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spatstat (version 1.7-12)
Spatial Point Pattern analysis, model-fitting and simulation
Description
Spatial Point Pattern data analysis, modelling and simulation including multitype/marked points and spatial covariates
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Install
install.packages('spatstat')
Monthly Downloads
17,668
Version
1.7-12
License
GPL version 2 or newer
Maintainer
Adrian Baddeley
Last Published
March 22nd, 2025
Functions in spatstat (1.7-12)
Search all functions
amacrine
Hughes' Amacrine Cell Data
alltypes
Calculate Statistic for All Types in a Multitype Point Pattern
LennardJones
The Lennard-Jones Potential
area.owin
Area of a Window
Geyer
Geyer's Saturation Point Process Model
Fest
Estimate the empty space function F
Gdot
Multitype Nearest Neighbour Distance Function (i-to-any)
complement.owin
Take Complement of a Window
Pairwise
Generic Pairwise Interaction model
as.mask
Pixel Image Approximation of a Window
crossdist
Pairwise distances between two different point patterns
quad.ppm
Extract Quadrature Scheme Used to Fit a Point Process Model
Kdot
Multitype K Function (i-to-any)
cells
Biological Cells Point Pattern
Jmulti
Marked J Function
DiggleGratton
Diggle-Gratton model
plot.plotppm
Plot a plotppm Object Created by plot.ppm
Jest
Estimate the J-function
applynbd
Apply Function to Every Neighbourhood in a Point Pattern
is.ppp
Test Whether An Object Is A Point Pattern
as.ppp
Convert Data To Class ppp
Kcross
Multitype K Function (Cross-type)
Gmulti
Marked Nearest Neighbour Distance Function
PairPiece
The Piecewise Constant Pairwise Interaction Point Process Model
MultiStraussHard
The Multitype/Hard Core Strauss Point Process Model
Kest
K-function
Iest
Estimate the I-function
chorley
Chorley-Ribble Cancer Data
affine
Apply Affine Transformation
eroded.areas
Areas of Morphological Erosions
bounding.box
Bounding Box of a Window
Kmulti
Marked K-Function
cut.ppp
Convert Point Pattern Marks from Numeric to Factor
ppm.object
Class of Fitted Point Process Models
nztrees
New Zealand Trees Point Pattern
Softcore
The Soft Core Point Process Model
affine.ppp
Apply Affine Transformation To Point Pattern
residuals.ppm
Residuals for Fitted Point Process Model
Ord
Generic Ord Interaction model
as.rectangle
Window Frame
pcf
Pair Correlation Function
plot.splitppp
Plot a List of Point Patterns
Jcross
Multitype J Function (i-to-j)
plot.fv
Plot Function Valuesn
pairdist
Pairwise distances
Kest.fft
K-function using FFT
quad.object
Class of Quadrature Schemes
anova.ppm
ANOVA for Fitted Point Process Models
distmap.owin
Distance Map of Window
longleaf
Longleaf Pines Point Pattern
diameter
Diameter of a Window Frame
compatible.im
Test Whether Two Pixel Images Are Compatible
Strauss
The Strauss Point Process Model
rmpoint
Generate N Random Multitype Points
bramblecanes
Hutchings' Bramble Canes data
humberside
Humberside Data on Childhood Leukaemia and Lymphoma
distmap
Distance Map
rpoint
Generate N Random Points
plot.owin
Plot a Spatial Window
predict.ppm
Prediction from a Fitted Point Process Model
markstat
Summarise Marks in Every Neighbourhood in a Point Pattern
ganglia
Beta Ganglion Cells in Cat Retina, Old Version
identify.ppp
Identify Points in a Point Pattern
markcorr
Mark Correlation Function
Gcross
Multitype Nearest Neighbour Distance Function (i-to-j)
nearest.raster.point
Find Pixel Nearest to a Given Point
copper
Berman-Huntington points and lines data
ppp.object
Class of Point Patterns
concatxy
Concatenate x,y Coordinate Vectors
gridweights
Compute Quadrature Weights Based on Grid Counts
OrdThresh
Ord's Interaction model
finpines
Pine saplings in Finland.
allstats
Calculate four standard summary functions of a point pattern.
fasp.object
Function Arrays for Spatial Patterns
corners
Corners of a rectangle
StraussHard
The Strauss / Hard Core Point Process Model
pcf.ppp
Pair Correlation Function of Point Pattern
Kinhom
Inhomogeneous K-function
Poisson
Poisson Point Process Model
stratrand
Stratified random point pattern
affine.owin
Apply Affine Transformation To Window
MultiStrauss
The Multitype Strauss Point Process Model
Gest
Nearest Neighbour Distance Function G
is.marked.ppm
Test Whether A Point Process Model is Marked
Saturated
Saturated Pairwise Interaction model
spatstat-deprecated
Deprecated spatstat functions
default.dummy
Generate a Default Pattern of Dummy Points
data.ppm
Extract Original Data from a Fitted Point Process Model
pairwise.family
Pairwise Interaction Process Family
im.object
Class of Images
Jdot
Multitype J Function (i-to-any)
dummy.ppm
Extract Dummy Points Used to Fit a Point Process Model
is.im
Test Whether An Object Is A Pixel Image
is.marked
Test Whether Marks Are Present
is.owin
Test Whether An Object Is A Window
eval.im
Evaluate Expression Involving Pixel Images
harmonic
Basis for Harmonic Functions
ants
Harkness-Isham ants' nests data
lansing
Lansing Woods Point Pattern
as.im
Convert to Pixel Image
bdist.pixels
Distance to Boundary of Window
pairsat.family
Saturated Pairwise Interaction Point Process Family
envelope
Simulation envelopes of summary function
eem
Exponential Energy Marks
is.subset.owin
Determine Whether One Window is Contained In Another
distmap.ppp
Distance Map of Point Pattern
eval.fv
Evaluate Expression Involving Functions
inside.owin
Test Whether Points Are Inside A Window
rtoro
Random Toroidal Shift of Point Pattern
as.owin
Convert Data To Class owin
Kmeasure
Reduced Second Moment Measure
subset.fv
Extract Subset of Function Values
pcf.fasp
Pair Correlation Function obtained from array of K functions
is.ppm
Test Whether An Object Is A Fitted Point Process Model
unmark
Remove Marks from a Marked Point Pattern
coef.ppm
Coefficients of Fitted Point Process Model
expand.owin
Expand Window By Factor
letterR
Window in Shape of Letter R
setmarks
Set or Reset the Marks in a Point Pattern
bdist.points
Distance to Boundary of Window
rotate
Rotate
japanesepines
Japanese Pines Point Pattern
subset.ppp
Extract or Replace Subset of Point Pattern
hamster
Aherne's hamster tumour data
centroid.owin
Centroid of a window
rlabel
Random Re-Labelling of Point Pattern
erode.owin
Erode a Window
suffstat
Sufficient Statistic of Point Process Model
fv.object
Data Frames of Function Values
ripras
Estimate window from points alone
rmhmodel
Define Point Process Model for Metropolis-Hastings Simulation.
