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spatstat (version 1.3-3)
Analysis of spatial point patterns
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
17,593
Version
1.3-3
License
GPL version 2 or newer
Maintainer
Adrian Baddeley
Last Published
July 27th, 2003
Functions in spatstat (1.3-3)
Search functions
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