spatstat v1.7-12


Monthly downloads



by Adrian Baddeley

Spatial Point Pattern analysis, model-fitting and simulation

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

Functions in spatstat

Name Description
amacrine Hughes' Amacrine Cell Data
alltypes Calculate Statistic for All Types in a Multitype Point Pattern
LennardJones The Lennard-Jones Potential
area.owin Area of a Window
Geyer Geyer's Saturation Point Process Model
Fest Estimate the empty space function F
Gdot Multitype Nearest Neighbour Distance Function (i-to-any)
complement.owin Take Complement of a Window
Pairwise Generic Pairwise Interaction model
as.mask Pixel Image Approximation of a Window
crossdist Pairwise distances between two different point patterns
quad.ppm Extract Quadrature Scheme Used to Fit a Point Process Model
Kdot Multitype K Function (i-to-any)
cells Biological Cells Point Pattern
Jmulti Marked J Function
DiggleGratton Diggle-Gratton model
plot.plotppm Plot a plotppm Object Created by plot.ppm
Jest Estimate the J-function
applynbd Apply Function to Every Neighbourhood in a Point Pattern
is.ppp Test Whether An Object Is A Point Pattern
as.ppp Convert Data To Class ppp
Kcross Multitype K Function (Cross-type)
Gmulti Marked Nearest Neighbour Distance Function
PairPiece The Piecewise Constant Pairwise Interaction Point Process Model
MultiStraussHard The Multitype/Hard Core Strauss Point Process Model
Kest K-function
Iest Estimate the I-function
chorley Chorley-Ribble Cancer Data
affine Apply Affine Transformation
eroded.areas Areas of Morphological Erosions Bounding Box of a Window
Kmulti Marked K-Function
cut.ppp Convert Point Pattern Marks from Numeric to Factor
ppm.object Class of Fitted Point Process Models
nztrees New Zealand Trees Point Pattern
Softcore The Soft Core Point Process Model
affine.ppp Apply Affine Transformation To Point Pattern
residuals.ppm Residuals for Fitted Point Process Model
Ord Generic Ord Interaction model
as.rectangle Window Frame
pcf Pair Correlation Function
plot.splitppp Plot a List of Point Patterns
Jcross Multitype J Function (i-to-j)
plot.fv Plot Function Valuesn
pairdist Pairwise distances
Kest.fft K-function using FFT
quad.object Class of Quadrature Schemes
anova.ppm ANOVA for Fitted Point Process Models
distmap.owin Distance Map of Window
longleaf Longleaf Pines Point Pattern
diameter Diameter of a Window Frame Test Whether Two Pixel Images Are Compatible
Strauss The Strauss Point Process Model
rmpoint Generate N Random Multitype Points
bramblecanes Hutchings' Bramble Canes data
humberside Humberside Data on Childhood Leukaemia and Lymphoma
distmap Distance Map
rpoint Generate N Random Points
plot.owin Plot a Spatial Window
predict.ppm Prediction from a Fitted Point Process Model
markstat Summarise Marks in Every Neighbourhood in a Point Pattern
ganglia Beta Ganglion Cells in Cat Retina, Old Version
identify.ppp Identify Points in a Point Pattern
markcorr Mark Correlation Function
Gcross Multitype Nearest Neighbour Distance Function (i-to-j)
nearest.raster.point Find Pixel Nearest to a Given Point
copper Berman-Huntington points and lines data
ppp.object Class of Point Patterns
concatxy Concatenate x,y Coordinate Vectors
gridweights Compute Quadrature Weights Based on Grid Counts
OrdThresh Ord's Interaction model
finpines Pine saplings in Finland.
allstats Calculate four standard summary functions of a point pattern.
fasp.object Function Arrays for Spatial Patterns
corners Corners of a rectangle
StraussHard The Strauss / Hard Core Point Process Model
pcf.ppp Pair Correlation Function of Point Pattern
Kinhom Inhomogeneous K-function
Poisson Poisson Point Process Model
stratrand Stratified random point pattern
affine.owin Apply Affine Transformation To Window
MultiStrauss The Multitype Strauss Point Process Model
Gest Nearest Neighbour Distance Function G
is.marked.ppm Test Whether A Point Process Model is Marked
Saturated Saturated Pairwise Interaction model
spatstat-deprecated Deprecated spatstat functions
default.dummy Generate a Default Pattern of Dummy Points
data.ppm Extract Original Data from a Fitted Point Process Model Pairwise Interaction Process Family
im.object Class of Images
Jdot Multitype J Function (i-to-any)
dummy.ppm Extract Dummy Points Used to Fit a Point Process Model Test Whether An Object Is A Pixel Image
is.marked Test Whether Marks Are Present
is.owin Test Whether An Object Is A Window Evaluate Expression Involving Pixel Images
harmonic Basis for Harmonic Functions
ants Harkness-Isham ants' nests data
lansing Lansing Woods Point Pattern Convert to Pixel Image
bdist.pixels Distance to Boundary of Window Saturated Pairwise Interaction Point Process Family
envelope Simulation envelopes of summary function
eem Exponential Energy Marks
is.subset.owin Determine Whether One Window is Contained In Another
distmap.ppp Distance Map of Point Pattern
eval.fv Evaluate Expression Involving Functions
