spatstat v1.16-3
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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. 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, and pixel images. 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 | |
| Extract.fv | Extract Subset of Function Values | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| Extract.quad | Subset of Quadrature Scheme | |
| Ord | Generic Ord Interaction model | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| as.owin | Convert Data To Class owin | |
| Lcross | Multitype L-function (cross-type) | |
| complement.owin | Take Complement of a Window | |
| is.multitype | Test whether Object is Multitype | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| letterR | Window in Shape of Letter R | |
| Ldot | Multitype L-function (i-to-any) | |
| angles.psp | Orientation Angles of Line Segments | |
| Jcross | Multitype J Function (i-to-j) | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| Kest | K-function | |
| Kmeasure | Reduced Second Moment Measure | |
| areaLoss | Difference of Disc Areas | |
| Emark | Diagnostics for random marking | |
| Fest | Estimate the empty space function F | |
| LennardJones | The Lennard-Jones Potential | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| Linhom | L-function | |
| bdist.points | Distance to Boundary of Window | |
| Kmulti | Marked K-Function | |
| Pairwise | Generic Pairwise Interaction model | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| Jmulti | Marked J Function | |
| amacrine | Hughes' Amacrine Cell Data | |
| area.owin | Area of a Window | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| eval.fv | Evaluate Expression Involving Functions | |
| hamster | Aherne's hamster tumour data | |
| convexhull.xy | Convex Hull of Points | |
| Softcore | The Soft Core Point Process Model | |
| centroid.owin | Centroid of a window | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| Jdot | Multitype J Function (i-to-any) | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| inforder.family | Infinite Order Interaction Family | |
| Kest.fft | K-function using FFT | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| as.mask | Pixel Image Approximation of a Window | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| markvario | Mark Variogram | |
| matchingdist | Distance for a Point Pattern Matching | |
| BadGey | Hybrid Geyer Point Process Model | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| Saturated | Saturated Pairwise Interaction model | |
| pixellate.owin | Convert Window to Pixel Image | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| pppmatching | Create a Point Matching | |
| cells | Biological Cells Point Pattern | |
| convexhull | Convex Hull | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| bdist.pixels | Distance to Boundary of Window | |
| Poisson | Poisson Point Process Model | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| affine | Apply Affine Transformation | |
| affine.owin | Apply Affine Transformation To Window | |
| Strauss | The Strauss Point Process Model | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| markcorrint | Mark Correlation Integral | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| anemones | Beadlet Anemones Data | |
| by.im | Apply Function to Image Broken Down by Factor | |
| nndist.psp | Nearest neighbour distances between line segments | |
| lansing | Lansing Woods Point Pattern | |
| Extract.im | Extract Subset of Image | |
| as.rectangle | Window Frame | |
| as.ppp | Convert Data To Class ppp | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| corners | Corners of a rectangle | |
| heather | Diggle's Heather Data | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| crossdist.default | Pairwise distances between two different sets of points | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| distmap.ppp | Distance Map of Point Pattern | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| intersect.owin | Intersection or Union of Two Windows | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| OrdThresh | Ord's Interaction model | |
| Extract.fasp | Extract Subset of Function Array | |
| murchison | Murchison gold deposits | |
| is.empty | Test Whether An Object Is Empty | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| owin | Create a Window | |
| nncross | Nearest Neighbours Between Two Patterns | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| Kdot | Multitype K Function (i-to-any) | |
| rMosaicSet | Mosaic Random Set | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| AreaInter | The Area Interaction Point Process Model | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| finpines | Pine saplings in Finland. | |
| plot.owin | Plot a Spatial Window | |
| bounding.box.xy | Convex Hull of Points | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| dilation | Morphological Dilation | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| clarkevans | Clark and Evans Aggregation Index | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| rMosaicField | Mosaic Random Field | |
| Gest | Nearest Neighbour Distance Function G | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| is.convex | Test Whether a Window is Convex | |
| DiggleGratton | Diggle-Gratton model | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| Replace.im | Reset Values in Subset of Image | |
| disc | Circular Window | |
| as.tess | Convert Data To Tessellation | |
| spatstat-internal | Internal spatstat functions | |
| distfun | Distance Map as a Function | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| append.psp | Combine Two Line Segment Patterns | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| plot.ppp | plot a Spatial Point Pattern | |
| chorley | Chorley-Ribble Cancer Data | |
| distmap.owin | Distance Map of Window | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| rotate.ppp | Rotate a Point Pattern | |
| discpartarea | Area of Part of Disc | |
