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spatstat (version 1.0-1)
Analysis of spatial point patterns
Description
data analysis and modelling of two-dimensional point patterns, including multitype points and spatial covariates
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Install
install.packages('spatstat')
Monthly Downloads
16,608
Version
1.0-1
License
GPL version 2 or newer
Maintainer
Adrian Baddeley
Last Published
August 8th, 2001
Functions in spatstat (1.0-1)
Search functions
MultiStraussHard
The Multitype/Hard Core Strauss Point Process Model
as.ppp
Convert Data To Class ppp
Ord
Generic Ord Interaction model
Gmulti
Marked Nearest Neighbour Distance Function
affine
Apply Affine Transformation
plot.fasp
Plot a Function Array
Pairwise
Generic Pairwise Interaction model
rotate.ppp
Rotate a Point Pattern
Kdot
Multitype K Function (i-to-any)
eroded.areas
Areas of Morphological Erosions
erode.owin
Erode a Window
MultiStrauss
The Multitype Strauss Point Process Model
rMatClust
Simulate Matern Cluster Process
print.ppm
Print a Fitted Point Process Model
inside.owin
Test Whether Points Are Inside A Window
alltypes
Calculate Statistic for All Types in a Multitype Point Pattern
rpoispp
Generate Poisson Point Pattern
lansing
Lansing Woods Point Pattern
runifpoint
Generate N Uniform Random Points
subset.ppp
Extract Subset of Point Pattern
Gcross
Multitype Nearest Neighbour Distance Function (i-to-j)
Kest
K-function
owin.object
Class owin
kmrs
Kaplan-Meier and Reduced Sample Estimator using Histograms
diameter
Diameter of a Window Frame
demopat
Artificial Data Point Pattern
pcf
Pair Correlation Function
plot.ppp
plot a Spatial Point Pattern
Softcore
The Soft Core Point Process Model
shift
Apply Vector Translation
affine.owin
Apply Affine Transformation To Window
Saturated
Saturated Pairwise Interaction model
ppm.object
Class of Fitted Point Process Models
shift.ppp
Apply Vector Translation To Point Pattern
stratrand
Stratified random point pattern
Gdot
Multitype Nearest Neighbour Distance Function (i-to-any)
catWaessle
Cat Retina Data
rotate
Rotate
Geyer
Geyer's Saturation Point Process Model
Poisson
Poisson Point Process Model
ppp
Create a Point Pattern
union.quad
Union of Data and Dummy Points
Strauss
The Strauss Point Process Model
bramblecanes
Hutchings' Bramble Canes data
unmark
Remove Marks from a Marked Point Pattern
bounding.box
Bounding Box of a Window
bdist.points
Distance to Boundary of Window
gridweights
Compute Quadrature Weights Based on Grid Counts
longleaf
Longleaf Pines Point Pattern
raster.x
Cartesian Coordinates for a Pixel Raster
concatxy
Concatenate x,y Coordinate Vectors
Jdot
Multitype J Function (i-to-any)
Jcross
Multitype J Function (i-to-j)
conspire
Plot Together According to a Formula
mpl
Fit Point Process Model by Maximum Pseudolikelihood
subset.fasp
Extract Subset of Function Array
plot.owin
Plot a Spatial Window
pairsat.family
Saturated Pairwise Interaction Point Process Family
superimpose
Superimpose Several Point Patterns
spokes
Spokes pattern of dummy points
owin
Create a Window
quad.object
Class of Quadrature Schemes
bdist.pixels
Distance to Boundary of Window
affine.ppp
Apply Affine Transformation To Point Pattern
Kinhom
Inhomogeneous K-function
catHughes
Hughes' Cat Retina Data
allstats
Calculate four standard summary functions of a point pattern.
ppp.object
Class of Point Patterns
reduced.sample
Reduced Sample Estimator using Histogram Data
rotate.owin
Rotate a Window
shift.owin
Apply Vector Translation To Window
rNeymanScott
Simulate Neyman-Scott Process
spatstat-internal
Internal spatstat functions
StraussHard
The Strauss / Hard Core Point Process Model
Jest
Estimate the J-function
redwood
California Redwoods Point Pattern
kaplan.meier
Kaplan-Meier Estimator using Histogram Data
fasp.object
Function Arrays for Spatial Patterns
as.mask
Pixel Image Approximation of a Window
as.owin
Convert Data To Class owin
quadscheme
Generate a Quadrature Scheme from a Point Pattern
Gest
Nearest Neighbour Distance Function G
Jmulti
Marked J Function
Kmulti
Marked K-Function
rMaternII
Simulate Matern Model II
simdat
Simulated Point Pattern
rSSI
Simple Sequential Inhibition
predict.ppm
Prediction from a Fitted Point Process Model
dirichlet.weights
Compute Quadrature Weights Based on Dirichlet Tessellation
rmh
Simulate point patterns using the Metropolis-Hastings algorithm.
as.rectangle
Window Frame
rMaternI
Simulate Matern Model I
cells
Biological Cells Point Pattern
default.dummy
Generate a Default Pattern of Dummy Points
pairwise.family
Pairwise Interaction Process Family
plot.ppm
plot a Fitted Point Process Model
gridcentres
Rectangular grid of points
nztrees
New Zealand Trees Point Pattern
Fest
Estimate the empty space function F
Kcross
Multitype K Function (Cross-type)
area.owin
Area of a Window
nearest.raster.point
Find Pixel Nearest to a Given Point
swedishpines
Swedish Pines Point Pattern
rThomas
Simulate Thomas Process
PairPiece
The Piecewise Constant Pairwise Interaction Point Process Model
OrdThresh
Ord's Interaction model
complement.owin
Take Complement of a Window
corners
Corners of a rectangle
ord.family
Ord Interaction Process Family