spatstat v1.4-6


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


Date 23 May 2004
License GPL version 2 or newer
Packaged Mon May 24 15:39:24 2004; adrian

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