| connected | Connected components of an image or window | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| clickppp | Interactively Add Points | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| split.im | Divide Image Into Sub-images | |
| setmarks | Set or Reset the Marks in a Point Pattern | |
| square | Square Window | |
| identify.ppp | Identify Points in a Point Pattern | |
| plot.bermantest | Plot Result of Berman Test | |
| Kcross | Multitype K Function (Cross-type) | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| Iest | Estimate the I-function | |
| as.im | Convert to Pixel Image | |
| nndist | Nearest neighbour distances | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| mean.im | Mean, Median and Range of Pixel Values in an Image | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| kppm | Fit cluster point process model | |
| ants | Harkness-Isham ants' nests data | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| dilated.areas | Areas of Morphological Dilations | |
| psp.object | Class of Line Segment Patterns | |
| bramblecanes | Hutchings' Bramble Canes data | |
| model.images | Compute Images of Constructed Covariates | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| cut.ppp | Classify Points in a Point Pattern | |
| Lest | L-function | |
| print.im | Print Brief Details of an Image | |
| project2segment | Move Point To Nearest Line | |
| persp.im | Perspective Plot of Pixel Image | |
| fryplot | Fry Plot of Point Pattern | |
| owin.object | Class owin | |
| pixellate | Convert Spatial Object to Pixel Image | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| Kinhom | Inhomogeneous K-function | |
| pairwise.family | Pairwise Interaction Process Family | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| plot.colourmap | Plot a Colour Map | |
| areaGain | Difference of Disc Areas | |
| ord.family | Ord Interaction Process Family | |
| diameter | Diameter of a Window | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| infline | Infinite Straight Lines | |
| bei | Tropical rain forest trees | |
| print.ppm | Print a Fitted Point Process Model | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| summary.splitppp | Summary of a Split Point Pattern | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| pppmatching.object | Class of Point Matchings | |
| intersect.tess | Intersection of Two Tessellations | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| fasp.object | Function Arrays for Spatial Patterns | |
| longleaf | Longleaf Pines Point Pattern | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| markconnect | Mark Connection Function | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| gridcentres | Rectangular grid of points | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| summary.owin | Summary of a Spatial Window | |
| hist.im | Histogram of Pixel Values in an Image | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| incircle | Find Largest Circle Inside Window | |
| crossdist | Pairwise distances | |
| inside.owin | Test Whether Points Are Inside A Window | |
| quantile.im | Sample Quantiles of Pixel Image | |
| eem | Exponential Energy Marks | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| mincontrast | Method of Minimum Contrast | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| plot.tess | Plot a tessellation | |
| japanesepines | Japanese Pines Point Pattern | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| pairdist | Pairwise distances | |
| markcorr | Mark Correlation Function | |
| erosion | Morphological Erosion | |
| Hest | Spherical Contact Distribution Function | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| summary.listof | Summary of a List of Things | |
| eroded.areas | Areas of Morphological Erosions | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| pairdist.psp | Pairwise distances between line segments | |
| bermantest | Berman's Tests for Point Process Model | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| plot.fv | Plot Function Values | |
| vertices | Vertices of a Window | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| plot.listof | Plot a List of Things | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| as.psp | Convert Data To Class psp | |
| deltametric | Delta Metric | |
| lurking | Lurking variable plot | |
| quadratcount | Quadrat counting for a point pattern | |
| spatstat-deprecated | Deprecated spatstat functions | |
| im.object | Class of Images | |
| rotate | Rotate | |
| distmap | Distance Map | |
| rlabel | Random Re-Labelling of Point Pattern | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| pairdist.ppp | Pairwise distances | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| is.marked | Test Whether Marks Are Present | |
| plot.im | Plot a Pixel Image | |
| envelope | Simulation envelopes of summary function | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| spatstat-package | The Spatstat Package | |
| eval.hyper | Evaluate an Expression in Each Row of a Hyperframe | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| profilepl | Profile Maximum Pseudolikelihood | |
| copper | Berman-Huntington points and lines data | |
| rthin | Random Thinning | |
| expand.owin | Expand Window By Factor | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| rotate.owin | Rotate a Window | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| rpoispp | Generate Poisson Point Pattern | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| contour.im | Contour plot of pixel image | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| ppp | Create a Point Pattern | |
| is.owin | Test Whether An Object Is A Window | |
| rstrat | Simulate Stratified Random Point Pattern | |
