spatstat v1.17-0
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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. 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 | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| Kcross | Multitype K Function (Cross-type) | |
| Kdot | Multitype K Function (i-to-any) | |
| Iest | Estimate the I-function | |
| Emark | Diagnostics for random marking | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| BadGey | Hybrid Geyer Point Process Model | |
| Hest | Spherical Contact Distribution Function | |
| Kinhom | Inhomogeneous K-function | |
| Lcross | Multitype L-function (cross-type) | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| Extract.im | Extract Subset of Image | |
| Saturated | Saturated Pairwise Interaction model | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| Extract.fv | Extract Subset of Function Values | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| Gest | Nearest Neighbour Distance Function G | |
| Kmulti | Marked K-Function | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| clickppp | Interactively Add Points | |
| Pairwise | Generic Pairwise Interaction model | |
| Jdot | Multitype J Function (i-to-any) | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| Fest | Estimate the empty space function F | |
| Kest.fft | K-function using FFT | |
| angles.psp | Orientation Angles of Line Segments | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| affine | Apply Affine Transformation | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| Geyer | Geyer's Saturation Point Process Model | |
| Extract.fasp | Extract Subset of Function Array | |
| Jcross | Multitype J Function (i-to-j) | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| Ord | Generic Ord Interaction model | |
| complement.owin | Take Complement of a Window | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| Ldot | Multitype L-function (i-to-any) | |
| areaLoss | Difference of Disc Areas | |
| Strauss | The Strauss Point Process Model | |
| demopat | Artificial Data Point Pattern | |
| cells | Biological Cells Point Pattern | |
| deltametric | Delta Metric | |
| AreaInter | The Area Interaction Point Process Model | |
| Kmeasure | Reduced Second Moment Measure | |
| closing | Morphological Closing | |
| DiggleGratton | Diggle-Gratton model | |
| Linhom | L-function | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| Jmulti | Marked J Function | |
| envelope | Simulation envelopes of summary function | |
| as.tess | Convert Data To Tessellation | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| eval.fv | Evaluate Expression Involving Functions | |
| bramblecanes | Hutchings' Bramble Canes data | |
| Softcore | The Soft Core Point Process Model | |
| Lest | L-function | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| as.mask | Pixel Image Approximation of a Window | |
| areaGain | Difference of Disc Areas | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| bounding.box.xy | Convex Hull of Points | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| Extract.quad | Subset of Quadrature Scheme | |
| by.im | Apply Function to Image Broken Down by Factor | |
| anemones | Beadlet Anemones Data | |
| amacrine | Hughes' Amacrine Cell Data | |
| affine.owin | Apply Affine Transformation To Window | |
| bronzefilter | Bronze gradient filter data | |
| LennardJones | The Lennard-Jones Potential | |
| ants | Harkness-Isham ants' nests data | |
| as.rectangle | Window Frame | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| colourmap | Colour Lookup Tables | |
| fasp.object | Function Arrays for Spatial Patterns | |
| expand.owin | Expand Window By Factor | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| as.im | Convert to Pixel Image | |
| OrdThresh | Ord's Interaction model | |
| as.ppp | Convert Data To Class ppp | |
| bdist.points | Distance to Boundary of Window | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| as.psp | Convert Data To Class psp | |
| Kest | K-function | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| Jest | Estimate the J-function | |
| intersect.tess | Intersection of Two Tessellations | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| hyperframe | Hyper Data Frame | |
| dilation | Morphological Dilation | |
| Replace.im | Reset Values in Subset of Image | |
| distmap.ppp | Distance Map of Point Pattern | |
| clickpoly | Interactively Define a Polygon | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| copper | Berman-Huntington points and lines data | |
| bei | Tropical rain forest trees | |
| spatstat-internal | Internal spatstat functions | |
| corners | Corners of a rectangle | |
| area.owin | Area of a Window | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| pppmatching | Create a Point Matching | |
| Poisson | Poisson Point Process Model | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| lengths.psp | Lengths of Line Segments | |
| chorley | Chorley-Ribble Cancer Data | |
| discpartarea | Area of Part of Disc | |
| contour.im | Contour plot of pixel image | |
| append.psp | Combine Two Line Segment Patterns | |
| bdist.pixels | Distance to Boundary of Window | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| convexhull | Convex Hull | |
| levelset | Level Set of a Pixel Image | |
| spatstat-deprecated | Deprecated spatstat functions | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| crossdist.default | Pairwise distances between two different sets of points | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| diameter | Diameter of a Window | |
| as.owin | Convert Data To Class owin | |
| ord.family | Ord Interaction Process Family | |
