spatstat v1.3-3

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