spatstat v1.19-1
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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, and space-time point
patterns in any number of dimensions. 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 | |
| Jcross | Multitype J Function (i-to-j) | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| ants | Harkness-Isham ants' nests data | |
| cut.ppp | Classify Points in a Point Pattern | |
| convexhull.xy | Convex Hull of Points | |
| Poisson | Poisson Point Process Model | |
| distmap.owin | Distance Map of Window | |
| mincontrast | Method of Minimum Contrast | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| methods.box3 | Methods for Three-Dimensional Box | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| Hest | Spherical Contact Distribution Function | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| Iest | Estimate the I-function | |
| Extract.fv | Extract Subset of Function Values | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| Lcross | Multitype L-function (cross-type) | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| Pairwise | Generic Pairwise Interaction model | |
| chorley | Chorley-Ribble Cancer Data | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| Softcore | The Soft Core Point Process Model | |
| Kest.fft | K-function using FFT | |
| pppmatching.object | Class of Point Matchings | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| as.rectangle | Window Frame | |
| pairdist | Pairwise distances | |
| Jmulti | Marked J Function | |
| rThomas | Simulate Thomas Process | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| clickpoly | Interactively Define a Polygon | |
| Hardcore | The Hard Core Point Process Model | |
| as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask | |
| Kdot | Multitype K Function (i-to-any) | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| bdist.pixels | Distance to Boundary of Window | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| centroid.owin | Centroid of a window | |
| DiggleGratton | Diggle-Gratton model | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| clarkevans | Clark and Evans Aggregation Index | |
| Extract.im | Extract Subset of Image | |
| Ord | Generic Ord Interaction model | |
| bermantest | Berman's Tests for Point Process Model | |
| as.im | Convert to Pixel Image | |
| Strauss | The Strauss Point Process Model | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| expand.owin | Expand Window By Factor | |
| Gest | Nearest Neighbour Distance Function G | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| eval.fv | Evaluate Expression Involving Functions | |
| owin | Create a Window | |
| pcfcross | Multitype pair correlation function (cross-type) | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| rlabel | Random Re-Labelling of Point Pattern | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| collapse.fv | Collapse Several Function Tables into One | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| Replace.im | Reset Values in Subset of Image | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| as.tess | Convert Data To Tessellation | |
| lut | Lookup Tables | |
| cbind.hyperframe | Combine Hyperframes by Rows or by Columns | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| bounding.box.xy | Convex Hull of Points | |
| model.images | Compute Images of Constructed Covariates | |
| marks | Marks of a Point Pattern | |
| cells | Biological Cells Point Pattern | |
| lansing | Lansing Woods Point Pattern | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| box3 | Three-Dimensional Box | |
| demopat | Artificial Data Point Pattern | |
| is.im | Test Whether An Object Is A Pixel Image | |
| Emark | Diagnostics for random marking | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| identify.ppp | Identify Points in a Point Pattern | |
| areaGain | Difference of Disc Areas | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| Extract.quad | Subset of Quadrature Scheme | |
| pixellate | Convert Spatial Object to Pixel Image | |
| Linhom | L-function | |
| as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| dilated.areas | Areas of Morphological Dilations | |
| nndist.ppx | Nearest Neighbour Distances in Any Dimensions | |
| nnclean | Nearest Neighbour Clutter Removal | |
| periodify | Make Periodic Copies of a Spatial Pattern | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| distfun | Distance Map as a Function | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| interp.im | Interpolate a Pixel Image | |
| diameter.boxx | Geometrical Calculations for Multi-Dimensional Box | |
| im | Create a Pixel Image Object | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| is.owin | Test Whether An Object Is A Window | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| print.im | Print Brief Details of an Image | |
| Kinhom | Inhomogeneous K-function | |
| nndist.pp3 | Nearest neighbour distances in three dimensions | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| distmap | Distance Map | |
| area.owin | Area of a Window | |
| areaLoss | Difference of Disc Areas | |
