spatstat v1.3-1


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by Adrian Baddeley

Analysis of spatial point patterns

Spatial Point Pattern data analysis, modelling and simulation including multitype/marked points and spatial covariates

Functions in spatstat

Name Description
applynbd Apply Function to Every Neighbourhood in a Point Pattern
Kmulti Marked K-Function
Kinhom Inhomogeneous K-function
OrdThresh Ord's Interaction model
spatstat-internal Internal spatstat functions
plot.owin Plot a Spatial Window
PairPiece The Piecewise Constant Pairwise Interaction Point Process Model
Kcross Multitype K Function (Cross-type)
cut.ppp Convert Point Pattern Marks from Numeric to Factor
Gmulti Marked Nearest Neighbour Distance Function
print.ppp Print Brief Details of a Point Pattern Dataset
affine Apply Affine Transformation
ganglia Cat Retinal Ganglia Data
spokes Spokes pattern of dummy points
kaplan.meier Kaplan-Meier Estimator using Histogram Data
affine.ppp Apply Affine Transformation To Point Pattern
Fest Estimate the empty space function F
plot.ppm plot a Fitted Point Process Model
corners Corners of a rectangle
Jdot Multitype J Function (i-to-any)
owin.object Class owin Saturated Pairwise Interaction Point Process Family
as.rectangle Window Frame
plot.ppp plot a Spatial Point Pattern
Kmeasure Reduced Second Moment Measure Pairwise Interaction Process Family
unmark Remove Marks from a Marked Point Pattern
pcf Pair Correlation Function
nndist Nearest neighbour distances
kmrs Kaplan-Meier and Reduced Sample Estimator using Histograms
area.owin Area of a Window
mpl Fit Point Process Model by Maximum Pseudolikelihood
ppm.object Class of Fitted Point Process Models
as.mask Pixel Image Approximation of a Window
Saturated Saturated Pairwise Interaction model
rotate Rotate
hamster Aherne's hamster tumour data
shift.ppp Apply Vector Translation To Point Pattern
dirichlet.weights Compute Quadrature Weights Based on Dirichlet Tessellation
predict.ppm Prediction from a Fitted Point Process Model
MultiStrauss The Multitype Strauss Point Process Model
ripras Estimate window from points alone
rMaternII Simulate Matern Model II
simdat Simulated Point Pattern
conspire Plot Together According to a Formula
subset.ppp Extract Subset of Point Pattern
DiggleGratton Diggle-Gratton model
complement.owin Take Complement of a Window
Poisson Poisson Point Process Model
default.dummy Generate a Default Pattern of Dummy Points
ppp.object Class of Point Patterns Ord Interaction Process Family
amacrine Hughes' Amacrine Cell Data
owin Create a Window
superimpose Superimpose Several Point Patterns
markcorr Mark Correlation Function
rMaternI Simulate Matern Model I
Jest Estimate the J-function
bramblecanes Hutchings' Bramble Canes data
rmh.default Simulate Point Process Models using the Metropolis-Hastings Algorithm.
gridweights Compute Quadrature Weights Based on Grid Counts
harmonic Basis for Harmonic Functions
StraussHard The Strauss / Hard Core Point Process Model
pairdist Pairwise distances
rpoispp Generate Poisson Point Pattern
rmh.ppm Simulate from a Fitted Point Process Model
Gdot Multitype Nearest Neighbour Distance Function (i-to-any)
demopat Artificial Data Point Pattern
raster.x Cartesian Coordinates for a Pixel Raster
im Create a Pixel Image Object
summary.owin Summary of a Spatial Window
affine.owin Apply Affine Transformation To Window
Geyer Geyer's Saturation Point Process Model
rmh Simulate point patterns using the Metropolis-Hastings algorithm.
runifpoint Generate N Uniform Random Points Bounding Box of a Window
spatstat.options Internal Options in Spatstat Package
LennardJones The Lennard-Jones Potential
bdist.pixels Distance to Boundary of Window
rotate.owin Rotate a Window
as.owin Convert Data To Class owin
Kest K-function
Kest.fft K-function using FFT
union.quad Union of Data and Dummy Points
gridcentres Rectangular grid of points
stratrand Stratified random point pattern
rNeymanScott Simulate Neyman-Scott Process
square Square Window
shift.owin Apply Vector Translation To Window
redwoodfull California Redwoods Point Pattern (Entire Dataset)
print.owin Print Brief Details of a Spatial Window
summary.ppp Summary of a Point Pattern Dataset
quad.object Class of Quadrature Schemes
as.ppp Convert Data To Class ppp
eroded.areas Areas of Morphological Erosions
print.ppm Print a Fitted Point Process Model
ppp Create a Point Pattern
Jcross Multitype J Function (i-to-j)
Kdot Multitype K Function (i-to-any)
diameter Diameter of a Window Frame
cells Biological Cells Point Pattern
rSSI Simple Sequential Inhibition
quadscheme Generate a Quadrature Scheme from a Point Pattern
centroid.owin Centroid of a window
plot.fasp Plot a Function Array
nztrees New Zealand Trees Point Pattern
Jmulti Marked J Function
fasp.object Function Arrays for Spatial Patterns
im.object Class of Images
bdist.points Distance to Boundary of Window
rThomas Simulate Thomas Process
reduced.sample Reduced Sample Estimator using Histogram Data
redwood California Redwoods Point Pattern (Ripley's Subset)
longleaf Longleaf Pines Point Pattern
Ord Generic Ord Interaction model
Strauss The Strauss Point Process Model
MultiStraussHard The Multitype/Hard Core Strauss Point Process Model
Pairwise Generic Pairwise Interaction model
Gcross Multitype Nearest Neighbour Distance Function (i-to-j)
letterR Window in Shape of Letter R
concatxy Concatenate x,y Coordinate Vectors
subset.fasp Extract Subset of Function Array
inside.owin Test Whether Points Are Inside A Window
erode.owin Erode a Window
shift Apply Vector Translation
Softcore The Soft Core Point Process Model
rMatClust Simulate Matern Cluster Process
Gest Nearest Neighbour Distance Function G
swedishpines Swedish Pines Point Pattern
nearest.raster.point Find Pixel Nearest to a Given Point
rotate.ppp Rotate a Point Pattern
lansing Lansing Woods Point Pattern
allstats Calculate four standard summary functions of a point pattern.
alltypes Calculate Statistic for All Types in a Multitype Point Pattern
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Last month downloads


Date 12 March 2003
License GPL version 2 or newer

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