https://github.com/cran/spatstat
Tip revision: 94229838c61febbc52fa9a23dca6216f3321f76a authored by Adrian Baddeley on 01 September 2004, 16:21:11 UTC
version 1.5-3
version 1.5-3
Tip revision: 9422983
INDEX
affine Apply Affine Transformation
affine.owin Apply Affine Transformation To Window
affine.ppp Apply Affine Transformation To Point Pattern
allstats Calculate four standard summary functions of a
point pattern.
alltypes Calculate Statistic for All Types in a
Multitype Point Pattern
amacrine Hughes' Amacrine Cell Data
applynbd Apply Function to Every Neighbourhood in a
Point Pattern
area.owin Area of a Window
as.im Convert to Pixel Image
as.mask Pixel Image Approximation of a Window
as.owin Convert Data To Class owin
as.ppp Convert Data To Class ppp
as.rectangle Window Frame
bdist.pixels Distance to Boundary of Window
bdist.points Distance to Boundary of Window
betacells Beta Ganglion Cells in Cat Retina
bounding.box Bounding Box of a Window
bramblecanes Hutchings' Bramble Canes data
cells Biological Cells Point Pattern
centroid.owin Centroid of a window
coef.ppm Coefficients of Fitted Point Process Model
complement.owin Take Complement of a Window
concatxy Concatenate x,y Coordinate Vectors
corners Corners of a rectangle
cut.ppp Convert Point Pattern Marks from Numeric to
Factor
data.ppm Extract Original Data from a Fitted Point
Process Model
default.dummy Generate a Default Pattern of Dummy Points
demopat Artificial Data Point Pattern
diameter Diameter of a Window Frame
DiggleGratton Diggle-Gratton model
dirichlet.weights Compute Quadrature Weights Based on Dirichlet
Tessellation
dummy.ppm Extract Dummy Points Used to Fit a Point
Process Model
eroded.areas Areas of Morphological Erosions
erode.owin Erode a Window
fasp.object Function Arrays for Spatial Patterns
Fest Estimate the empty space function F
fitted.ppm Fitted Conditional Intensity for Point Process
Model
fv.object Data Frames of Function Values
ganglia Beta Ganglion Cells in Cat Retina, Old Version
Gcross Multitype Nearest Neighbour Distance Function
(i-to-j)
Gdot Multitype Nearest Neighbour Distance Function
(i-to-any)
Gest Nearest Neighbour Distance Function G
Geyer Geyer's Saturation Point Process Model
Gmulti Marked Nearest Neighbour Distance Function
gridcentres Rectangular grid of points
gridweights Compute Quadrature Weights Based on Grid
Counts
hamster Aherne's hamster tumour data
harmonic Basis for Harmonic Functions
identify.ppp Identify Points in a Point Pattern
im Create a Pixel Image Object
im.object Class of Images
inside.owin Test Whether Points Are Inside A Window
intersect.owin Intersection or Union of Two Windows
is.im Test Whether An Object Is A Pixel Image
is.marked Test Whether Marks Are Present
is.marked.ppm Test Whether A Point Process Model is Marked
is.marked.ppp Test Whether A Point Pattern is Marked
is.owin Test Whether An Object Is A Window
is.ppm Test Whether An Object Is A Fitted Point
Process Model
is.ppp Test Whether An Object Is A Point Pattern
is.subset.owin Determine Whether One Window is Contained In
Another
Jcross Multitype J Function (i-to-j)
Jdot Multitype J Function (i-to-any)
Jest Estimate the J-function
Jmulti Marked J Function
kaplan.meier Kaplan-Meier Estimator using Histogram Data
Kcross Multitype K Function (Cross-type)
Kdot Multitype K Function (i-to-any)
Kest K-function
Kest.fft K-function using FFT
Kinhom Inhomogeneous K-function
Kmeasure Reduced Second Moment Measure
km.rs Kaplan-Meier and Reduced Sample Estimator
using Histograms
Kmulti Marked K-Function
ksmooth.ppp Kernel Smoothed Intensity of Point Pattern
lansing Lansing Woods Point Pattern
LennardJones The Lennard-Jones Potential
letterR Window in Shape of Letter R
longleaf Longleaf Pines Point Pattern
markcorr Mark Correlation Function
MultiStrauss The Multitype Strauss Point Process Model