| unmark | Remove Marks | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| tess | Create a Tessellation | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| localK | Neighbourhood density function | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| lengths.psp | Lengths of Line Segments | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| union.quad | Union of Data and Dummy Points | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| levelset | Level Set of a Pixel Image | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| tiles | Extract List of Tiles in a Tessellation | |
| lut | Lookup Tables | |
| opening | Morphological Opening | |
| scanpp | Read Point Pattern From Data File | |
| rsyst | Simulate systematic random point pattern | |
| ppp.object | Class of Point Patterns | |
| pcf | Pair Correlation Function | |
| print.quad | Print a Quadrature Scheme | |
| plot.kppm | Plot a fitted cluster point process | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| perimeter | Perimeter Length of Window | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| plot.fasp | Plot a Function Array | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| summary.im | Summarizing a Pixel Image | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| progressreport | Print Progress Reports | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| miplot | Morishita Index Plot | |
| rThomas | Simulate Thomas Process | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| psp | Create a Line Segment Pattern | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| Jest | Estimate the J-function | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| rpoislinetess | Poisson Line Tessellation | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| setcov | Set Covariance of a Window | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| print.owin | Print Brief Details of a Spatial Window | |
| spokes | Spokes pattern of dummy points | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| reach | Interaction Distance of a Point Process | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| fv.object | Data Frames of Function Values | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| nnwhich | Nearest neighbour | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| pcfcross | Multitype pair correlation function | |
| harmonic | Basis for Harmonic Functions | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| im | Create a Pixel Image Object | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| rjitter | Random Perturbation of a Point Pattern | |
| pppdist | Distance Between Two Point Patterns | |
| ripras | Estimate window from points alone | |
| spruces | Spruces Point Pattern | |
| is.im | Test Whether An Object Is A Pixel Image | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| closing | Morphological Closing | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| rshift | Random Shift | |
| ppm.object | Class of Fitted Point Process Models | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| rotate.psp | Rotate a Line Segment Pattern | |
| update.ppm | Update a Fitted Point Process Model | |
| urkiola | Urkiola Woods Point Pattern | |
| demopat | Artificial Data Point Pattern | |
| rpoisline | Generate Poisson Random Line Process | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| plot.splitppp | Plot a List of Point Patterns | |
| plot.ppm | plot a Fitted Point Process Model | |
| swedishpines | Swedish Pines Point Pattern | |
| unitname | Name for Unit of Length | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| shift.im | Apply Vector Translation To Pixel Image | |
| shift | Apply Vector Translation | |
| suffstat | Sufficient Statistic of Point Process Model | |
| rMatClust | Simulate Matern Cluster Process | |
| runifpoint | Generate N Uniform Random Points | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| summary.quad | Summarizing a Quadrature Scheme | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| rSSI | Simulate Simple Sequential Inhibition | |
| simdat | Simulated Point Pattern | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| colourmap | Colour Lookup Tables | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| with.fv | Evaluate an Expression in a Function Table | |
| spatstat.options | Internal Options in Spatstat Package | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| pairdist.default | Pairwise distances | |
| rescale | Convert dataset to another unit of length | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| rescale.owin | Convert Window to Another Unit of Length | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| trim.rectangle | Cut margins from rectangle | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| rpoint | Generate N Random Points | |
| ppm | Fit Point Process Model to Data | |
| rmpoint | Generate N Random Multitype Points | |
| shift.owin | Apply Vector Translation To Window | |
| Geyer | Geyer's Saturation Point Process Model | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| clickpoly | Interactively Define a Polygon | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| interp.im | Interpolate a Pixel Image | |
| hyperframe | Hyper Data Frame | |
| nztrees | New Zealand Trees Point Pattern | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| quad.object | Class of Quadrature Schemes | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| quadrats | Divide Region into Quadrats | |
| rMaternI | Simulate Matern Model I | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| rMaternII | Simulate Matern Model II | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| shapley | Galaxies in the Shapley Supercluster | |
| superimpose | Superimpose Several Point Patterns | |
| No Results! | ||
Last month downloads
Details
| Date | 28 August 2009 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2009-10-13 20:42:22 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2009-10-13 08:54:43 |
| depends | base (>= 2.7.0) , deldir (>= 0.0-7) , gpclib , graphics , mgcv , R (>= 2.7.0) , stats , utils |
| suggests | maptools , rpanel , sm , tkrplot |
| Contributors | Rolf Turner, Adrian Baddeley |
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