spatstat v1.18-1
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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. 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 | |
| Kest | K-function | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| chorley | Chorley-Ribble Cancer Data | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| areaGain | Difference of Disc Areas | |
| areaLoss | Difference of Disc Areas | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| Softcore | The Soft Core Point Process Model | |
| ants | Harkness-Isham ants' nests data | |
| Kmeasure | Reduced Second Moment Measure | |
| Gest | Nearest Neighbour Distance Function G | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| colourmap | Colour Lookup Tables | |
| as.mask | Pixel Image Approximation of a Window | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| Iest | Estimate the I-function | |
| Ldot | Multitype L-function (i-to-any) | |
| AreaInter | The Area Interaction Point Process Model | |
| collapse.fv | Collapse Several Function Tables into One | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| convexhull.xy | Convex Hull of Points | |
| bdist.points | Distance to Boundary of Window | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| Geyer | Geyer's Saturation Point Process Model | |
| Extract.quad | Subset of Quadrature Scheme | |
| as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |
| append.psp | Combine Two Line Segment Patterns | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| bdist.pixels | Distance to Boundary of Window | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| bramblecanes | Hutchings' Bramble Canes data | |
| copper | Berman-Huntington points and lines data | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| crossdist | Pairwise distances | |
| DiggleGratton | Diggle-Gratton model | |
| as.ppp | Convert Data To Class ppp | |
| Strauss | The Strauss Point Process Model | |
| crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| Lest | L-function | |
| inside.owin | Test Whether Points Are Inside A Window | |
| Fest | Estimate the empty space function F | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| cells | Biological Cells Point Pattern | |
| amacrine | Hughes' Amacrine Cell Data | |
| integral.im | Integral of a Pixel Image | |
| Kmulti | Marked K-Function | |
| Extract.fasp | Extract Subset of Function Array | |
| angles.psp | Orientation Angles of Line Segments | |
| is.multitype | Test whether Object is Multitype | |
| Pairwise | Generic Pairwise Interaction model | |
| interp.im | Interpolate a Pixel Image | |
| Lcross | Multitype L-function (cross-type) | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| lansing | Lansing Woods Point Pattern | |
| levelset | Level Set of a Pixel Image | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| pixellate.owin | Convert Window to Pixel Image | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| clickpoly | Interactively Define a Polygon | |
| centroid.owin | Centroid of a window | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| Extract.fv | Extract Subset of Function Values | |
| K3est | K-function of a Three-Dimensional Point Pattern | |
| ppp.object | Class of Point Patterns | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| as.psp | Convert Data To Class psp | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| diameter | Diameter of a Window | |
| kppm | Fit cluster point process model | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| crossdist.default | Pairwise distances between two different sets of points | |
| lengths.psp | Lengths of Line Segments | |
| eval.fv | Evaluate Expression Involving Functions | |
| Kcross | Multitype K Function (Cross-type) | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |
| latest.news | Print News About Latest Version of Package | |
| LennardJones | The Lennard-Jones Potential | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| complement.owin | Take Complement of a Window | |
| hamster | Aherne's hamster tumour data | |
| quantile.im | Sample Quantiles of Pixel Image | |
| as.im | Convert to Pixel Image | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| summary.im | Summarizing a Pixel Image | |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| Jdot | Multitype J Function (i-to-any) | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| is.owin | Test Whether An Object Is A Window | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| matchingdist | Distance for a Point Pattern Matching | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| expand.owin | Expand Window By Factor | |
| Hardcore | The Hard Core Point Process Model | |
| fryplot | Fry Plot of Point Pattern | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| Jmulti | Marked J Function | |
| discpartarea | Area of Part of Disc | |
| convexhull | Convex Hull | |
| incircle | Find Largest Circle Inside Window | |
| ppp | Create a Point Pattern | |
| corners | Corners of a rectangle | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| nndist.psp | Nearest neighbour distances between line segments | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| localK | Neighbourhood density function | |
| longleaf | Longleaf Pines Point Pattern | |
| pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| as.box3 | Convert Data to Three-Dimensional Box | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| im.object | Class of Images | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| affine.owin | Apply Affine Transformation To Window | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| japanesepines | Japanese Pines Point Pattern | |
| is.marked | Test Whether Marks Are Present | |
| closing | Morphological Closing | |
| Replace.im | Reset Values in Subset of Image | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| by.im | Apply Function to Image Broken Down by Factor | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| rMatClust | Simulate Matern Cluster Process | |
| finpines | Pine saplings in Finland. | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| distfun | Distance Map as a Function | |
| rThomas | Simulate Thomas Process | |
| bermantest | Berman's Tests for Point Process Model | |
| pairdist.default | Pairwise distances | |
| is.im | Test Whether An Object Is A Pixel Image | |
