Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (3.5-1) of this package.
Take me there.
spatstat (version 1.6-12)
Spatial Point Pattern analysis, model-fitting and simulation
Description
Spatial Point Pattern data analysis, modelling and simulation including multitype/marked points and spatial covariates
Copy Link
Link to current version
Version
Version
3.5-1
3.5-0
3.4-1
3.4-0
3.3-3
3.3-1
3.3-0
3.2-1
3.1-1
3.0-8
3.0-7
3.0-6
3.0-5
3.0-3
3.0-2
2.3-4
2.3-3
2.3-0
2.2-0
2.1-0
2.0-1
1.64-1
1.63-3
1.63-2
1.63-0
1.62-2
1.61-0
1.60-1
1.59-0
1.58-2
1.57-1
1.56-1
1.56-0
1.55-1
1.55-0
1.54-0
1.53-2
1.52-1
1.51-0
1.49-0
1.48-0
1.47-0
1.46-1
1.45-2
1.45-0
1.44-1
1.44-0
1.43-0
1.42-2
1.42-1
1.42-0
1.41-1
1.40-0
1.39-1
1.39-0
1.38-1
1.38-0
1.37-0
1.36-0
1.35-0
1.34-1
1.34-0
1.33-0
1.32-0
1.31-3
1.31-2
1.31-1.1
1.31-0
1.30-0
1.29-0
1.28-2
1.28-1
1.28-0
1.27-0
1.26-1
1.26-0
1.25-5
1.25-4
1.25-3
1.25-2
1.25-1
1.25-0
1.24-2
1.24-1
1.23-6
1.23-5
1.23-4
1.23-3
1.23-2
1.23-1
1.23-0
1.22-3
1.22-2
1.22-1
1.22-0
1.21-6
1.21-5.1
1.21-4
1.21-3
1.21-2
1.21-1
1.21-0
1.20-5
1.20-3
1.20-2
1.20-1
1.19-3
1.19-2
1.19-1
1.19-0
1.18-4
1.18-3
1.18-2
1.18-1
1.18-0
1.17-6
1.17-5
1.17-4
1.17-2
1.17-1
1.17-0
1.16-3
1.16-2
1.16-1
1.16-0
1.15-4
1.15-3
1.15-2
1.15-1
1.15-0
1.14-10
1.14-9
1.14-8
1.14-7
1.14-6
1.14-5
1.14-4
1.14-3
1.14-2
1.14-1
1.14-0
1.13-4
1.13-3
1.13-2
1.13-1
1.13-0
1.12-9
1.12-8
1.12-7
1.12-6
1.12-5
1.12-4
1.12-3
1.12-2
1.12-1
1.12-0
1.11-8
1.11-7
1.11-6
1.11-5
1.11-4
1.11-3
1.11-2
1.11-1
1.11-0
1.10-3
1.10-2
1.10-1
1.9-6
1.9-5
1.9-4
1.9-3
1.9-2
1.9-1
1.9-0
1.8-9
1.8-8
1.8-7
1.8-6
1.8-5
1.8-4
1.8-3
1.8-2
1.8-1
1.7-13
1.7-12
1.7-11
1.6-12
1.6-11
1.6-9
1.6-8
1.6-7
1.6-6
1.6-5
1.6-4
1.6-3
1.6-2
1.6-1
1.5-10
1.5-9
1.5-8
1.5-7
1.5-6
1.5-5
1.5-4
1.5-3
1.5-1
1.4-6
1.4-5
1.4-4
1.4-3
1.3-4
1.3-3
1.3-2
1.3-1
1.2-1
1.1-3
1.0-1
Install
install.packages('spatstat')
Monthly Downloads
22,386
Version
1.6-12
License
GPL version 2 or newer
Maintainer
Adrian Baddeley
Last Published
February 1st, 2026
Functions in spatstat (1.6-12)
Search all functions
ganglia
Beta Ganglion Cells in Cat Retina, Old Version
Softcore
The Soft Core Point Process Model
affine
Apply Affine Transformation
compatible.im
Test Whether Two Pixel Images Are Compatible
qqplot.ppm
Q-Q Plot of Residuals from Fitted Point Process Model
diagnose.ppm
Diagnostic Plots for Fitted Point Process Model
fv.object
Data Frames of Function Values
amacrine
Hughes' Amacrine Cell Data
Strauss
The Strauss Point Process Model
Gcross
Multitype Nearest Neighbour Distance Function (i-to-j)
affine.ppp
Apply Affine Transformation To Point Pattern
Kcross
Multitype K Function (Cross-type)
OrdThresh
Ord's Interaction model
Poisson
Poisson Point Process Model
nearest.raster.point
Find Pixel Nearest to a Given Point
as.im
Convert to Pixel Image
bounding.box
Bounding Box of a Window
affine.owin
Apply Affine Transformation To Window
spatstat-deprecated
Deprecated spatstat functions
ants
Harkness-Isham ants' nests data
eroded.areas
Areas of Morphological Erosions
crossdist
Pairwise distances between two different point patterns
nztrees
New Zealand Trees Point Pattern
Kest
K-function
quadratcount
Quadrat counting for a point pattern
is.ppp
Test Whether An Object Is A Point Pattern
allstats
Calculate four standard summary functions of a point pattern.
