of Two Windows
data.ppm Extract Original Data from a Fitted Point Process Model
rotate Rotate
amacrine Hughes' Amacrine Cell Data
print.owin Print Brief Details of a Spatial Window
Kmeasure Reduced Second Moment Measure
bdist.pixels Distance to Boundary of Window
affine Apply Affine Transformation
bounding.box Bounding Box of a Window
nndist Nearest neighbour distances
letterR Window in Shape of Letter R
eroded.areas Areas of Morphological Erosions
fitted.ppm Fitted Conditional Intensity for Point Process Model
Gcross Multitype Nearest Neighbour Distance Function (i-to-j)
default.dummy Generate a Default Pattern of Dummy Points
ganglia Cat Retinal Ganglia Data
is.ppp Test Whether An Object Is A Point Pattern
Kcross Multitype K Function (Cross-type)
Geyer Geyer's Saturation Point Process Model
MultiStraussHard The Multitype/Hard Core Strauss Point Process Model
Gmulti Marked Nearest Neighbour Distance Function
im Create a Pixel Image Object
plot.fv Plot Function Valuesn
nearest.raster.point Find Pixel Nearest to a Given Point
Saturated Saturated Pairwise Interaction model
Ord Generic Ord Interaction model
ppm.object Class of Fitted Point Process Models
affine.ppp Apply Affine Transformation To Point Pattern
rpoint Generate N Random Points
bramblecanes Hutchings' Bramble Canes data
applynbd Apply Function to Every Neighbourhood in a Point Pattern
rotate.ppp Rotate a Point Pattern
km.rs Kaplan-Meier and Reduced Sample Estimator using Histograms
print.ppp Print Brief Details of a Point Pattern Dataset
is.ppm Test Whether An Object Is A Fitted Point Process Model
rThomas Simulate Thomas Process
shift.im Apply Vector Translation To Pixel Image
Jest Estimate the J-function
cut.ppp Convert Point Pattern Marks from Numeric to Factor
hamster Aherne's hamster tumour data
Kdot Multitype K Function (i-to-any)
rMatClust Simulate Matern Cluster Process
subset.fv Extract Subset of Function Values
dummy.ppm Extract Dummy Points Used to Fit a Point Process Model
corners Corners of a rectangle
Gest Nearest Neighbour Distance Function G
PairPiece The Piecewise Constant Pairwise Interaction Point Process Model
StraussHard The Strauss / Hard Core Point Process Model
mpl Fit Point Process Model by Maximum Pseudolikelihood
is.marked Test Whether Marks Are Present
complement.owin Take Complement of a Window
plot.ppp plot a Spatial Point Pattern
as.rectangle Window Frame
redwood California Redwoods Point Pattern (Ripley's Subset)
summary.ppm Summarizing a Fitted Point Process Model
Kmulti Marked K-Function
shift.ppp Apply Vector Translation To Point Pattern
Jdot Multitype J Function (i-to-any)
shift.owin Apply Vector Translation To Window
OrdThresh Ord's Interaction model
Jmulti Marked J Function
erode.owin Erode a Window
gridcentres Rectangular grid of points
owin.object Class owin
as.ppp Convert Data To Class ppp
gridweights Compute Quadrature Weights Based on Grid Counts
nztrees New Zealand Trees Point Pattern
LennardJones The Lennard-Jones Potential
markcorr Mark Correlation Function
affine.owin Apply Affine Transformation To Window
dirichlet.weights Compute Quadrature Weights Based on Dirichlet Tessellation
as.owin Convert Data To Class owin
ppp Create a Point Pattern
Pairwise Generic Pairwise Interaction model
bdist.points Distance to Boundary of Window
unmark Remove Marks from a Marked Point Pattern
rMaternI Simulate Matern Model I
rSSI Simple Sequential Inhibition
spatstat-internal Internal spatstat functions
as.mask Pixel Image Approximation of a Window
print.ppm Print a Fitted Point Process Model
rNeymanScott Simulate Neyman-Scott Process
print.quad Print a Quadrature Scheme
rmh.ppm Simulate from a Fitted Point Process Model
ripras Estimate window from points alone
inside.owin Test Whether Points Are Inside A Window
quadscheme Generate a Quadrature Scheme from a Point Pattern
runifpoint Generate N Uniform Random Points
update.ppm Update a Fitted Point Process Model
shift Apply Vector Translation
subset.im Extract Subset of Image
identify.ppp Identify Points in a Point Pattern
rotate.owin Rotate a Window
ppp.object Class of Point Patterns
summary.quad Summarizing a Quadrature Scheme
rpoispp Generate Poisson Point Pattern
print.im Print Brief Details of an Image
redwoodfull California Redwoods Point Pattern (Entire Dataset)
spokes Spokes pattern of dummy points
Poisson Poisson Point Process Model
rmh Simulate point patterns using the Metropolis-Hastings algorithm.
is.marked.ppm Test Whether A Point Process Model is Marked
is.im Test Whether An Object Is A Pixel Image
ord.family Ord Interaction Process Family
is.subset.owin Determine Whether One Window is Contained In Another
is.owin Test Whether An Object Is A Window
plot.ppm plot a Fitted Point Process Model
union.quad Union of Data and Dummy Points
longleaf Longleaf Pines Point Pattern
simdat Simulated Point Pattern
predict.ppm Prediction from a Fitted Point Process Model
pcf Pair Correlation Function
quad.ppm Extract Quadrature Scheme Used to Fit a Point Process Model
subset.fasp Extract Subset of Function Array
pairdist Pairwise distances
rmpoint Generate N Random Multitype Points
plot.fasp Plot a Function Array
rmh.default Simulate Point Process Models using the Metropolis-Hastings Algorithm.
summary.ppp Summary of a Point Pattern Dataset
kaplan.meier Kaplan-Meier Estimator using Histogram Data
superimpose Superimpose Several Point Patterns
plot.quad plot a Spatial Quadrature Scheme
spatstat.options Internal Options in Spatstat Package
swedishpines Swedish Pines Point Pattern
reduced.sample Reduced Sample Estimator using Histogram Data
rmpoispp Generate Multitype Poisson Point Pattern
pairsat.family Saturated Pairwise Interaction Point Process Family
rMaternII Simulate Matern Model II
stratrand Stratified random point pattern
raster.x Cartesian Coordinates for a Pixel Raster
square Square Window
summary.im Summarizing a Pixel Image
alltypes Calculate Statistic for All Types in a Multitype Point Pattern
MultiStrauss The Multitype Strauss Point Process Model
pairwise.family Pairwise Interaction Process Family
subset.ppp Extract Subset of Point Pattern
summary.owin Summary of a Spatial Window
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Date 25 March 2004
License GPL version 2 or newer
URL http://www.maths.uwa.edu.au/~adrian/spatstat.html

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