spatstat v1.18-0
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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 | |
| Jdot | Multitype J Function (i-to-any) | |
| BadGey | Hybrid Geyer Point Process Model | |
| Iest | Estimate the I-function | |
| Kmulti | Marked K-Function | |
| Extract.im | Extract Subset of Image | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| LennardJones | The Lennard-Jones Potential | |
| Extract.quad | Subset of Quadrature Scheme | |
| Geyer | Geyer's Saturation Point Process Model | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| Extract.fv | Extract Subset of Function Values | |
| Fest | Estimate the empty space function F | |
| Kcross | Multitype K Function (Cross-type) | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| Extract.fasp | Extract Subset of Function Array | |
| Jcross | Multitype J Function (i-to-j) | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| Replace.im | Reset Values in Subset of Image | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| Kest | K-function | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| as.owin | Convert Data To Class owin | |
| Jmulti | Marked J Function | |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| areaLoss | Difference of Disc Areas | |
| fasp.object | Function Arrays for Spatial Patterns | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| OrdThresh | Ord's Interaction model | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| Saturated | Saturated Pairwise Interaction model | |
| affine.owin | Apply Affine Transformation To Window | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| Softcore | The Soft Core Point Process Model | |
| bei | Tropical rain forest trees | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| areaGain | Difference of Disc Areas | |
| Kinhom | Inhomogeneous K-function | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| DiggleGratton | Diggle-Gratton model | |
| as.rectangle | Window Frame | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| as.data.frame.im | Convert Pixel Image to Data Frame | |
| inside.owin | Test Whether Points Are Inside A Window | |
| by.im | Apply Function to Image Broken Down by Factor | |
| Ord | Generic Ord Interaction model | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| as.psp | Convert Data To Class psp | |
| erosion | Morphological Erosion | |
| nnwhich | Nearest neighbour | |
| as.hyperframe | Convert Data to Hyperframe | |
| discpartarea | Area of Part of Disc | |
| as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| ants | Harkness-Isham ants' nests data | |
| as.im | Convert to Pixel Image | |
| japanesepines | Japanese Pines Point Pattern | |
| Strauss | The Strauss Point Process Model | |
| crossdist | Pairwise distances | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| area.owin | Area of a Window | |
| im | Create a Pixel Image Object | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| intersect.tess | Intersection of Two Tessellations | |
| AreaInter | The Area Interaction Point Process Model | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| distfun | Distance Map as a Function | |
| append.psp | Combine Two Line Segment Patterns | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| anemones | Beadlet Anemones Data | |
| Lcross | Multitype L-function (cross-type) | |
| Jest | Estimate the J-function | |
| Poisson | Poisson Point Process Model | |
| Pairwise | Generic Pairwise Interaction model | |
| Hest | Spherical Contact Distribution Function | |
| convexhull | Convex Hull | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| disc | Circular Window | |
| as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |
| pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| border | Border Region of a Window | |
| gridcentres | Rectangular grid of points | |
| bdist.tiles | Distance to Boundary of Window | |
| finpines | Pine saplings in Finland. | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| bounding.box.xy | Convex Hull of Points | |
| box3 | Three-Dimensional Box | |
| ppp.object | Class of Point Patterns | |
| clickppp | Interactively Add Points | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns | |
| ppm | Fit Point Process Model to Data | |
| longleaf | Longleaf Pines Point Pattern | |
| eroded.areas | Areas of Morphological Erosions | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| eval.fv | Evaluate Expression Involving Functions | |
| reach | Interaction Distance of a Point Process | |
| clarkevans | Clark and Evans Aggregation Index | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| identify.ppp | Identify Points in a Point Pattern | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| markcorr | Mark Correlation Function | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| plot.fasp | Plot a Function Array | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| envelope | Simulation envelopes of summary function | |
| eem | Exponential Energy Marks | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| closing | Morphological Closing | |
| quadrats | Divide Region into Quadrats | |
| matchingdist | Distance for a Point Pattern Matching | |
| ppx | Multidimensional Space-Time Point Pattern | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| harmonic | Basis for Harmonic Functions | |
| fryplot | Fry Plot of Point Pattern | |
| integral.im | Integral of a Pixel Image | |
| methods.pp3 | Methods for three-dimensional point patterns | |
| nncross | Nearest Neighbours Between Two Patterns | |
| demopat | Artificial Data Point Pattern | |
| markconnect | Mark Connection Function | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| incircle | Find Largest Circle Inside Window | |
| letterR | Window in Shape of Letter R | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| dilated.areas | Areas of Morphological Dilations | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| as.box3 | Convert Data to Three-Dimensional Box | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| model.images | Compute Images of Constructed Covariates | |
| periodify | Make Periodic Copies of a Spatial Pattern | |
| rpoisline | Generate Poisson Random Line Process | |
| as.ppp | Convert Data To Class ppp | |
| nndist.pp3 | Nearest neighbour distances in three dimensions | |
