spatstat v1.18-3
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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. 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 | |
| DiggleGratton | Diggle-Gratton model | |
| Gest | Nearest Neighbour Distance Function G | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| Gfox | Foxall's Distance Functions | |
| Softcore | The Soft Core Point Process Model | |
| Kest.fft | K-function using FFT | |
| BadGey | Hybrid Geyer Point Process Model | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| areaGain | Difference of Disc Areas | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| K3est | K-function of a Three-Dimensional Point Pattern | |
| Extract.quad | Subset of Quadrature Scheme | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| Ldot | Multitype L-function (i-to-any) | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| distmap | Distance Map | |
| AreaInter | The Area Interaction Point Process Model | |
| chorley | Chorley-Ribble Cancer Data | |
| closing | Morphological Closing | |
| Ord | Generic Ord Interaction model | |
| Saturated | Saturated Pairwise Interaction model | |
| demopat | Artificial Data Point Pattern | |
| diameter | Diameter of a Window | |
| as.box3 | Convert Data to Three-Dimensional Box | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| LennardJones | The Lennard-Jones Potential | |
| Lest | L-function | |
| Jest | Estimate the J-function | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| bermantest | Berman's Tests for Point Process Model | |
| cut.ppp | Classify Points in a Point Pattern | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| Jdot | Multitype J Function (i-to-any) | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| as.im | Convert to Pixel Image | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| affine.owin | Apply Affine Transformation To Window | |
| Pairwise | Generic Pairwise Interaction model | |
| as.owin | Convert Data To Class owin | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| as.rectangle | Window Frame | |
| distmap.ppp | Distance Map of Point Pattern | |
| append.psp | Combine Two Line Segment Patterns | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| border | Border Region of a Window | |
| corners | Corners of a rectangle | |
| clickppp | Interactively Add Points | |
| amacrine | Hughes' Amacrine Cell Data | |
| colourmap | Colour Lookup Tables | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| anemones | Beadlet Anemones Data | |
| dilated.areas | Areas of Morphological Dilations | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| bdist.points | Distance to Boundary of Window | |
| Kest | K-function | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| area.owin | Area of a Window | |
| convexhull.xy | Convex Hull of Points | |
| centroid.owin | Centroid of a window | |
| as.data.frame.im | Convert Pixel Image to Data Frame | |
| envelope | Simulation Envelopes of Summary Function | |
| bdist.pixels | Distance to Boundary of Window | |
| hyperframe | Hyper Data Frame | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| intersect.tess | Intersection of Two Tessellations | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| Jmulti | Marked J Function | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| Fest | Estimate the empty space function F | |
| bind.fv | Combine Function Value Tables | |
| convexhull | Convex Hull | |
| expand.owin | Expand Window By Factor | |
| Replace.im | Reset Values in Subset of Image | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| Extract.fasp | Extract Subset of Function Array | |
| Iest | Estimate the I-function | |
| eroded.areas | Areas of Morphological Erosions | |
| as.ppp | Convert Data To Class ppp | |
| discpartarea | Area of Part of Disc | |
| Extract.fv | Extract Subset of Function Values | |
| dilation | Morphological Dilation | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| Lcross | Multitype L-function (cross-type) | |
| clarkevans | Clark and Evans Aggregation Index | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| Hardcore | The Hard Core Point Process Model | |
| Kinhom | Inhomogeneous K-function | |
| Kcross | Multitype K Function (Cross-type) | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| Strauss | The Strauss Point Process Model | |
| Geyer | Geyer's Saturation Point Process Model | |
| cells | Biological Cells Point Pattern | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| Extract.im | Extract Subset of Image | |
| disc | Circular Window | |
| Kmulti | Marked K-Function | |
| nnwhich | Nearest neighbour | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| lengths.psp | Lengths of Line Segments | |
| connected | Connected components of an image or window | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| as.tess | Convert Data To Tessellation | |
| erosion | Morphological Erosion | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| Emark | Diagnostics for random marking | |
| as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| Jcross | Multitype J Function (i-to-j) | |
| crossdist | Pairwise distances | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| pairdist.psp | Pairwise distances between line segments | |