im
Create a Pixel Image Object
diagnose.ppm
Diagnostic Plots for Fitted Point Process Model
kaplan.meier
Kaplan-Meier Estimator using Histogram Data
demopat
Artificial Data Point Pattern
intersect.owin
Intersection or Union of Two Windows
fitted.ppm
Fitted Conditional Intensity for Point Process Model
print.quad
Print a Quadrature Scheme
quadratcount
Quadrat counting for a point pattern
swedishpines
Swedish Pines Point Pattern
nndist
Nearest neighbour distances
redwoodfull
California Redwoods Point Pattern (Entire Dataset)
lurking
Lurking variable plot
shift.owin
Apply Vector Translation To Window
ppp
Create a Point Pattern
ksmooth.ppp
Kernel Smoothed Intensity of Point Pattern
is.marked.ppp
Test Whether A Point Pattern is Marked
compatible.fv
Test Whether Two Function Objects Are Compatible
setcov
Set Covariance of a Window
quadscheme
Generate a Quadrature Scheme from a Point Pattern
print.ppp
Print Brief Details of a Point Pattern Dataset
owin
Create a Window
rMaternII
Simulate Matern Model II
pcf.fv
Pair Correlation Function obtained from K Function
summary.ppm
Summarizing a Fitted Point Process Model
print.ppm
Print a Fitted Point Process Model
rpoispp
Generate Poisson Point Pattern
subset.im
Extract Subset of Image
plot.ppp
plot a Spatial Point Pattern
redwood
California Redwoods Point Pattern (Ripley's Subset)
dirichlet.weights
Compute Quadrature Weights Based on Dirichlet Tessellation
plot.quad
plot a Spatial Quadrature Scheme
reduced.sample
Reduced Sample Estimator using Histogram Data
superimpose
Superimpose Several Point Patterns
spatstat-internal
Internal spatstat functions
summary.owin
Summary of a Spatial Window
betacells
Beta Ganglion Cells in Cat Retina
gridcentres
Rectangular grid of points
shift
Apply Vector Translation
km.rs
Kaplan-Meier and Reduced Sample Estimator using Histograms
owin.object
Class owin
ppm
Fit Point Process Model to Data
rSSI
Simple Sequential Inhibition
qqplot.ppm
Q-Q Plot of Residuals from Fitted Point Process Model
rNeymanScott
Simulate Neyman-Scott Process
reach
Interaction Distance of a Point Process
ord.family
Ord Interaction Process Family
rMaternI
Simulate Matern Model I
summary.quad
Summarizing a Quadrature Scheme
rmhcontrol
Set Control Parameters for Metropolis-Hastings Algorithm.
rotate.owin
Rotate a Window
print.im
Print Brief Details of an Image
split.ppp
Divide Point Pattern into Sub-patterns
print.owin
Print Brief Details of a Spatial Window
plot.ppm
plot a Fitted Point Process Model
rotate.ppp
Rotate a Point Pattern
residualspaper
Data and Code From JRSS Discussion Paper on Residuals
rmh
Simulate point patterns using the Metropolis-Hastings algorithm.
rThomas
Simulate Thomas Process
shift.im
Apply Vector Translation To Pixel Image
rmh.ppm
Simulate from a Fitted Point Process Model
runifpoint
Generate N Uniform Random Points
plot.fasp
Plot a Function Array
raster.x
Cartesian Coordinates for a Pixel Raster
rmh.default
Simulate Point Process Models using the Metropolis-Hastings Algorithm.
plot.im
Plot a Pixel Image
square
Square Window
rescue.rectangle
Convert Window Back To Rectangle
rMatClust
Simulate Matern Cluster Process
union.quad
Union of Data and Dummy Points
rmhstart
Determine Initial State for Metropolis-Hastings Simulation.
rmpoispp
Generate Multitype Poisson Point Pattern
spatstat.options
Internal Options in Spatstat Package
simdat
Simulated Point Pattern
spatstat
The Spatstat Package
shift.ppp
Apply Vector Translation To Point Pattern
update.ppm
Update a Fitted Point Process Model
spruces
Spruces Point Pattern
scanpp
Read Point Pattern From Data File
subset.fasp
Extract Subset of Function Array
summary.ppp
Summary of a Point Pattern Dataset
summary.im
Summarizing a Pixel Image
spokes
Spokes pattern of dummy points