spatstat v1.18-2
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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 | |
| ants | Harkness-Isham ants' nests data | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| clarkevans | Clark and Evans Aggregation Index | |
| Jest | Estimate the J-function | |
| coords | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |
| cut.ppp | Classify Points in a Point Pattern | |
| Emark | Diagnostics for random marking | |
| as.psp | Convert Data To Class psp | |
| Fest | Estimate the empty space function F | |
| im.object | Class of Images | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| interp.im | Interpolate a Pixel Image | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| centroid.owin | Centroid of a window | |
| Jdot | Multitype J Function (i-to-any) | |
| crossdist | Pairwise distances | |
| intersect.tess | Intersection of Two Tessellations | |
| Geyer | Geyer's Saturation Point Process Model | |
| distmap.ppp | Distance Map of Point Pattern | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| Kcross | Multitype K Function (Cross-type) | |
| as.owin | Convert Data To Class owin | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| nztrees | New Zealand Trees Point Pattern | |
| complement.owin | Take Complement of a Window | |
| Kest.fft | K-function using FFT | |
| Linhom | L-function | |
| latest.news | Print News About Latest Version of Package | |
| Strauss | The Strauss Point Process Model | |
| as.hyperframe | Convert Data to Hyperframe | |
| pairdist | Pairwise distances | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| print.im | Print Brief Details of an Image | |
| hyperframe | Hyper Data Frame | |
| as.tess | Convert Data To Tessellation | |
| Lcross | Multitype L-function (cross-type) | |
| Lest | L-function | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| DiggleGratton | Diggle-Gratton model | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| chorley | Chorley-Ribble Cancer Data | |
| Saturated | Saturated Pairwise Interaction model | |
| ppp | Create a Point Pattern | |
| Poisson | Poisson Point Process Model | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| pcf | Pair Correlation Function | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |
| AreaInter | The Area Interaction Point Process Model | |
| Extract.fv | Extract Subset of Function Values | |
| Extract.fasp | Extract Subset of Function Array | |
| as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask | |
| Replace.im | Reset Values in Subset of Image | |
| areaLoss | Difference of Disc Areas | |
| Gest | Nearest Neighbour Distance Function G | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| lengths.psp | Lengths of Line Segments | |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |
| markcorr | Mark Correlation Function | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| Extract.im | Extract Subset of Image | |
| Hest | Spherical Contact Distribution Function | |
| Pairwise | Generic Pairwise Interaction model | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| rlabel | Random Re-Labelling of Point Pattern | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| rpoint | Generate N Random Points | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| affine | Apply Affine Transformation | |
| as.im | Convert to Pixel Image | |
| area.owin | Area of a Window | |
| miplot | Morishita Index Plot | |
| Softcore | The Soft Core Point Process Model | |
| as.box3 | Convert Data to Three-Dimensional Box | |
| Gfox | Foxall's Distance Functions | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| Ldot | Multitype L-function (i-to-any) | |
| Ord | Generic Ord Interaction model | |
| mincontrast | Method of Minimum Contrast | |
| as.rectangle | Window Frame | |
| rsyst | Simulate systematic random point pattern | |
| shift.owin | Apply Vector Translation To Window | |
| bramblecanes | Hutchings' Bramble Canes data | |
| collapse.fv | Collapse Several Function Tables into One | |
| Kmeasure | Reduced Second Moment Measure | |
| angles.psp | Orientation Angles of Line Segments | |
| bind.fv | Combine Function Value Tables | |
| pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| OrdThresh | Ord's Interaction model | |
| nndist.pp3 | Nearest neighbour distances in three dimensions | |
| contour.im | Contour plot of pixel image | |
| bdist.pixels | Distance to Boundary of Window | |
| pcfinhom | Inhomogeneous Pair Correlation Function | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| by.im | Apply Function to Image Broken Down by Factor | |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| pairwise.family | Pairwise Interaction Process Family | |
| convexhull.xy | Convex Hull of Points | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| plot.owin | Plot a Spatial Window | |
| owin | Create a Window | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| clickpoly | Interactively Define a Polygon | |
| spatstat-deprecated | Deprecated spatstat functions | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |
| periodify | Make Periodic Copies of a Spatial Pattern | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| connected | Connected components of an image or window | |
| disc | Circular Window | |
| plot.listof | Plot a List of Things | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| crossdist.default | Pairwise distances between two different sets of points | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| clickppp | Interactively Add Points | |
| copper | Berman-Huntington points and lines data | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| diameter | Diameter of a Window | |
| pp3 | Three Dimensional Point Pattern | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| box3 | Three-Dimensional Box | |
| envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern | |
| discpartarea | Area of Part of Disc | |
| rpoisline | Generate Poisson Random Line Process | |
| kppm | Fit cluster point process model | |
| envelope | Simulation Envelopes of Summary Function | |
| fv | Create a Function Value Table | |
| erosion | Morphological Erosion | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| distmap | Distance Map | |
| expand.owin | Expand Window By Factor | |
| dilated.areas | Areas of Morphological Dilations | |
| fasp.object | Function Arrays for Spatial Patterns | |
