spatstat v1.17-6
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Spatial Point Pattern analysis, model-fitting, simulation, tests
A package for analysing spatial data, mainly Spatial Point
Patterns, including multitype/marked points and spatial
covariates, in any two-dimensional spatial region. Also
supports three-dimensional point patterns. Contains functions
for plotting spatial data, exploratory data analysis,
model-fitting, simulation, spatial sampling, model diagnostics,
and formal inference. Data types include point patterns, line
segment patterns, spatial windows, pixel images and
tessellations. Point process models can be fitted to point
pattern data. Cluster type models are fitted by the method of
minimum contrast. Very general Gibbs point process models can
be fitted to point pattern data using a function ppm similar to
lm or glm. Models may include dependence on covariates,
interpoint interaction and dependence on marks. Fitted models
can be simulated automatically. Also provides facilities for
formal inference (such as chi-squared tests) and model
diagnostics (including simulation envelopes, residuals,
residual plots and Q-Q plots).
Functions in spatstat
| Name | Description | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |
| Kest | K-function | |
| Kmulti | Marked K-Function | |
| OrdThresh | Ord's Interaction model | |
| Saturated | Saturated Pairwise Interaction model | |
| area.owin | Area of a Window | |
| bronzefilter | Bronze gradient filter data | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| cells | Biological Cells Point Pattern | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| Iest | Estimate the I-function | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| im.object | Class of Images | |
| K3est | K-function of a Three-Dimensional Point Pattern | |
| Pairwise | Generic Pairwise Interaction model | |
| Jest | Estimate the J-function | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| DiggleGratton | Diggle-Gratton model | |
| Lest | L-function | |
| bei | Tropical rain forest trees | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| as.hyperframe | Convert Data to Hyperframe | |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern | |
| clarkevans | Clark and Evans Aggregation Index | |
| Extract.fv | Extract Subset of Function Values | |
| progressreport | Print Progress Reports | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| Kest.fft | K-function using FFT | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| chorley | Chorley-Ribble Cancer Data | |
| as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |
| affine.owin | Apply Affine Transformation To Window | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| rstrat | Simulate Stratified Random Point Pattern | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| bermantest | Berman's Tests for Point Process Model | |
| Lcross | Multitype L-function (cross-type) | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| eroded.areas | Areas of Morphological Erosions | |
| append.psp | Combine Two Line Segment Patterns | |
| closing | Morphological Closing | |
| bdist.pixels | Distance to Boundary of Window | |
| Extract.fasp | Extract Subset of Function Array | |
| Gest | Nearest Neighbour Distance Function G | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| bdist.tiles | Distance to Boundary of Window | |
| bind.fv | Combine Function Value Tables | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| diameter | Diameter of a Window | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| Kinhom | Inhomogeneous K-function | |
| complement.owin | Take Complement of a Window | |
| heather | Diggle's Heather Data | |
| fv | Create a Function Value Table | |
| Softcore | The Soft Core Point Process Model | |
| ants | Harkness-Isham ants' nests data | |
| is.convex | Test Whether a Window is Convex | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| lut | Lookup Tables | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| colourmap | Colour Lookup Tables | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| affine | Apply Affine Transformation | |
| inforder.family | Infinite Order Interaction Family | |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| connected | Connected components of an image or window | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| demopat | Artificial Data Point Pattern | |
| levelset | Level Set of a Pixel Image | |
| clickppp | Interactively Add Points | |
| shift.im | Apply Vector Translation To Pixel Image | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| bounding.box.xy | Convex Hull of Points | |
| setcov | Set Covariance of a Window | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| disc | Circular Window | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| Ldot | Multitype L-function (i-to-any) | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| nndist.pp3 | Nearest neighbour distances in three dimensions | |
| Hest | Spherical Contact Distribution Function | |