| contour.im | Contour plot of pixel image | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| Gfox | Foxall's Distance Functions | |
| markconnect | Mark Connection Function | |
| closing | Morphological Closing | |
| pairdist.ppx | Pairwise Distances in Any Dimensions | |
| Jest | Estimate the J-function | |
| is.convex | Test Whether a Window is Convex | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| persp.im | Perspective Plot of Pixel Image | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| discpartarea | Area of Part of Disc | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| ripras | Estimate window from points alone | |
| levelset | Level Set of a Pixel Image | |
| as.mask | Pixel Image Approximation of a Window | |
| pp3 | Three Dimensional Point Pattern | |
| Kcross | Multitype K Function (Cross-type) | |
| envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern | |
| perimeter | Perimeter Length of Window | |
| heather | Diggle's Heather Data | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| BadGey | Hybrid Geyer Point Process Model | |
| AreaInter | The Area Interaction Point Process Model | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| quantile.im | Sample Quantiles of Pixel Image | |
| plot.splitppp | Plot a List of Point Patterns | |
| ppp.object | Class of Point Patterns | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| Fest | Estimate the empty space function F | |
| Kest | K-function | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| pixellate.psp | Convert Line Segment Pattern to Pixel Image | |
| spatstat-internal | Internal spatstat functions | |
| bramblecanes | Hutchings' Bramble Canes data | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| Geyer | Geyer's Saturation Point Process Model | |
| bind.fv | Combine Function Value Tables | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| diameter | Diameter of an Object | |
| markcorrint | Mark Correlation Integral | |
| rMaternII | Simulate Matern Model II | |
| as.psp | Convert Data To Class psp | |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |
| print.quad | Print a Quadrature Scheme | |
| pixellate.owin | Convert Window to Pixel Image | |
| is.marked | Test Whether Marks Are Present | |
| convexhull | Convex Hull | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |
| lurking | Lurking variable plot | |
| plot.im | Plot a Pixel Image | |
| ppx | Multidimensional Space-Time Point Pattern | |
| latest.news | Print News About Latest Version of Package | |
| shift | Apply Vector Translation | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| append.psp | Combine Two Line Segment Patterns | |
| crossdist.default | Pairwise distances between two different sets of points | |
| fv | Create a Function Value Table | |
| murchison | Murchison gold deposits | |
| clickppp | Interactively Add Points | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| plot.tess | Plot a tessellation | |
| as.owin | Convert Data To Class owin | |
| spruces | Spruces Point Pattern | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| hamster | Aherne's hamster tumour data | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| infline | Infinite Straight Lines | |
| nncross | Nearest Neighbours Between Two Patterns | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| project2segment | Move Point To Nearest Line | |
| localK | Neighbourhood density function | |
| bei | Tropical rain forest trees | |
| methods.boxx | Methods for Multi-Dimensional Box | |
| methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |
| runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |
| bronzefilter | Bronze gradient filter data | |
| affine | Apply Affine Transformation | |
| pppdist | Distance Between Two Point Patterns | |
| plot.colourmap | Plot a Colour Map | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| rSSI | Simulate Simple Sequential Inhibition | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| summary.owin | Summary of a Spatial Window | |
| profilepl | Profile Maximum Pseudolikelihood | |
| bdist.points | Distance to Boundary of Window | |
| matchingdist | Distance for a Point Pattern Matching | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| as.box3 | Convert Data to Three-Dimensional Box | |
| distmap.ppp | Distance Map of Point Pattern | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| rMaternI | Simulate Matern Model I | |
| Ldot | Multitype L-function (i-to-any) | |
| lengths.psp | Lengths of Line Segments | |
| by.im | Apply Function to Image Broken Down by Factor | |
| colourmap | Colour Lookup Tables | |
| LennardJones | The Lennard-Jones Potential | |
| Saturated | Saturated Pairwise Interaction model | |
| finpines | Pine saplings in Finland. | |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| anemones | Beadlet Anemones Data | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| nnwhich.pp3 | Nearest neighbours in three dimensions | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| owin.object | Class owin | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| summary.im | Summarizing a Pixel Image | |
| complement.owin | Take Complement of a Window | |