| inforder.family | Infinite Order Interaction Family | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| methods.box3 | Methods for Three-Dimensional Box | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| plot.kppm | Plot a fitted cluster point process | |
| ord.family | Ord Interaction Process Family | |
| hist.im | Histogram of Pixel Values in an Image | |
| incircle | Find Largest Circle Inside Window | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| longleaf | Longleaf Pines Point Pattern | |
| mean.im | Mean, Median and Range of Pixel Values in an Image | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| fv.object | Data Frames of Function Values | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| print.owin | Print Brief Details of a Spatial Window | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| ppx | Multidimensional Space-Time Point Pattern | |
| print.ppm | Print a Fitted Point Process Model | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| murchison | Murchison gold deposits | |
| lansing | Lansing Woods Point Pattern | |
| nnclean | Nearest Neighbour Clutter Removal | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| matchingdist | Distance for a Point Pattern Matching | |
| identify.ppp | Identify Points in a Point Pattern | |
| pairdist.psp | Pairwise distances between line segments | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| quadratcount | Quadrat counting for a point pattern | |
| is.owin | Test Whether An Object Is A Window | |
| gridcentres | Rectangular grid of points | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| eval.fv | Evaluate Expression Involving Functions | |
| plot.fasp | Plot a Function Array | |
| localK | Neighbourhood density function | |
| BadGey | Hybrid Geyer Point Process Model | |
| nndist.psp | Nearest neighbour distances between line segments | |
| lurking | Lurking variable plot | |
| pixellate.psp | Convert Line Segment Pattern to Pixel Image | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| japanesepines | Japanese Pines Point Pattern | |
| markconnect | Mark Connection Function | |
| perimeter | Perimeter Length of Window | |
| rMaternII | Simulate Matern Model II | |
| levelset | Level Set of a Pixel Image | |
| pairdist.pp3 | Pairwise distances in Three Dimensions | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| plot.bermantest | Plot Result of Berman Test | |
| ppm.object | Class of Fitted Point Process Models | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| pixellate | Convert Spatial Object to Pixel Image | |
| rMosaicField | Mosaic Random Field | |
| pppmatching | Create a Point Matching | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern | |
| opening | Morphological Opening | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| plot.pp3 | Plot a three-dimensional point pattern | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| Hardcore | The Hard Core Point Process Model | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| pixellate.owin | Convert Window to Pixel Image | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| project2segment | Move Point To Nearest Line | |
| rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |
| owin.object | Class owin | |
| rSSI | Simulate Simple Sequential Inhibition | |
| runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |
| quadrats | Divide Region into Quadrats | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| rjitter | Random Perturbation of a Point Pattern | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| Jcross | Multitype J Function (i-to-j) | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| psp.object | Class of Line Segment Patterns | |
| rmpoint | Generate N Random Multitype Points | |
| pppdist | Distance Between Two Point Patterns | |
| quantile.im | Sample Quantiles of Pixel Image | |
| rescale.owin | Convert Window to Another Unit of Length | |
| simdat | Simulated Point Pattern | |
| rThomas | Simulate Thomas Process | |
| affine.owin | Apply Affine Transformation To Window | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| rescale | Convert dataset to another unit of length | |
| plot.im | Plot a Pixel Image | |
| union.quad | Union of Data and Dummy Points | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| Kmulti | Marked K-Function | |
| rotate.psp | Rotate a Line Segment Pattern | |
| as.data.frame.im | Convert Pixel Image to Data Frame | |
| unmark | Remove Marks | |
| split.im | Divide Image Into Sub-images | |
| Kdot | Multitype K Function (i-to-any) | |
| suffstat | Sufficient Statistic of Point Process Model | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns | |
| Extract.quad | Subset of Quadrature Scheme | |
| border | Border Region of a Window | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| setcov | Set Covariance of a Window | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| rotate | Rotate | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| demopat | Artificial Data Point Pattern | |
| summary.quad | Summarizing a Quadrature Scheme | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| pppmatching.object | Class of Point Matchings | |
| rpoislinetess | Poisson Line Tessellation | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| plot.ppp | plot a Spatial Point Pattern | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| amacrine | Hughes' Amacrine Cell Data | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| distmap.owin | Distance Map of Window | |
| rshift | Random Shift | |
| dilation | Morphological Dilation | |
| vertices | Vertices of a Window | |
| rthin | Random Thinning | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| summary.im | Summarizing a Pixel Image | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| eroded.areas | Areas of Morphological Erosions | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| shift | Apply Vector Translation | |
| urkiola | Urkiola Woods Point Pattern | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| as.ppp | Convert Data To Class ppp | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| summary.owin | Summary of a Spatial Window | |
| rotate.owin | Rotate a Window | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| areaGain | Difference of Disc Areas | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| as.mask | Pixel Image Approximation of a Window | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| colourmap | Colour Lookup Tables | |
