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spatstat (version 1.1-3)
Analysis of spatial point patterns
Description
Data analysis, model fitting and simulation of two-dimensional point patterns, including multitype/marked points and spatial covariates
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Install
install.packages('spatstat')
Monthly Downloads
17,668
Version
1.1-3
License
GPL version 2 or newer
Maintainer
Adrian Baddeley
Last Published
March 22nd, 2025
Functions in spatstat (1.1-3)
Search all functions
Geyer
Geyer's Saturation Point Process Model
as.owin
Convert Data To Class owin
corners
Corners of a rectangle
erode.owin
Erode a Window
kmrs
Kaplan-Meier and Reduced Sample Estimator using Histograms
gridweights
Compute Quadrature Weights Based on Grid Counts
Jcross
Multitype J Function (i-to-j)
MultiStrauss
The Multitype Strauss Point Process Model
Gest
Nearest Neighbour Distance Function G
as.ppp
Convert Data To Class ppp
complement.owin
Take Complement of a Window
kaplan.meier
Kaplan-Meier Estimator using Histogram Data
owin.object
Class owin
rMaternI
Simulate Matern Model I
Softcore
The Soft Core Point Process Model
gridcentres
Rectangular grid of points
ganglia
Cat Retinal Ganglia Data
markcorr
Mark Correlation Function
Fest
Estimate the empty space function F
MultiStraussHard
The Multitype/Hard Core Strauss Point Process Model
Strauss
The Strauss Point Process Model
PairPiece
The Piecewise Constant Pairwise Interaction Point Process Model
bdist.points
Distance to Boundary of Window
eroded.areas
Areas of Morphological Erosions
area.owin
Area of a Window
diameter
Diameter of a Window Frame
quadscheme
Generate a Quadrature Scheme from a Point Pattern
spatstat-internal
Internal spatstat functions
unmark
Remove Marks from a Marked Point Pattern
pairsat.family
Saturated Pairwise Interaction Point Process Family
redwoodfull
California Redwoods Point Pattern (Entire Dataset)
ppp.object
Class of Point Patterns
rotate.ppp
Rotate a Point Pattern
runifpoint
Generate N Uniform Random Points
DiggleGratton
Diggle-Gratton model
affine.ppp
Apply Affine Transformation To Point Pattern
owin
Create a Window
bramblecanes
Hutchings' Bramble Canes data
Gmulti
Marked Nearest Neighbour Distance Function
allstats
Calculate four standard summary functions of a point pattern.
Kinhom
Inhomogeneous K-function
inside.owin
Test Whether Points Are Inside A Window
nearest.raster.point
Find Pixel Nearest to a Given Point
Ord
Generic Ord Interaction model
superimpose
Superimpose Several Point Patterns
ppm.object
Class of Fitted Point Process Models
rotate
Rotate
rNeymanScott
Simulate Neyman-Scott Process
ppp
Create a Point Pattern
hamster
Aherne's hamster tumour data
Pairwise
Generic Pairwise Interaction model
shift.ppp
Apply Vector Translation To Point Pattern
plot.ppm
plot a Fitted Point Process Model
cut.ppp
Convert Point Pattern Marks from Numeric to Factor
pcf
Pair Correlation Function
print.ppm
Print a Fitted Point Process Model
rMatClust
Simulate Matern Cluster Process
shift
Apply Vector Translation
fasp.object
Function Arrays for Spatial Patterns
subset.ppp
Extract Subset of Point Pattern
dirichlet.weights
Compute Quadrature Weights Based on Dirichlet Tessellation
StraussHard
The Strauss / Hard Core Point Process Model
alltypes
Calculate Statistic for All Types in a Multitype Point Pattern
ord.family
Ord Interaction Process Family
plot.fasp
Plot a Function Array
rotate.owin
Rotate a Window
spokes
Spokes pattern of dummy points
Kdot
Multitype K Function (i-to-any)
OrdThresh
Ord's Interaction model
Kest
K-function
Jdot
Multitype J Function (i-to-any)
demopat
Artificial Data Point Pattern
affine.owin
Apply Affine Transformation To Window
nztrees
New Zealand Trees Point Pattern
amacrine
Hughes' Amacrine Cell Data
bounding.box
Bounding Box of a Window
reduced.sample
Reduced Sample Estimator using Histogram Data
subset.fasp
Extract Subset of Function Array
union.quad
Union of Data and Dummy Points
stratrand
Stratified random point pattern
swedishpines
Swedish Pines Point Pattern
ripras
Estimate window from points alone
as.mask
Pixel Image Approximation of a Window
rMaternII
Simulate Matern Model II
raster.x
Cartesian Coordinates for a Pixel Raster
conspire
Plot Together According to a Formula
rSSI
Simple Sequential Inhibition
pairwise.family
Pairwise Interaction Process Family
Jmulti
Marked J Function
Poisson
Poisson Point Process Model
bdist.pixels
Distance to Boundary of Window
as.rectangle
Window Frame
concatxy
Concatenate x,y Coordinate Vectors
plot.ppp
plot a Spatial Point Pattern
redwood
California Redwoods Point Pattern (Ripley's Subset)
Kmulti
Marked K-Function
default.dummy
Generate a Default Pattern of Dummy Points
lansing
Lansing Woods Point Pattern
longleaf
Longleaf Pines Point Pattern
rpoispp
Generate Poisson Point Pattern
rThomas
Simulate Thomas Process
cells
Biological Cells Point Pattern
Saturated
Saturated Pairwise Interaction model
mpl
Fit Point Process Model by Maximum Pseudolikelihood
quad.object
Class of Quadrature Schemes
simdat
Simulated Point Pattern
Jest
Estimate the J-function
Kcross
Multitype K Function (Cross-type)
rmh
Simulate point patterns using the Metropolis-Hastings algorithm.
affine
Apply Affine Transformation
centroid.owin
Centroid of a window
Gcross
Multitype Nearest Neighbour Distance Function (i-to-j)
Gdot
Multitype Nearest Neighbour Distance Function (i-to-any)
plot.owin
Plot a Spatial Window
predict.ppm
Prediction from a Fitted Point Process Model
shift.owin
Apply Vector Translation To Window