| pppmatching | Create a Point Matching | |
| OrdThresh | Ord's Interaction model | |
| plot.owin | Plot a Spatial Window | |
| markconnect | Mark Connection Function | |
| letterR | Window in Shape of Letter R | |
| mean.im | Mean, Median and Range of Pixel Values in an Image | |
| vertices | Vertices of a Window | |
| murchison | Murchison gold deposits | |
| eroded.areas | Areas of Morphological Erosions | |
| Saturated | Saturated Pairwise Interaction model | |
| as.tess | Convert Data To Tessellation | |
| Emark | Diagnostics for random marking | |
| deltametric | Delta Metric | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |
| clickppp | Interactively Add Points | |
| distmap.owin | Distance Map of Window | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| pp3 | Three Dimensional Point Pattern | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| lurking | Lurking variable plot | |
| pcf | Pair Correlation Function | |
| markcorr | Mark Correlation Function | |
| pcfinhom | Inhomogeneous Pair Correlation Function | |
| Kest.fft | K-function using FFT | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| Ord | Generic Ord Interaction model | |
| rotate | Rotate | |
| is.empty | Test Whether An Object Is Empty | |
| connected | Connected components of an image or window | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| pairdist | Pairwise distances | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| owin | Create a Window | |
| rpoisline | Generate Poisson Random Line Process | |
| tiles | Extract List of Tiles in a Tessellation | |
| is.convex | Test Whether a Window is Convex | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| plot.im | Plot a Pixel Image | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |
| bdist.tiles | Distance to Boundary of Window | |
| npoints | Number of Points in a Point Pattern | |
| quadratcount | Quadrat counting for a point pattern | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| harmonic | Basis for Harmonic Functions | |
| dilation | Morphological Dilation | |
| demopat | Artificial Data Point Pattern | |
| pcfdot | Multitype pair correlation function (i-to-any) | |
| coords | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern | |
| heather | Diggle's Heather Data | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| spruces | Spruces Point Pattern | |
| plot.fasp | Plot a Function Array | |
| distmap | Distance Map | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| distmap.ppp | Distance Map of Point Pattern | |
| model.images | Compute Images of Constructed Covariates | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| scanpp | Read Point Pattern From Data File | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| unitname | Name for Unit of Length | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| rMaternI | Simulate Matern Model I | |
| as.owin | Convert Data To Class owin | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| update.ppm | Update a Fitted Point Process Model | |
| hist.im | Histogram of Pixel Values in an Image | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| ord.family | Ord Interaction Process Family | |
| bronzefilter | Bronze gradient filter data | |
| with.fv | Evaluate an Expression in a Function Table | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| print.owin | Print Brief Details of a Spatial Window | |
| Linhom | L-function | |
| pixellate | Convert Spatial Object to Pixel Image | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| as.data.frame.im | Convert Pixel Image to Data Frame | |
| print.im | Print Brief Details of an Image | |
| print.ppm | Print a Fitted Point Process Model | |
| infline | Infinite Straight Lines | |
| pairdist.psp | Pairwise distances between line segments | |
| nndist | Nearest neighbour distances | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| methods.pp3 | Methods for three-dimensional point patterns | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| markcorrint | Mark Correlation Integral | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| union.quad | Union of Data and Dummy Points | |
| ppm | Fit Point Process Model to Data | |
| anemones | Beadlet Anemones Data | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| ppx | Multidimensional Space-Time Point Pattern | |
| envelope | Simulation Envelopes of Summary Function | |
| pixellate.psp | Convert Line Segment Pattern to Pixel Image | |
| persp.im | Perspective Plot of Pixel Image | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| plot.splitppp | Plot a List of Point Patterns | |
| identify.ppp | Identify Points in a Point Pattern | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| plot.ppp | plot a Spatial Point Pattern | |
| Extract.im | Extract Subset of Image | |
| fv.object | Data Frames of Function Values | |
| urkiola | Urkiola Woods Point Pattern | |
| disc | Circular Window | |
| rpoislinetess | Poisson Line Tessellation | |
| inforder.family | Infinite Order Interaction Family | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| nztrees | New Zealand Trees Point Pattern | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| quadrats | Divide Region into Quadrats | |
| gridcentres | Rectangular grid of points | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| bounding.box.xy | Convex Hull of Points | |
| runifpoint | Generate N Uniform Random Points | |
| area.owin | Area of a Window | |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| ripras | Estimate window from points alone | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| square | Square Window | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| rSSI | Simulate Simple Sequential Inhibition | |
| markvario | Mark Variogram | |
| plot.bermantest | Plot Result of Berman Test | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |
| setcov | Set Covariance of a Window | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| project2segment | Move Point To Nearest Line | |
| spatstat-internal | Internal spatstat functions | |
| plot.ppm | plot a Fitted Point Process Model | |
| rescale.owin | Convert Window to Another Unit of Length | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| fv | Create a Function Value Table | |