| longleaf | Longleaf Pines Point Pattern | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| Fest | Estimate the empty space function F | |
| spokes | Spokes pattern of dummy points | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| finpines | Pine saplings in Finland. | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| owin | Create a Window | |
| ord.family | Ord Interaction Process Family | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| fryplot | Fry Plot of Point Pattern | |
| im | Create a Pixel Image Object | |
| dilated.areas | Areas of Morphological Dilations | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| nnwhich.pp3 | Nearest neighbours in three dimensions | |
| collapse.fv | Collapse Several Function Tables into One | |
| clickpoly | Interactively Define a Polygon | |
| pixellate | Convert Spatial Object to Pixel Image | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| Jmulti | Marked J Function | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| distmap.owin | Distance Map of Window | |
| Replace.im | Reset Values in Subset of Image | |
| lansing | Lansing Woods Point Pattern | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| amacrine | Hughes' Amacrine Cell Data | |
| letterR | Window in Shape of Letter R | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| ppp.object | Class of Point Patterns | |
| rlabel | Random Re-Labelling of Point Pattern | |
| distmap.ppp | Distance Map of Point Pattern | |
| rknn | Theoretical Distribution of Nearest Neighbour Distance | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| as.ppp | Convert Data To Class ppp | |
| interp.im | Interpolate a Pixel Image | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| harmonic | Basis for Harmonic Functions | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| areaGain | Difference of Disc Areas | |
| pcfdot | Multitype pair correlation function (i-to-any) | |
| as.owin | Convert Data To Class owin | |
| nnwhich | Nearest neighbour | |
| crossdist | Pairwise distances | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| lurking | Lurking variable plot | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| dilation | Morphological Dilation | |
| is.owin | Test Whether An Object Is A Window | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| pcfcross | Multitype pair correlation function (cross-type) | |
| nnclean | Nearest Neighbour Clutter Removal | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| box3 | Three-Dimensional Box | |
| rMaternI | Simulate Matern Model I | |
| plot.im | Plot a Pixel Image | |
| as.mask | Pixel Image Approximation of a Window | |
| scanpp | Read Point Pattern From Data File | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| pcfinhom | Inhomogeneous Pair Correlation Function | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| spruces | Spruces Point Pattern | |
| convexhull.xy | Convex Hull of Points | |
| spatstat-internal | Internal spatstat functions | |
| eem | Exponential Energy Marks | |
| Kmeasure | Reduced Second Moment Measure | |
| model.images | Compute Images of Constructed Covariates | |
| murchison | Murchison gold deposits | |
| plot.fasp | Plot a Function Array | |
| pp3 | Three Dimensional Point Pattern | |
| rotate | Rotate | |
| crossdist.default | Pairwise distances between two different sets of points | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| with.fv | Evaluate an Expression in a Function Table | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| pairdist.default | Pairwise distances | |
| Linhom | L-function | |
| print.quad | Print a Quadrature Scheme | |
| summary.splitppp | Summary of a Split Point Pattern | |
| plot.splitppp | Plot a List of Point Patterns | |
| plot.colourmap | Plot a Colour Map | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| ppm.object | Class of Fitted Point Process Models | |
| plot.tess | Plot a tessellation | |
| AreaInter | The Area Interaction Point Process Model | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| pppdist | Distance Between Two Point Patterns | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| cut.ppp | Classify Points in a Point Pattern | |
| expand.owin | Expand Window By Factor | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| matchingdist | Distance for a Point Pattern Matching | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| Geyer | Geyer's Saturation Point Process Model | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| is.multitype | Test whether Object is Multitype | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| rMatClust | Simulate Matern Cluster Process | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| pppmatching.object | Class of Point Matchings | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| psp.object | Class of Line Segment Patterns | |
| Kdot | Multitype K Function (i-to-any) | |
| Poisson | Poisson Point Process Model | |
| BadGey | Hybrid Geyer Point Process Model | |
| nncross | Nearest Neighbours Between Two Patterns | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| as.rectangle | Window Frame | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| shapley | Galaxies in the Shapley Supercluster | |