MultiStraussHard The Multitype/Hard Core Strauss Point Process
Model
nearest.raster.point Find Pixel Nearest to a Given Point
nndist Nearest neighbour distances
nztrees New Zealand Trees Point Pattern
Ord Generic Ord Interaction model
ord.family Ord Interaction Process Family
OrdThresh Ord's Interaction model
owin Create a Window
owin.object Class owin
pairdist Pairwise distances
PairPiece The Piecewise Constant Pairwise Interaction
Point Process Model
pairsat.family Saturated Pairwise Interaction Point Process
Family
Pairwise Generic Pairwise Interaction model
pairwise.family Pairwise Interaction Process Family
pcf Pair Correlation Function
plot.fasp Plot a Function Array
plot.fv Plot Function Valuesn
plot.owin Plot a Spatial Window
plot.plotppm Plot a plotppm Object Created by plot.ppm
plot.ppm plot a Fitted Point Process Model
plot.ppp plot a Spatial Point Pattern
plot.quad plot a Spatial Quadrature Scheme
plot.splitppp Plot a List of Point Patterns
Poisson Poisson Point Process Model
ppm Fit Point Process Model to Data
ppm.object Class of Fitted Point Process Models
ppp Create a Point Pattern
ppp.object Class of Point Patterns
predict.ppm Prediction from a Fitted Point Process Model
print.im Print Brief Details of an Image
print.owin Print Brief Details of a Spatial Window
print.ppm Print a Fitted Point Process Model
print.ppp Print Brief Details of a Point Pattern Dataset
print.quad Print a Quadrature Scheme
quad.object Class of Quadrature Schemes
quad.ppm Extract Quadrature Scheme Used to Fit a Point
Process Model
quadscheme Generate a Quadrature Scheme from a Point
Pattern
raster.x Cartesian Coordinates for a Pixel Raster
reduced.sample Reduced Sample Estimator using Histogram Data
redwood California Redwoods Point Pattern (Ripley's
Subset)
redwoodfull California Redwoods Point Pattern (Entire
Dataset)
ripras Estimate window from points alone
rMatClust Simulate Matern Cluster Process
rMaternI Simulate Matern Model I
rMaternII Simulate Matern Model II
rmh Simulate point patterns using the
Metropolis-Hastings algorithm.
rmh.default Simulate Point Process Models using the
Metropolis-Hastings Algorithm.
rmh.ppm Simulate from a Fitted Point Process Model
rmpoint Generate N Random Multitype Points
rmpoispp Generate Multitype Poisson Point Pattern
rNeymanScott Simulate Neyman-Scott Process
rotate Rotate
rotate.owin Rotate a Window
rotate.ppp Rotate a Point Pattern
rpoint Generate N Random Points
rpoispp Generate Poisson Point Pattern
rSSI Simple Sequential Inhibition
rThomas Simulate Thomas Process
runifpoint Generate N Uniform Random Points
Saturated Saturated Pairwise Interaction model
setmarks Set or Reset the Marks in a Point Pattern
shift Apply Vector Translation
shift.im Apply Vector Translation To Pixel Image
shift.owin Apply Vector Translation To Window
shift.ppp Apply Vector Translation To Point Pattern
simdat Simulated Point Pattern
Softcore The Soft Core Point Process Model
spatstat.options Internal Options in Spatstat Package
split.ppp Divide Point Pattern into Sub-patterns
spokes Spokes pattern of dummy points
square Square Window
stratrand Stratified random point pattern
Strauss The Strauss Point Process Model
StraussHard The Strauss / Hard Core Point Process Model
subset.fasp Extract Subset of Function Array
subset.fv Extract Subset of Function Values
subset.im Extract Subset of Image
subset.ppp Extract or Replace Subset of Point Pattern
summary.im Summarizing a Pixel Image
summary.owin Summary of a Spatial Window
summary.ppm Summarizing a Fitted Point Process Model
summary.ppp Summary of a Point Pattern Dataset
summary.quad Summarizing a Quadrature Scheme
superimpose Superimpose Several Point Patterns
swedishpines Swedish Pines Point Pattern
union.quad Union of Data and Dummy Points
unmark Remove Marks from a Marked Point Pattern
update.ppm Update a Fitted Point Process Model