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Install
install.packages('spatstat')
Monthly Downloads
42,299
Version
1.4-5
License
GPL version 2 or newer
Maintainer
Adrian Baddeley
Last Published
March 24th, 2004
Functions in spatstat (1.4-5)
Search functions
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