| plot.pp3 | Plot a three-dimensional point pattern | |
| summary.listof | Summary of a List of Things | |
| crossdist.ppx | Pairwise Distances Between Two Different Multi-Dimensional Point Patterns | |
| ppm.object | Class of Fitted Point Process Models | |
| methods.pp3 | Methods for three-dimensional point patterns | |
| volume | Volume of an Object | |
| npoints | Number of Points in a Point Pattern | |
| fasp.object | Function Arrays for Spatial Patterns | |
| Kmeasure | Reduced Second Moment Measure | |
| OrdThresh | Ord's Interaction model | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| as.data.frame.im | Convert Pixel Image to Data Frame | |
| pcfdot | Multitype pair correlation function (i-to-any) | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| nndist.psp | Nearest neighbour distances between line segments | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| pairdist.ppp | Pairwise distances | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| psp.object | Class of Line Segment Patterns | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| markcorr | Mark Correlation Function | |
| nnwhich | Nearest neighbour | |
| plot.bermantest | Plot Result of Berman Test | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| as.data.frame.hyperframe | Coerce Hyperframe to Data Frame | |
| integral.im | Integral of a Pixel Image | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| as.hyperframe | Convert Data to Hyperframe | |
| border | Border Region of a Window | |
| crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns | |
| fryplot | Fry Plot of Point Pattern | |
| spatstat-deprecated | Deprecated spatstat functions | |
| shift.owin | Apply Vector Translation To Window | |
| dilation | Morphological Dilation | |
| Fiksel | The Fiksel Interaction | |
| rpoint | Generate N Random Points | |
| affine.owin | Apply Affine Transformation To Window | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| rotate.ppp | Rotate a Point Pattern | |
| setcov | Set Covariance of a Window | |
| pairdist.pp3 | Pairwise distances in Three Dimensions | |
| rMatClust | Simulate Matern Cluster Process | |
| Extract.fasp | Extract Subset of Function Array | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| union.quad | Union of Data and Dummy Points | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| spatstat.options | Internal Options in Spatstat Package | |
| connected | Connected components of an image or window | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| japanesepines | Japanese Pines Point Pattern | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| rpoislinetess | Poisson Line Tessellation | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| is.multitype | Test whether Object is Multitype | |
| Lest | L-function | |
| angles.psp | Orientation Angles of Line Segments | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| Jdot | Multitype J Function (i-to-any) | |
| im.object | Class of Images | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| quadratcount | Quadrat counting for a point pattern | |
| plot.kppm | Plot a fitted cluster point process | |
| summary.splitppp | Summary of a Split Point Pattern | |
| copper | Berman-Huntington points and lines data | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| fv.object | Data Frames of Function Values | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| nnwhich.ppx | Nearest Neighbours in Any Dimensions | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| rshift | Random Shift | |
| plot.ppm | plot a Fitted Point Process Model | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| rpoisppx | Generate Poisson Point Pattern in Any Dimensions | |
| corners | Corners of a rectangle | |
| vertices | Vertices of a Window | |
| amacrine | Hughes' Amacrine Cell Data | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| hyperframe | Hyper Data Frame | |
| tess | Create a Tessellation | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| pcfinhom | Inhomogeneous Pair Correlation Function | |
| is.empty | Test Whether An Object Is Empty | |
| rknn | Theoretical Distribution of Nearest Neighbour Distance | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| rotate.owin | Rotate a Window | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| rstrat | Simulate Stratified Random Point Pattern | |
| longleaf | Longleaf Pines Point Pattern | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |
| markvario | Mark Variogram | |
| boxx | Multi-Dimensional Box | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| rotate | Rotate | |
| eem | Exponential Energy Marks | |
| spokes | Spokes pattern of dummy points | |
| rsyst | Simulate systematic random point pattern | |
| crossdist | Pairwise distances | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| suffstat | Sufficient Statistic of Point Process Model | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| osteo | Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns | |
| harmonic | Basis for Harmonic Functions | |
| rpoisline | Generate Poisson Random Line Process | |