| ppp | Create a Point Pattern | |
| copper | Berman-Huntington points and lines data | |
| ppm | Fit Point Process Model to Data | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| angles.psp | Orientation Angles of Line Segments | |
| Hest | Spherical Contact Distribution Function | |
| markvario | Mark Variogram | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| OrdThresh | Ord's Interaction model | |
| Poisson | Poisson Point Process Model | |
| im.object | Class of Images | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern | |
| Kdot | Multitype K Function (i-to-any) | |
| ants | Harkness-Isham ants' nests data | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| fv.object | Data Frames of Function Values | |
| is.empty | Test Whether An Object Is Empty | |
| bdist.tiles | Distance to Boundary of Window | |
| box3 | Three-Dimensional Box | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| affine | Apply Affine Transformation | |
| as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask | |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern | |
| inside.owin | Test Whether Points Are Inside A Window | |
| collapse.fv | Collapse Several Function Tables into One | |
| areaLoss | Difference of Disc Areas | |
| crossdist.default | Pairwise distances between two different sets of points | |
| methods.box3 | Methods for Three-Dimensional Box | |
| eval.fv | Evaluate Expression Involving Functions | |
| as.mask | Pixel Image Approximation of a Window | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| as.psp | Convert Data To Class psp | |
| distmap.owin | Distance Map of Window | |
| bei | Tropical rain forest trees | |
| harmonic | Basis for Harmonic Functions | |
| is.multitype | Test whether Object is Multitype | |
| as.hyperframe | Convert Data to Hyperframe | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| profilepl | Profile Maximum Pseudolikelihood | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| spatstat-deprecated | Deprecated spatstat functions | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| japanesepines | Japanese Pines Point Pattern | |
| clickpoly | Interactively Define a Polygon | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| hist.im | Histogram of Pixel Values in an Image | |
| plot.fv | Plot Function Values | |
| contour.im | Contour plot of pixel image | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| levelset | Level Set of a Pixel Image | |
| bramblecanes | Hutchings' Bramble Canes data | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| rescale | Convert dataset to another unit of length | |
| progressreport | Print Progress Reports | |
| infline | Infinite Straight Lines | |
| bronzefilter | Bronze gradient filter data | |
| interp.im | Interpolate a Pixel Image | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| is.marked | Test Whether Marks Are Present | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| finpines | Pine saplings in Finland. | |
| owin.object | Class owin | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| is.im | Test Whether An Object Is A Pixel Image | |
| inforder.family | Infinite Order Interaction Family | |
| markcorr | Mark Correlation Function | |
| mincontrast | Method of Minimum Contrast | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| miplot | Morishita Index Plot | |
| heather | Diggle's Heather Data | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| by.im | Apply Function to Image Broken Down by Factor | |
| Kmeasure | Reduced Second Moment Measure | |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| Linhom | L-function | |
| plot.splitppp | Plot a List of Point Patterns | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| complement.owin | Take Complement of a Window | |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |
| coords | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| pppdist | Distance Between Two Point Patterns | |
| integral.im | Integral of a Pixel Image | |
| bounding.box.xy | Convex Hull of Points | |
| nndist | Nearest neighbour distances | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| fasp.object | Function Arrays for Spatial Patterns | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| identify.ppp | Identify Points in a Point Pattern | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| nnwhich.pp3 | Nearest neighbours in three dimensions | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| ppx | Multidimensional Space-Time Point Pattern | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| is.owin | Test Whether An Object Is A Window | |
| distfun | Distance Map as a Function | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| deltametric | Delta Metric | |
| ord.family | Ord Interaction Process Family | |
| marks | Marks of a Point Pattern | |
| eem | Exponential Energy Marks | |
| fv | Create a Function Value Table | |
| methods.pp3 | Methods for three-dimensional point patterns | |
| im | Create a Pixel Image Object | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| rotate | Rotate | |
| model.images | Compute Images of Constructed Covariates | |
| plot.im | Plot a Pixel Image | |