| rpoislinetess | Poisson Line Tessellation | |
| Strauss | The Strauss Point Process Model | |
| localK | Neighbourhood density function | |
| contour.im | Contour plot of pixel image | |
| methods.box3 | Methods for Three-Dimensional Box | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| convexhull | Convex Hull | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| plot.ppm | plot a Fitted Point Process Model | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| pixellate.owin | Convert Window to Pixel Image | |
| perimeter | Perimeter Length of Window | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| as.tess | Convert Data To Tessellation | |
| quadrats | Divide Region into Quadrats | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| rotate.ppp | Rotate a Point Pattern | |
| rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |
| coords | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern | |
| print.ppm | Print a Fitted Point Process Model | |
| hyperframe | Hyper Data Frame | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| envelope | Simulation envelopes of summary function | |
| nndist | Nearest neighbour distances | |
| rSSI | Simulate Simple Sequential Inhibition | |
| nndist.psp | Nearest neighbour distances between line segments | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| suffstat | Sufficient Statistic of Point Process Model | |
| rThomas | Simulate Thomas Process | |
| discpartarea | Area of Part of Disc | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| Jcross | Multitype J Function (i-to-j) | |
| rthin | Random Thinning | |
| shift.owin | Apply Vector Translation To Window | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| Jdot | Multitype J Function (i-to-any) | |
| plot.listof | Plot a List of Things | |
| rescale | Convert dataset to another unit of length | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| as.box3 | Convert Data to Three-Dimensional Box | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| spatstat-package | The Spatstat Package | |
| anemones | Beadlet Anemones Data | |
| owin.object | Class owin | |
| tiles | Extract List of Tiles in a Tessellation | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| copper | Berman-Huntington points and lines data | |
| rpoispp | Generate Poisson Point Pattern | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| is.marked | Test Whether Marks Are Present | |
| deltametric | Delta Metric | |
| union.quad | Union of Data and Dummy Points | |
| summary.quad | Summarizing a Quadrature Scheme | |
| setmarks | Set or Reset the Marks in a Point Pattern | |
| rmpoint | Generate N Random Multitype Points | |
| pairdist.pp3 | Pairwise distances in Three Dimensions | |
| inside.owin | Test Whether Points Are Inside A Window | |
| gridcentres | Rectangular grid of points | |
| crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns | |
| infline | Infinite Straight Lines | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| shift | Apply Vector Translation | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |
| pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |
| square | Square Window | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| rshift | Random Shift | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| Ord | Generic Ord Interaction model | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| whist | Weighted Histogram | |
| print.im | Print Brief Details of an Image | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| tess | Create a Tessellation | |
| incircle | Find Largest Circle Inside Window | |
| angles.psp | Orientation Angles of Line Segments | |
| is.im | Test Whether An Object Is A Pixel Image | |
| vertices | Vertices of a Window | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| japanesepines | Japanese Pines Point Pattern | |
| project2segment | Move Point To Nearest Line | |
| areaLoss | Difference of Disc Areas | |
| swedishpines | Swedish Pines Point Pattern | |
| plot.ppp | plot a Spatial Point Pattern | |
| eval.fv | Evaluate Expression Involving Functions | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| hist.im | Histogram of Pixel Values in an Image | |
| by.im | Apply Function to Image Broken Down by Factor | |
| centroid.owin | Centroid of a window | |
| integral.im | Integral of a Pixel Image | |
| unmark | Remove Marks | |
| kppm | Fit cluster point process model | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| intersect.tess | Intersection of Two Tessellations | |
| rotate.owin | Rotate a Window | |
| bramblecanes | Hutchings' Bramble Canes data | |
| latest.news | Print News About Latest Version of Package | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| fasp.object | Function Arrays for Spatial Patterns | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| miplot | Morishita Index Plot | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| periodify | Make Periodic Copies of a Spatial Pattern | |