| bermantest | Berman's Tests for Point Process Model | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| distmap.owin | Distance Map of Window | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| mean.im | Mean, Median and Range of Pixel Values in an Image | |
| centroid.owin | Centroid of a window | |
| clarkevans | Clark and Evans Aggregation Index | |
| is.owin | Test Whether An Object Is A Window | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| heather | Diggle's Heather Data | |
| crossdist | Pairwise distances | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| psp.object | Class of Line Segment Patterns | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| plot.ppm | plot a Fitted Point Process Model | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| markvario | Mark Variogram | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| nndist | Nearest neighbour distances | |
| nncross | Nearest Neighbours Between Two Patterns | |
| eem | Exponential Energy Marks | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| quadratcount | Quadrat counting for a point pattern | |
| is.empty | Test Whether An Object Is Empty | |
| finpines | Pine saplings in Finland. | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| inside.owin | Test Whether Points Are Inside A Window | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| eval.hyper | Evaluate an Expression in Each Row of a Hyperframe | |
| plot.colourmap | Plot a Colour Map | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| nndist.psp | Nearest neighbour distances between line segments | |
| rthin | Random Thinning | |
| persp.im | Perspective Plot of Pixel Image | |
| plot.im | Plot a Pixel Image | |
| rSSI | Simulate Simple Sequential Inhibition | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| infline | Infinite Straight Lines | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| connected | Connected components of an image or window | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| plot.fasp | Plot a Function Array | |
| harmonic | Basis for Harmonic Functions | |
| erosion | Morphological Erosion | |
| kppm | Fit cluster point process model | |
| lurking | Lurking variable plot | |
| letterR | Window in Shape of Letter R | |
| rpoislinetess | Poisson Line Tessellation | |
| print.ppm | Print a Fitted Point Process Model | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| fryplot | Fry Plot of Point Pattern | |
| profilepl | Profile Maximum Pseudolikelihood | |
| pcf | Pair Correlation Function | |
| pairdist | Pairwise distances | |
| hamster | Aherne's hamster tumour data | |
| is.convex | Test Whether a Window is Convex | |
| is.marked | Test Whether Marks Are Present | |
| japanesepines | Japanese Pines Point Pattern | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| pairdist.default | Pairwise distances | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| plot.owin | Plot a Spatial Window | |
| hist.im | Histogram of Pixel Values in an Image | |
| ppm | Fit Point Process Model to Data | |
| distmap | Distance Map | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| im | Create a Pixel Image Object | |
| is.im | Test Whether An Object Is A Pixel Image | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| spatstat.options | Internal Options in Spatstat Package | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| intersect.owin | Intersection or Union of Two Windows | |
| distfun | Distance Map as a Function | |
| model.images | Compute Images of Constructed Covariates | |
| rsyst | Simulate systematic random point pattern | |
| tess | Create a Tessellation | |
| gridcentres | Rectangular grid of points | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| fv.object | Data Frames of Function Values | |
| identify.ppp | Identify Points in a Point Pattern | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| inforder.family | Infinite Order Interaction Family | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| convexhull.xy | Convex Hull of Points | |
| plot.kppm | Plot a fitted cluster point process | |
| ppp | Create a Point Pattern | |
| summary.quad | Summarizing a Quadrature Scheme | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| murchison | Murchison gold deposits | |
| reach | Interaction Distance of a Point Process | |
| shapley | Galaxies in the Shapley Supercluster | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| nztrees | New Zealand Trees Point Pattern | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| rpoisline | Generate Poisson Random Line Process | |
| interp.im | Interpolate a Pixel Image | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| cut.ppp | Classify Points in a Point Pattern | |
| rMosaicSet | Mosaic Random Set | |
| disc | Circular Window | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| is.multitype | Test whether Object is Multitype | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| ppp.object | Class of Point Patterns | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| markcorr | Mark Correlation Function | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| rThomas | Simulate Thomas Process | |
| quadrats | Divide Region into Quadrats | |
| dilated.areas | Areas of Morphological Dilations | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| mincontrast | Method of Minimum Contrast | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| pairdist.ppp | Pairwise distances | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| im.object | Class of Images | |
| rMaternII | Simulate Matern Model II | |
| localK | Neighbourhood density function | |