gridcentres
Rectangular grid of points
redwood
California Redwoods Point Pattern (Ripley's Subset)
Gest
Nearest Neighbour Distance Function G
intersect.owin
Intersection or Union of Two Windows
pairdist
Pairwise distances
nndist
Nearest neighbour distances
summary.quad
Summarizing a Quadrature Scheme
summary.im
Summarizing a Pixel Image
complement.owin
Take Complement of a Window
lurking
Lurking variable plot
Jcross
Multitype J Function (i-to-j)
print.quad
Print a Quadrature Scheme
Fest
Estimate the empty space function F
humberside
Humberside Data on Childhood Leukaemia and Lymphoma
quad.object
Class of Quadrature Schemes
concatxy
Concatenate x,y Coordinate Vectors
Kmeasure
Reduced Second Moment Measure
data.ppm
Extract Original Data from a Fitted Point Process Model
residualspaper
Data and Code From JRSS Discussion Paper on Residuals
bramblecanes
Hutchings' Bramble Canes data
applynbd
Apply Function to Every Neighbourhood in a Point Pattern
rMaternI
Simulate Matern Model I
Jest
Estimate the J-function
gridweights
Compute Quadrature Weights Based on Grid Counts
plot.owin
Plot a Spatial Window
shift.owin
Apply Vector Translation To Window
rNeymanScott
Simulate Neyman-Scott Process
is.subset.owin
Determine Whether One Window is Contained In Another
ppp
Create a Point Pattern
unmark
Remove Marks from a Marked Point Pattern
rotate.ppp
Rotate a Point Pattern
as.ppp
Convert Data To Class ppp
distmap
Distance Map
stratrand
Stratified random point pattern
coef.ppm
Coefficients of Fitted Point Process Model
alltypes
Calculate Statistic for All Types in a Multitype Point Pattern
plot.fv
Plot Function Valuesn
quadscheme
Generate a Quadrature Scheme from a Point Pattern
Gmulti
Marked Nearest Neighbour Distance Function
centroid.owin
Centroid of a window
rMaternII
Simulate Matern Model II
cells
Biological Cells Point Pattern
subset.fasp
Extract Subset of Function Array
rotate.owin
Rotate a Window
pcf.fasp
Pair Correlation Function obtained from array of K functions
corners
Corners of a rectangle
kaplan.meier
Kaplan-Meier Estimator using Histogram Data
print.im
Print Brief Details of an Image
area.owin
Area of a Window
fitted.ppm
Fitted Conditional Intensity for Point Process Model
distmap.ppp
Distance Map of Point Pattern
demopat
Artificial Data Point Pattern
Geyer
Geyer's Saturation Point Process Model
residuals.ppm
Residuals for Fitted Point Process Model
shift.ppp
Apply Vector Translation To Point Pattern
rpoint
Generate N Random Points
Ord
Generic Ord Interaction model
compatible.fv
Test Whether Two Function Objects Are Compatible
as.mask
Pixel Image Approximation of a Window
default.dummy
Generate a Default Pattern of Dummy Points
chorley
Chorley-Ribble Cancer Data
im.object
Class of Images
rmh.default
Simulate Point Process Models using the Metropolis-Hastings Algorithm.