| hist.im | Histogram of Pixel Values in an Image | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| runifpointx | Generate N Uniform Random Points in Any Dimensions | |
| incircle | Find Largest Circle Inside Window | |
| shapley | Galaxies in the Shapley Supercluster | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| kppm | Fit cluster point process model | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| intersect.tess | Intersection of Two Tessellations | |
| pcf | Pair Correlation Function | |
| as.ppp | Convert Data To Class ppp | |
| inside.owin | Test Whether Points Are Inside A Window | |
| simdat | Simulated Point Pattern | |
| plot.owin | Plot a Spatial Window | |
| runifpoint | Generate N Uniform Random Points | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| inforder.family | Infinite Order Interaction Family | |
| unmark | Remove Marks | |
| nndist | Nearest neighbour distances | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| opening | Morphological Opening | |
| pairdist.default | Pairwise distances | |
| letterR | Window in Shape of Letter R | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| deltametric | Delta Metric | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| print.owin | Print Brief Details of a Spatial Window | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| pairdist.psp | Pairwise distances between line segments | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| spatstat-package | The Spatstat Package | |
| erosion | Morphological Erosion | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| rMosaicField | Mosaic Random Field | |
| print.ppm | Print a Fitted Point Process Model | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| Kmulti | Marked K-Function | |
| whist | Weighted Histogram | |
| quad.object | Class of Quadrature Schemes | |
| eroded.areas | Areas of Morphological Erosions | |
| trim.rectangle | Cut margins from rectangle | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| shift.im | Apply Vector Translation To Pixel Image | |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |
| plot.fv | Plot Function Values | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| rmpoint | Generate N Random Multitype Points | |
| envelope | Simulation Envelopes of Summary Function | |
| rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |
| pairwise.family | Pairwise Interaction Process Family | |
| pppmatching | Create a Point Matching | |
| split.im | Divide Image Into Sub-images | |
| rescale.owin | Convert Window to Another Unit of Length | |
| scanpp | Read Point Pattern From Data File | |
| tiles | Extract List of Tiles in a Tessellation | |
| coords | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern | |
| rjitter | Random Perturbation of a Point Pattern | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| nztrees | New Zealand Trees Point Pattern | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| ord.family | Ord Interaction Process Family | |
| plot.ppp | plot a Spatial Point Pattern | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| ppm | Fit Point Process Model to Data | |
| superimpose | Superimpose Several Point Patterns | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| swedishpines | Swedish Pines Point Pattern | |
| rotate.psp | Rotate a Line Segment Pattern | |
| bdist.tiles | Distance to Boundary of Window | |
| reach | Interaction Distance of a Point Process | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| urkiola | Urkiola Woods Point Pattern | |
| psp | Create a Line Segment Pattern | |
| smooth.fv | Apply Smoothing to Function Values | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| summary.quad | Summarizing a Quadrature Scheme | |
| plot.listof | Plot a List of Things | |
| gridcentres | Rectangular grid of points | |
| with.fv | Evaluate an Expression in a Function Table | |
| progressreport | Print Progress Reports | |
| miplot | Morishita Index Plot | |
| rescale | Convert dataset to another unit of length | |
| rpoispp | Generate Poisson Point Pattern | |
| square | Square Window | |
| plot.fasp | Plot a Function Array | |
| unitname | Name for Unit of Length | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| rMosaicSet | Mosaic Random Set | |
| update.ppm | Update a Fitted Point Process Model | |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| quadrats | Divide Region into Quadrats | |
| rthin | Random Thinning | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| disc | Circular Window | |
| diameter.owin | Diameter of a Window | |
| ppp | Create a Point Pattern | |
| K3est | K-function of a Three-Dimensional Point Pattern | |
| mean.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image | |
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Details
| Date | 2010-05-22 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2010-05-23 02:05:13 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2010-05-25 17:09:22 |
| depends | base (>= 2.10.0) , deldir (>= 0.0-10) , graphics , mgcv , R (>= 2.10.0) , stats , utils |
| suggests | gpclib , maptools , rpanel , scatterplot3d , sm , tkrplot |
| Contributors | Rolf Turner, Adrian Baddeley |
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