| markvario | Mark Variogram | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| bind.fv | Combine Function Value Tables | |
| levelset | Level Set of a Pixel Image | |
| quadratcount | Quadrat counting for a point pattern | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| coords | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern | |
| shift.im | Apply Vector Translation To Pixel Image | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| spatstat-package | The Spatstat Package | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| miplot | Morishita Index Plot | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| bermantest | Berman's Tests for Point Process Model | |
| convexhull.xy | Convex Hull of Points | |
| plot.splitppp | Plot a List of Point Patterns | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| pairdist.ppp | Pairwise distances | |
| hamster | Aherne's hamster tumour data | |
| infline | Infinite Straight Lines | |
| pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |
| is.empty | Test Whether An Object Is Empty | |
| fv.object | Data Frames of Function Values | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern | |
| pixellate.psp | Convert Line Segment Pattern to Pixel Image | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| markcorrint | Mark Correlation Integral | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| pairdist.default | Pairwise distances | |
| plot.tess | Plot a tessellation | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| plot.ppm | plot a Fitted Point Process Model | |
| is.convex | Test Whether a Window is Convex | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| pcfdot | Multitype pair correlation function (i-to-any) | |
| nndist | Nearest neighbour distances | |
| plot.colourmap | Plot a Colour Map | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| persp.im | Perspective Plot of Pixel Image | |
| cells | Biological Cells Point Pattern | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| murchison | Murchison gold deposits | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| plot.kppm | Plot a fitted cluster point process | |
| owin.object | Class owin | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| superimpose | Superimpose Several Point Patterns | |
| pcf | Pair Correlation Function | |
| psp | Create a Line Segment Pattern | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| ppp | Create a Point Pattern | |
| Lest | L-function | |
| ord.family | Ord Interaction Process Family | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| plot.fv | Plot Function Values | |
| pixellate | Convert Spatial Object to Pixel Image | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| angles.psp | Orientation Angles of Line Segments | |
| rMosaicField | Mosaic Random Field | |
| lansing | Lansing Woods Point Pattern | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| colourmap | Colour Lookup Tables | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| psp.object | Class of Line Segment Patterns | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| contour.im | Contour plot of pixel image | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| summary.splitppp | Summary of a Split Point Pattern | |
| ppm.object | Class of Fitted Point Process Models | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| quantile.im | Sample Quantiles of Pixel Image | |
| complement.owin | Take Complement of a Window | |
| pixellate.owin | Convert Window to Pixel Image | |
| rstrat | Simulate Stratified Random Point Pattern | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| urkiola | Urkiola Woods Point Pattern | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| amacrine | Hughes' Amacrine Cell Data | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| fv | Create a Function Value Table | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| bdist.points | Distance to Boundary of Window | |
| dilation | Morphological Dilation | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| spatstat-internal | Internal spatstat functions | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| pppmatching.object | Class of Point Matchings | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| pairwise.family | Pairwise Interaction Process Family | |
| pp3 | Three Dimensional Point Pattern | |
| pppdist | Distance Between Two Point Patterns | |
| Emark | Diagnostics for random marking | |
| vertices | Vertices of a Window | |
| setcov | Set Covariance of a Window | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| Kdot | Multitype K Function (i-to-any) | |
| owin | Create a Window | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| latest.news | Print News About Latest Version of Package | |
| Kmeasure | Reduced Second Moment Measure | |
| rotate.ppp | Rotate a Point Pattern | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| centroid.owin | Centroid of a window | |
| rotate.owin | Rotate a Window | |
| rotate.psp | Rotate a Line Segment Pattern | |
| rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |
| nnclean | Nearest Neighbour Clutter Removal | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| rlabel | Random Re-Labelling of Point Pattern | |
| pcfcross | Multitype pair correlation function (cross-type) | |
| spatstat.options | Internal Options in Spatstat Package | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| rotate | Rotate | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| suffstat | Sufficient Statistic of Point Process Model | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| perimeter | Perimeter Length of Window | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| rpoislinetess | Poisson Line Tessellation | |
| unmark | Remove Marks | |
| crossdist.default | Pairwise distances between two different sets of points | |
| print.ppm | Print a Fitted Point Process Model | |
| rMatClust | Simulate Matern Cluster Process | |
| rescale | Convert dataset to another unit of length | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| rknn | Theoretical Distribution of Nearest Neighbour Distance | |
| rmpoint | Generate N Random Multitype Points | |
| diameter | Diameter of a Window | |
| rescale.owin | Convert Window to Another Unit of Length | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| mean.im | Mean, Median and Range of Pixel Values in an Image | |
| rMaternI | Simulate Matern Model I | |
