spatstat v1.1-3

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by Adrian Baddeley

Analysis of spatial point patterns

Data analysis, model fitting and simulation of two-dimensional point patterns, including multitype/marked points and spatial covariates

Functions in spatstat

Name Description
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
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