Kdot
Multitype K Function (i-to-any)
spatstat-internal
Internal spatstat functions
LennardJones
The Lennard-Jones Potential
plot.ppp
plot a Spatial Point Pattern
rtoro
Random Toroidal Shift of Point Pattern
scanpp
Read Point Pattern From Data File
Jdot
Multitype J Function (i-to-any)
is.marked.ppm
Test Whether A Point Process Model is Marked
rpoispp
Generate Poisson Point Pattern
is.im
Test Whether An Object Is A Pixel Image
setmarks
Set or Reset the Marks in a Point Pattern
Jmulti
Marked J Function
Pairwise
Generic Pairwise Interaction model
MultiStraussHard
The Multitype/Hard Core Strauss Point Process Model
ppp.object
Class of Point Patterns
cut.ppp
Convert Point Pattern Marks from Numeric to Factor
hamster
Aherne's hamster tumour data
as.owin
Convert Data To Class owin
plot.im
Plot a Pixel Image
is.marked.ppp
Test Whether A Point Pattern is Marked
harmonic
Basis for Harmonic Functions
print.owin
Print Brief Details of a Spatial Window
owin.object
Class owin
japanesepines
Japanese Pines Point Pattern
ppm
Fit Point Process Model to Data
bdist.points
Distance to Boundary of Window
Gdot
Multitype Nearest Neighbour Distance Function (i-to-any)
pairwise.family
Pairwise Interaction Process Family
is.owin
Test Whether An Object Is A Window
spatstat.options
Internal Options in Spatstat Package
dirichlet.weights
Compute Quadrature Weights Based on Dirichlet Tessellation
reduced.sample
Reduced Sample Estimator using Histogram Data
identify.ppp
Identify Points in a Point Pattern
inside.owin
Test Whether Points Are Inside A Window
owin
Create a Window
dummy.ppm
Extract Dummy Points Used to Fit a Point Process Model
eem
Exponential Energy Marks
pairsat.family
Saturated Pairwise Interaction Point Process Family
rotate
Rotate
Kest.fft
K-function using FFT
pcf.fv
Pair Correlation Function obtained from K Function
rmh.ppm
Simulate from a Fitted Point Process Model
plot.splitppp
Plot a List of Point Patterns
Kmulti
Marked K-Function
markcorr
Mark Correlation Function
is.ppm
Test Whether An Object Is A Fitted Point Process Model
summary.ppp
Summary of a Point Pattern Dataset
summary.ppm
Summarizing a Fitted Point Process Model
markstat
Summarise Marks in Every Neighbourhood in a Point Pattern
plot.plotppm
Plot a plotppm Object Created by plot.ppm
letterR
Window in Shape of Letter R
plot.ppm
plot a Fitted Point Process Model
erode.owin
Erode a Window
StraussHard
The Strauss / Hard Core Point Process Model
rMatClust
Simulate Matern Cluster Process
eval.fv
Evaluate Expression Involving Functions
quad.ppm
Extract Quadrature Scheme Used to Fit a Point Process Model
ppm.object
Class of Fitted Point Process Models
rThomas
Simulate Thomas Process
rSSI
Simple Sequential Inhibition
spruces
Spruces Point Pattern
longleaf
Longleaf Pines Point Pattern
reach
Interaction Distance of a Point Process
plot.fasp
Plot a Function Array
shift
Apply Vector Translation
suffstat
Sufficient Statistic of Point Process Model
envelope
Simulation envelopes of summary function
rescue.rectangle
Convert Window Back To Rectangle
anova.ppm
ANOVA for Fitted Point Process Models
print.ppm
Print a Fitted Point Process Model
raster.x
Cartesian Coordinates for a Pixel Raster
im
Create a Pixel Image Object
redwoodfull
California Redwoods Point Pattern (Entire Dataset)
copper
Berman-Huntington points and lines data
spatstat
The Spatstat Package
fasp.object
Function Arrays for Spatial Patterns
is.marked
Test Whether Marks Are Present
summary.owin
Summary of a Spatial Window
square
Square Window
ord.family
Ord Interaction Process Family
rmh
Simulate point patterns using the Metropolis-Hastings algorithm.
km.rs
Kaplan-Meier and Reduced Sample Estimator using Histograms
pcf.ppp
Pair Correlation Function of Point Pattern
MultiStrauss
The Multitype Strauss Point Process Model
rmhstart
Determine Initial State for Metropolis-Hastings Simulation.
Iest
Estimate the I-function
betacells
Beta Ganglion Cells in Cat Retina
distmap.owin
Distance Map of Window
DiggleGratton
Diggle-Gratton model
plot.quad
plot a Spatial Quadrature Scheme
PairPiece
The Piecewise Constant Pairwise Interaction Point Process Model
ksmooth.ppp
Kernel Smoothed Intensity of Point Pattern
shift.im
Apply Vector Translation To Pixel Image
Kinhom
Inhomogeneous K-function
pcf
Pair Correlation Function
subset.fv
Extract Subset of Function Values
finpines
Pine saplings in Finland.
as.rectangle
Window Frame
Saturated
Saturated Pairwise Interaction model
print.ppp
Print Brief Details of a Point Pattern Dataset
rmpoint
Generate N Random Multitype Points
superimpose
Superimpose Several Point Patterns
rmpoispp
Generate Multitype Poisson Point Pattern
rmhcontrol
Set Control Parameters for Metropolis-Hastings Algorithm.
subset.ppp
Extract or Replace Subset of Point Pattern
bdist.pixels
Distance to Boundary of Window
diameter
Diameter of a Window Frame
simdat
Simulated Point Pattern
ripras
Estimate window from points alone
eval.im
Evaluate Expression Involving Pixel Images
runifpoint
Generate N Uniform Random Points
rmhmodel
Define Point Process Model for Metropolis-Hastings Simulation.
lansing
Lansing Woods Point Pattern
spokes
Spokes pattern of dummy points
update.ppm
Update a Fitted Point Process Model
split.ppp
Divide Point Pattern into Sub-patterns
expand.owin
Expand Window By Factor
predict.ppm
Prediction from a Fitted Point Process Model
rlabel
Random Re-Labelling of Point Pattern
setcov
Set Covariance of a Window
union.quad
Union of Data and Dummy Points
subset.im
Extract Subset of Image
swedishpines
Swedish Pines Point Pattern