| markcorrint | Mark Correlation Integral | |
| ppx | Multidimensional Space-Time Point Pattern | |
| corners | Corners of a rectangle | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| hamster | Aherne's hamster tumour data | |
| Extract.quad | Subset of Quadrature Scheme | |
| plot.fv | Plot Function Values | |
| pppmatching | Create a Point Matching | |
| distfun | Distance Map as a Function | |
| quad.object | Class of Quadrature Schemes | |
| print.owin | Print Brief Details of a Spatial Window | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| lengths.psp | Lengths of Line Segments | |
| is.empty | Test Whether An Object Is Empty | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| LennardJones | The Lennard-Jones Potential | |
| trim.rectangle | Cut margins from rectangle | |
| distmap | Distance Map | |
| markconnect | Mark Connection Function | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| Kcross | Multitype K Function (Cross-type) | |
| persp.im | Perspective Plot of Pixel Image | |
| erosion | Morphological Erosion | |
| rMosaicSet | Mosaic Random Set | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| rMaternII | Simulate Matern Model II | |
| reach | Interaction Distance of a Point Process | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| bdist.points | Distance to Boundary of Window | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| markcorr | Mark Correlation Function | |
| summary.owin | Summary of a Spatial Window | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| rpoint | Generate N Random Points | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| Extract.im | Extract Subset of Image | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| fv.object | Data Frames of Function Values | |
| rjitter | Random Perturbation of a Point Pattern | |
| spatstat-deprecated | Deprecated spatstat functions | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| plot.owin | Plot a Spatial Window | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| simdat | Simulated Point Pattern | |
| ppp | Create a Point Pattern | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| rescale.owin | Convert Window to Another Unit of Length | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| as.im | Convert to Pixel Image | |
| runifpoint | Generate N Uniform Random Points | |
| as.psp | Convert Data To Class psp | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| update.ppm | Update a Fitted Point Process Model | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| psp | Create a Line Segment Pattern | |
| mincontrast | Method of Minimum Contrast | |
| markvario | Mark Variogram | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| summary.listof | Summary of a List of Things | |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| border | Border Region of a Window | |
| quadratcount | Quadrat counting for a point pattern | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| pairdist | Pairwise distances | |
| summary.im | Summarizing a Pixel Image | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| unitname | Name for Unit of Length | |
| quantile.im | Sample Quantiles of Pixel Image | |
| identify.ppp | Identify Points in a Point Pattern | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| ripras | Estimate window from points alone | |
| ppm | Fit Point Process Model to Data | |
| Emark | Diagnostics for random marking | |
| plot.bermantest | Plot Result of Berman Test | |
| profilepl | Profile Maximum Pseudolikelihood | |
| runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| spatstat.options | Internal Options in Spatstat Package | |
| mean.im | Mean, Median and Range of Pixel Values in an Image | |
| pairdist.ppp | Pairwise distances | |
| rotate.psp | Rotate a Line Segment Pattern | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| methods.pp3 | Methods for three-dimensional point patterns | |
| opening | Morphological Opening | |
| rpoisline | Generate Poisson Random Line Process | |
| pairdist.psp | Pairwise distances between line segments | |
| superimpose | Superimpose Several Point Patterns | |
| pairwise.family | Pairwise Interaction Process Family | |
| split.im | Divide Image Into Sub-images | |
| urkiola | Urkiola Woods Point Pattern | |
| pcf | Pair Correlation Function | |
| nztrees | New Zealand Trees Point Pattern | |
| plot.kppm | Plot a fitted cluster point process | |
| plot.pp3 | Plot a three-dimensional point pattern | |
| rMosaicField | Mosaic Random Field | |
| rsyst | Simulate systematic random point pattern | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| No Results! | ||
Last month downloads
Details
| Date | 2010-02-08 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2010-02-10 01:41:32 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2010-02-09 11:07:38 |
| depends | base (>= 2.10.0) , deldir (>= 0.0-7) , graphics , mgcv , R (>= 2.10.0) , stats , utils |
| suggests | gpclib , maptools , rpanel , scatterplot3d , sm , tkrplot |
| Contributors | Rolf Turner, Adrian Baddeley |
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