| Hest | Spherical Contact Distribution Function | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| rpoint | Generate N Random Points | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| plot.listof | Plot a List of Things | |
| methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |
| Poisson | Poisson Point Process Model | |
| Kdot | Multitype K Function (i-to-any) | |
| rknn | Theoretical Distribution of Nearest Neighbour Distance | |
| mincontrast | Method of Minimum Contrast | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| rjitter | Random Perturbation of a Point Pattern | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| plot.kppm | Plot a fitted cluster point process | |
| psp | Create a Line Segment Pattern | |
| bind.fv | Combine Function Value Tables | |
| shift | Apply Vector Translation | |
| clarkevans | Clark and Evans Aggregation Index | |
| miplot | Morishita Index Plot | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| trim.rectangle | Cut margins from rectangle | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| quad.object | Class of Quadrature Schemes | |
| pairwise.family | Pairwise Interaction Process Family | |
| rMosaicField | Mosaic Random Field | |
| plot.colourmap | Plot a Colour Map | |
| as.rectangle | Window Frame | |
| nnwhich | Nearest neighbour | |
| rstrat | Simulate Stratified Random Point Pattern | |
| reach | Interaction Distance of a Point Process | |
| psp.object | Class of Line Segment Patterns | |
| rMaternII | Simulate Matern Model II | |
| rsyst | Simulate systematic random point pattern | |
| plot.pp3 | Plot a three-dimensional point pattern | |
| nncross | Nearest Neighbours Between Two Patterns | |
| spatstat.options | Internal Options in Spatstat Package | |
| perimeter | Perimeter Length of Window | |
| box3 | Three-Dimensional Box | |
| contour.im | Contour plot of pixel image | |
| rMosaicSet | Mosaic Random Set | |
| rlabel | Random Re-Labelling of Point Pattern | |
| summary.owin | Summary of a Spatial Window | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| methods.box3 | Methods for Three-Dimensional Box | |
| lut | Lookup Tables | |
| runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| hyperframe | Hyper Data Frame | |
| pppmatching.object | Class of Point Matchings | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| bei | Tropical rain forest trees | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| marks | Marks of a Point Pattern | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| print.quad | Print a Quadrature Scheme | |
| plot.tess | Plot a tessellation | |
| rescale | Convert dataset to another unit of length | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| opening | Morphological Opening | |
| affine | Apply Affine Transformation | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| erosion | Morphological Erosion | |
| profilepl | Profile Maximum Pseudolikelihood | |
| rthin | Random Thinning | |
| pppdist | Distance Between Two Point Patterns | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| rotate.ppp | Rotate a Point Pattern | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| spokes | Spokes pattern of dummy points | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| shapley | Galaxies in the Shapley Supercluster | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| rpoispp | Generate Poisson Point Pattern | |
| cut.ppp | Classify Points in a Point Pattern | |
| rotate.psp | Rotate a Line Segment Pattern | |
| dilated.areas | Areas of Morphological Dilations | |
| rshift | Random Shift | |
| pairdist.ppp | Pairwise distances | |
| plot.fv | Plot Function Values | |
| whist | Weighted Histogram | |
| ppm.object | Class of Fitted Point Process Models | |
| unmark | Remove Marks | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| eem | Exponential Energy Marks | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| progressreport | Print Progress Reports | |
| shift.im | Apply Vector Translation To Pixel Image | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| nnwhich.pp3 | Nearest neighbours in three dimensions | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| simdat | Simulated Point Pattern | |
| rmpoint | Generate N Random Multitype Points | |
| fasp.object | Function Arrays for Spatial Patterns | |
| superimpose | Superimpose Several Point Patterns | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| split.im | Divide Image Into Sub-images | |
| intersect.tess | Intersection of Two Tessellations | |
| nndist.pp3 | Nearest neighbour distances in three dimensions | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| summary.quad | Summarizing a Quadrature Scheme | |
| Jcross | Multitype J Function (i-to-j) | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| tess | Create a Tessellation | |
| swedishpines | Swedish Pines Point Pattern | |
| shift.owin | Apply Vector Translation To Window | |
| summary.splitppp | Summary of a Split Point Pattern | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| BadGey | Hybrid Geyer Point Process Model | |
| summary.listof | Summary of a List of Things | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| Jest | Estimate the J-function | |
| border | Border Region of a Window | |
| Kinhom | Inhomogeneous K-function | |
| as.hyperframe | Convert Data to Hyperframe | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| spatstat-deprecated | Deprecated spatstat functions | |
| envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern | |
| nnclean | Nearest Neighbour Clutter Removal | |
| pcfcross | Multitype pair correlation function (cross-type) | |
| periodify | Make Periodic Copies of a Spatial Pattern | |
| owin.object | Class owin | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| suffstat | Sufficient Statistic of Point Process Model | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| spatstat-package | The Spatstat Package | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| rotate.owin | Rotate a Window | |
| im | Create a Pixel Image Object | |
| pairdist.pp3 | Pairwise distances in Three Dimensions | |
| No Results! | ||
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Details
| Date | 2010-03-19 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2010-03-19 04:19:48 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2010-03-19 07:31:32 |
| 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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