| summary.owin | Summary of a Spatial Window | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| pppmatching.object | Class of Point Matchings | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| progressreport | Print Progress Reports | |
| incircle | Find Largest Circle Inside Window | |
| ppm.object | Class of Fitted Point Process Models | |
| miplot | Morishita Index Plot | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| lansing | Lansing Woods Point Pattern | |
| print.owin | Print Brief Details of a Spatial Window | |
| owin.object | Class owin | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| owin | Create a Window | |
| plot.tess | Plot a tessellation | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| eroded.areas | Areas of Morphological Erosions | |
| project2segment | Move Point To Nearest Line | |
| plot.listof | Plot a List of Things | |
| spokes | Spokes pattern of dummy points | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| rotate.ppp | Rotate a Point Pattern | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| matchingdist | Distance for a Point Pattern Matching | |
| pppdist | Distance Between Two Point Patterns | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| print.im | Print Brief Details of an Image | |
| opening | Morphological Opening | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| rescale.owin | Convert Window to Another Unit of Length | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| pixellate.owin | Convert Window to Pixel Image | |
| plot.ppp | plot a Spatial Point Pattern | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| rmpoint | Generate N Random Multitype Points | |
| pairwise.family | Pairwise Interaction Process Family | |
| perimeter | Perimeter Length of Window | |
| longleaf | Longleaf Pines Point Pattern | |
| plot.bermantest | Plot Result of Berman Test | |
| print.quad | Print a Quadrature Scheme | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| markcorrint | Mark Correlation Integral | |
| lut | Lookup Tables | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| union.quad | Union of Data and Dummy Points | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| pcfcross | Multitype pair correlation function | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| ripras | Estimate window from points alone | |
| rstrat | Simulate Stratified Random Point Pattern | |
| rotate.owin | Rotate a Window | |
| psp | Create a Line Segment Pattern | |
| rMosaicField | Mosaic Random Field | |
| nnwhich | Nearest neighbour | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| rpoint | Generate N Random Points | |
| plot.splitppp | Plot a List of Point Patterns | |
| rMatClust | Simulate Matern Cluster Process | |
| rpoispp | Generate Poisson Point Pattern | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| rjitter | Random Perturbation of a Point Pattern | |
| setmarks | Set or Reset the Marks in a Point Pattern | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| square | Square Window | |
| unitname | Name for Unit of Length | |
| rotate | Rotate | |
| spruces | Spruces Point Pattern | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| quantile.im | Sample Quantiles of Pixel Image | |
| rshift | Random Shift | |
| markconnect | Mark Connection Function | |
| scanpp | Read Point Pattern From Data File | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| summary.splitppp | Summary of a Split Point Pattern | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| rlabel | Random Re-Labelling of Point Pattern | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| pixellate | Convert Spatial Object to Pixel Image | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| runifpoint | Generate N Uniform Random Points | |
| shift.owin | Apply Vector Translation To Window | |
| shift | Apply Vector Translation | |
| tiles | Extract List of Tiles in a Tessellation | |
| swedishpines | Swedish Pines Point Pattern | |
| with.fv | Evaluate an Expression in a Function Table | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| pairdist.psp | Pairwise distances between line segments | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| split.im | Divide Image Into Sub-images | |
| rotate.psp | Rotate a Line Segment Pattern | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| trim.rectangle | Cut margins from rectangle | |
| spatstat-package | The Spatstat Package | |
| shift.im | Apply Vector Translation To Pixel Image | |
| unmark | Remove Marks | |
| simdat | Simulated Point Pattern | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| setcov | Set Covariance of a Window | |
| summary.im | Summarizing a Pixel Image | |
| superimpose | Superimpose Several Point Patterns | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| summary.listof | Summary of a List of Things | |
| suffstat | Sufficient Statistic of Point Process Model | |
| update.ppm | Update a Fitted Point Process Model | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| urkiola | Urkiola Woods Point Pattern | |
| plot.fv | Plot Function Values | |
| quad.object | Class of Quadrature Schemes | |
| rMaternI | Simulate Matern Model I | |
| rescale | Convert dataset to another unit of length | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| vertices | Vertices of a Window | |
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Details
| Date | 22 october 2009 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2009-10-22 20:51:58 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2009-10-22 18:37:53 |
| depends | base (>= 2.9.0) , deldir (>= 0.0-7) , gpclib , graphics , mgcv , R (>= 2.9.0) , stats , utils |
| suggests | maptools , rpanel , sm , tkrplot |
| Contributors | Rolf Turner, Adrian Baddeley |
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