| nztrees | New Zealand Trees Point Pattern | |
| plot.im | Plot a Pixel Image | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| distmap | Distance Map | |
| rSSI | Simulate Simple Sequential Inhibition | |
| rsyst | Simulate systematic random point pattern | |
| rpoint | Generate N Random Points | |
| update.ppm | Update a Fitted Point Process Model | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| profilepl | Profile Maximum Pseudolikelihood | |
| rthin | Random Thinning | |
| square | Square Window | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| shift | Apply Vector Translation | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| progressreport | Print Progress Reports | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| summary.listof | Summary of a List of Things | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| unitname | Name for Unit of Length | |
| ripras | Estimate window from points alone | |
| spruces | Spruces Point Pattern | |
| rpoispp | Generate Poisson Point Pattern | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |
| tiles | Extract List of Tiles in a Tessellation | |
| mincontrast | Method of Minimum Contrast | |
| whist | Weighted Histogram | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| rjitter | Random Perturbation of a Point Pattern | |
| lurking | Lurking variable plot | |
| simdat | Simulated Point Pattern | |
| plot.ppp | plot a Spatial Point Pattern | |
| plot.pp3 | Plot a three-dimensional point pattern | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| expand.owin | Expand Window By Factor | |
| copper | Berman-Huntington points and lines data | |
| shapley | Galaxies in the Shapley Supercluster | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| swedishpines | Swedish Pines Point Pattern | |
| heather | Diggle's Heather Data | |
| kppm | Fit cluster point process model | |
| im.object | Class of Images | |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |
| Linhom | L-function | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| is.im | Test Whether An Object Is A Pixel Image | |
| tess | Create a Tessellation | |
| connected | Connected components of an image or window | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| with.fv | Evaluate an Expression in a Function Table | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| rThomas | Simulate Thomas Process | |
| print.owin | Print Brief Details of a Spatial Window | |
| spokes | Spokes pattern of dummy points | |
| distmap.ppp | Distance Map of Point Pattern | |
| as.mask | Pixel Image Approximation of a Window | |
| spatstat-deprecated | Deprecated spatstat functions | |
| pairdist.pp3 | Pairwise distances in Three Dimensions | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| hyperframe | Hyper Data Frame | |
| bdist.pixels | Distance to Boundary of Window | |
| Kest.fft | K-function using FFT | |
| is.multitype | Test whether Object is Multitype | |
| cut.ppp | Classify Points in a Point Pattern | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| opening | Morphological Opening | |
| scanpp | Read Point Pattern From Data File | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| summary.owin | Summary of a Spatial Window | |
| marks | Marks of a Point Pattern | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| pairdist.psp | Pairwise distances between line segments | |
| split.im | Divide Image Into Sub-images | |
| summary.im | Summarizing a Pixel Image | |
| plot.listof | Plot a List of Things | |
| plot.owin | Plot a Spatial Window | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| Gest | Nearest Neighbour Distance Function G | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| union.quad | Union of Data and Dummy Points | |
| rshift | Random Shift | |
| clickpoly | Interactively Define a Polygon | |
| runifpoint | Generate N Uniform Random Points | |
| trim.rectangle | Cut margins from rectangle | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| shift.owin | Apply Vector Translation To Window | |
| summary.quad | Summarizing a Quadrature Scheme | |
| plot.bermantest | Plot Result of Berman Test | |
| chorley | Chorley-Ribble Cancer Data | |
| print.quad | Print a Quadrature Scheme | |
| Ldot | Multitype L-function (i-to-any) | |
| affine | Apply Affine Transformation | |
| bronzefilter | Bronze gradient filter data | |
| bramblecanes | Hutchings' Bramble Canes data | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| K3est | K-function of a Three-Dimensional Point Pattern | |
| as.tess | Convert Data To Tessellation | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| corners | Corners of a rectangle | |
| methods.box3 | Methods for Three-Dimensional Box | |
| nndist.psp | Nearest neighbour distances between line segments | |
| nnwhich.pp3 | Nearest neighbours in three dimensions | |
| methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |
| pairdist | Pairwise distances | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| distmap.owin | Distance Map of Window | |
| collapse.fv | Collapse Several Function Tables into One | |
| hist.im | Histogram of Pixel Values in an Image | |
| inforder.family | Infinite Order Interaction Family | |
| is.owin | Test Whether An Object Is A Window | |
| quad.object | Class of Quadrature Schemes | |
| is.marked | Test Whether Marks Are Present | |
| print.im | Print Brief Details of an Image | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| interp.im | Interpolate a Pixel Image | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| lut | Lookup Tables | |
| localK | Neighbourhood density function | |
| pcfinhom | Inhomogeneous Pair Correlation Function | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| project2segment | Move Point To Nearest Line | |
| rMaternII | Simulate Matern Model II | |
| rMosaicSet | Mosaic Random Set | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| lengths.psp | Lengths of Line Segments | |
| deltametric | Delta Metric | |
| pppmatching | Create a Point Matching | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| No Results! | ||
Last month downloads
Details
| Date | 2010-03-10 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2010-03-10 02:55:09 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2010-03-10 10:20:21 |
| 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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