inside.owin Test Whether Points Are Inside A Window
rtoro Random Toroidal Shift of Point Pattern
as.owin Convert Data To Class owin
Kmeasure Reduced Second Moment Measure
subset.fv Extract Subset of Function Values
pcf.fasp Pair Correlation Function obtained from array of K functions
is.ppm Test Whether An Object Is A Fitted Point Process Model
unmark Remove Marks from a Marked Point Pattern
coef.ppm Coefficients of Fitted Point Process Model
expand.owin Expand Window By Factor
letterR Window in Shape of Letter R
setmarks Set or Reset the Marks in a Point Pattern
bdist.points Distance to Boundary of Window
rotate Rotate
japanesepines Japanese Pines Point Pattern
subset.ppp Extract or Replace Subset of Point Pattern
hamster Aherne's hamster tumour data
centroid.owin Centroid of a window
rlabel Random Re-Labelling of Point Pattern
erode.owin Erode a Window
suffstat Sufficient Statistic of Point Process Model
fv.object Data Frames of Function Values
ripras Estimate window from points alone
rmhmodel Define Point Process Model for Metropolis-Hastings Simulation.
im Create a Pixel Image Object
diagnose.ppm Diagnostic Plots for Fitted Point Process Model
kaplan.meier Kaplan-Meier Estimator using Histogram Data
demopat Artificial Data Point Pattern
intersect.owin Intersection or Union of Two Windows
fitted.ppm Fitted Conditional Intensity for Point Process Model
print.quad Print a Quadrature Scheme
quadratcount Quadrat counting for a point pattern
swedishpines Swedish Pines Point Pattern
nndist Nearest neighbour distances
redwoodfull California Redwoods Point Pattern (Entire Dataset)
lurking Lurking variable plot
shift.owin Apply Vector Translation To Window
ppp Create a Point Pattern
ksmooth.ppp Kernel Smoothed Intensity of Point Pattern
is.marked.ppp Test Whether A Point Pattern is Marked
compatible.fv Test Whether Two Function Objects Are Compatible
setcov Set Covariance of a Window
quadscheme Generate a Quadrature Scheme from a Point Pattern
print.ppp Print Brief Details of a Point Pattern Dataset
owin Create a Window
rMaternII Simulate Matern Model II
pcf.fv Pair Correlation Function obtained from K Function
summary.ppm Summarizing a Fitted Point Process Model
print.ppm Print a Fitted Point Process Model
rpoispp Generate Poisson Point Pattern Extract Subset of Image
plot.ppp plot a Spatial Point Pattern
redwood California Redwoods Point Pattern (Ripley's Subset)
dirichlet.weights Compute Quadrature Weights Based on Dirichlet Tessellation
plot.quad plot a Spatial Quadrature Scheme
reduced.sample Reduced Sample Estimator using Histogram Data
superimpose Superimpose Several Point Patterns
spatstat-internal Internal spatstat functions
summary.owin Summary of a Spatial Window
betacells Beta Ganglion Cells in Cat Retina
gridcentres Rectangular grid of points
shift Apply Vector Translation Kaplan-Meier and Reduced Sample Estimator using Histograms
owin.object Class owin
ppm Fit Point Process Model to Data
rSSI Simple Sequential Inhibition
qqplot.ppm Q-Q Plot of Residuals from Fitted Point Process Model
rNeymanScott Simulate Neyman-Scott Process
reach Interaction Distance of a Point Process Ord Interaction Process Family
rMaternI Simulate Matern Model I
summary.quad Summarizing a Quadrature Scheme
rmhcontrol Set Control Parameters for Metropolis-Hastings Algorithm.
rotate.owin Rotate a Window Print Brief Details of an Image
split.ppp Divide Point Pattern into Sub-patterns
print.owin Print Brief Details of a Spatial Window
plot.ppm plot a Fitted Point Process Model
rotate.ppp Rotate a Point Pattern
residualspaper Data and Code From JRSS Discussion Paper on Residuals
rmh Simulate point patterns using the Metropolis-Hastings algorithm.
rThomas Simulate Thomas Process Apply Vector Translation To Pixel Image
rmh.ppm Simulate from a Fitted Point Process Model
runifpoint Generate N Uniform Random Points
plot.fasp Plot a Function Array
raster.x Cartesian Coordinates for a Pixel Raster
rmh.default Simulate Point Process Models using the Metropolis-Hastings Algorithm. Plot a Pixel Image
square Square Window
rescue.rectangle Convert Window Back To Rectangle
rMatClust Simulate Matern Cluster Process
union.quad Union of Data and Dummy Points
rmhstart Determine Initial State for Metropolis-Hastings Simulation.
rmpoispp Generate Multitype Poisson Point Pattern
spatstat.options Internal Options in Spatstat Package
simdat Simulated Point Pattern
spatstat The Spatstat Package
shift.ppp Apply Vector Translation To Point Pattern
update.ppm Update a Fitted Point Process Model
spruces Spruces Point Pattern
scanpp Read Point Pattern From Data File
subset.fasp Extract Subset of Function Array
summary.ppp Summary of a Point Pattern Dataset Summarizing a Pixel Image
spokes Spokes pattern of dummy points
No Results!

Last month downloads


Date 10 August 2005
License GPL version 2 or newer
Packaged Mon Sep 12 08:25:59 2005; adrian

Include our badge in your README