| nnwhich.pp3 | Nearest neighbours in three dimensions | |
| swedishpines | Swedish Pines Point Pattern | |
| distfun | Distance Map as a Function | |
| summary.listof | Summary of a List of Things | |
| pairdist.default | Pairwise distances | |
| harmonic | Basis for Harmonic Functions | |
| superimpose | Superimpose Several Point Patterns | |
| im | Create a Pixel Image Object | |
| ripras | Estimate window from points alone | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| bei | Tropical rain forest trees | |
| spatstat-internal | Internal spatstat functions | |
| letterR | Window in Shape of Letter R | |
| corners | Corners of a rectangle | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| cells | Biological Cells Point Pattern | |
| pcfcross | Multitype pair correlation function (cross-type) | |
| heather | Diggle's Heather Data | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| is.empty | Test Whether An Object Is Empty | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |
| append.psp | Combine Two Line Segment Patterns | |
| rMaternI | Simulate Matern Model I | |
| pcfdot | Multitype pair correlation function (i-to-any) | |
| eem | Exponential Energy Marks | |
| persp.im | Perspective Plot of Pixel Image | |
| is.marked | Test Whether Marks Are Present | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| plot.colourmap | Plot a Colour Map | |
| markcorrint | Mark Correlation Integral | |
| print.quad | Print a Quadrature Scheme | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| is.multitype | Test whether Object is Multitype | |
| methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| bounding.box.xy | Convex Hull of Points | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| rstrat | Simulate Stratified Random Point Pattern | |
| model.images | Compute Images of Constructed Covariates | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| nnwhich | Nearest neighbour | |
| ppp.object | Class of Point Patterns | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| profilepl | Profile Maximum Pseudolikelihood | |
| hamster | Aherne's hamster tumour data | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| shapley | Galaxies in the Shapley Supercluster | |
| rMosaicSet | Mosaic Random Set | |
| markvario | Mark Variogram | |
| Iest | Estimate the I-function | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| lut | Lookup Tables | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| whist | Weighted Histogram | |
| Kinhom | Inhomogeneous K-function | |
| marks | Marks of a Point Pattern | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| quad.object | Class of Quadrature Schemes | |
| plot.fv | Plot Function Values | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| spatstat-package | The Spatstat Package | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| with.fv | Evaluate an Expression in a Function Table | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| plot.splitppp | Plot a List of Point Patterns | |
| reach | Interaction Distance of a Point Process | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| bermantest | Berman's Tests for Point Process Model | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| psp | Create a Line Segment Pattern | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| plot.ppm | plot a Fitted Point Process Model | |
| rknn | Theoretical Distribution of Nearest Neighbour Distance | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| tess | Create a Tessellation | |
| nncross | Nearest Neighbours Between Two Patterns | |
| trim.rectangle | Cut margins from rectangle | |
| finpines | Pine saplings in Finland. | |
| Jmulti | Marked J Function | |
| inside.owin | Test Whether Points Are Inside A Window | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| K3est | K-function of a Three-Dimensional Point Pattern | |
| spruces | Spruces Point Pattern | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| plot.tess | Plot a tessellation | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| LennardJones | The Lennard-Jones Potential | |
| anemones | Beadlet Anemones Data | |
| summary.splitppp | Summary of a Split Point Pattern | |
| runifpoint | Generate N Uniform Random Points | |
| is.im | Test Whether An Object Is A Pixel Image | |
| tiles | Extract List of Tiles in a Tessellation | |
| ppm | Fit Point Process Model to Data | |
| scanpp | Read Point Pattern From Data File | |
| rotate.ppp | Rotate a Point Pattern | |
| update.ppm | Update a Fitted Point Process Model | |
| square | Square Window | |
| fryplot | Fry Plot of Point Pattern | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| unitname | Name for Unit of Length | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| methods.pp3 | Methods for three-dimensional point patterns | |
| bdist.tiles | Distance to Boundary of Window | |
| bdist.points | Distance to Boundary of Window | |
| bronzefilter | Bronze gradient filter data | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| pairdist.ppp | Pairwise distances | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| shift.im | Apply Vector Translation To Pixel Image | |
| closing | Morphological Closing | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| convexhull | Convex Hull | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| deltametric | Delta Metric | |
| spatstat.options | Internal Options in Spatstat Package | |
| spokes | Spokes pattern of dummy points | |
| infline | Infinite Straight Lines | |
| integral.im | Integral of a Pixel Image | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| is.convex | Test Whether a Window is Convex | |
| npoints | Number of Points in a Point Pattern | |
| nndist | Nearest neighbour distances | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| progressreport | Print Progress Reports | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| rMatClust | Simulate Matern Cluster Process | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| rpoispp | Generate Poisson Point Pattern | |
| No Results! | ||
Last month downloads
Details
| Date | 2010-04-09 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2010-04-09 13:44:39 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2010-04-10 06:33:10 |
| 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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