| perimeter | Perimeter Length of Window | |
| rotate.ppp | Rotate a Point Pattern | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| quad.object | Class of Quadrature Schemes | |
| plot.bermantest | Plot Result of Berman Test | |
| incircle | Find Largest Circle Inside Window | |
| localK | Neighbourhood density function | |
| nndist.psp | Nearest neighbour distances between line segments | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| spatstat-internal | Internal spatstat functions | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| runifpoint | Generate N Uniform Random Points | |
| methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| rotate.owin | Rotate a Window | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| plot.listof | Plot a List of Things | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| plot.colourmap | Plot a Colour Map | |
| pairdist.pp3 | Pairwise distances in Three Dimensions | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| pairwise.family | Pairwise Interaction Process Family | |
| summary.quad | Summarizing a Quadrature Scheme | |
| lansing | Lansing Woods Point Pattern | |
| hamster | Aherne's hamster tumour data | |
| print.quad | Print a Quadrature Scheme | |
| plot.kppm | Plot a fitted cluster point process | |
| is.convex | Test Whether a Window is Convex | |
| pppmatching | Create a Point Matching | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| plot.pp3 | Plot a three-dimensional point pattern | |
| murchison | Murchison gold deposits | |
| longleaf | Longleaf Pines Point Pattern | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| pixellate.owin | Convert Window to Pixel Image | |
| ppp.object | Class of Point Patterns | |
| kppm | Fit cluster point process model | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| nndist.pp3 | Nearest neighbour distances in three dimensions | |
| plot.fasp | Plot a Function Array | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| matchingdist | Distance for a Point Pattern Matching | |
| print.im | Print Brief Details of an Image | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| npoints | Number of Points in a Point Pattern | |
| rSSI | Simulate Simple Sequential Inhibition | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| print.ppm | Print a Fitted Point Process Model | |
| pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| plot.tess | Plot a tessellation | |
| unitname | Name for Unit of Length | |
| pppmatching.object | Class of Point Matchings | |
| pcfinhom | Inhomogeneous Pair Correlation Function | |
| pixellate.psp | Convert Line Segment Pattern to Pixel Image | |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |
| letterR | Window in Shape of Letter R | |
| fryplot | Fry Plot of Point Pattern | |
| nncross | Nearest Neighbours Between Two Patterns | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| plot.owin | Plot a Spatial Window | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| rmpoint | Generate N Random Multitype Points | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| pixellate | Convert Spatial Object to Pixel Image | |
| mean.im | Mean, Median and Range of Pixel Values in an Image | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| markconnect | Mark Connection Function | |
| psp.object | Class of Line Segment Patterns | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| lut | Lookup Tables | |
| plot.ppp | plot a Spatial Point Pattern | |
| lurking | Lurking variable plot | |
| gridcentres | Rectangular grid of points | |
| markcorrint | Mark Correlation Integral | |
| scanpp | Read Point Pattern From Data File | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| periodify | Make Periodic Copies of a Spatial Pattern | |
| rknn | Theoretical Distribution of Nearest Neighbour Distance | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| rlabel | Random Re-Labelling of Point Pattern | |
| rMaternII | Simulate Matern Model II | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| latest.news | Print News About Latest Version of Package | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| nnclean | Nearest Neighbour Clutter Removal | |
| update.ppm | Update a Fitted Point Process Model | |
| rescale.owin | Convert Window to Another Unit of Length | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| nztrees | New Zealand Trees Point Pattern | |
| pairdist | Pairwise distances | |
| plot.ppm | plot a Fitted Point Process Model | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| pcf | Pair Correlation Function | |
| owin | Create a Window | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| rMaternI | Simulate Matern Model I | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |
| pairdist.default | Pairwise distances | |
| whist | Weighted Histogram | |
| rthin | Random Thinning | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| rshift | Random Shift | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| shift.im | Apply Vector Translation To Pixel Image | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| simdat | Simulated Point Pattern | |
| pcfdot | Multitype pair correlation function (i-to-any) | |
| with.fv | Evaluate an Expression in a Function Table | |
| persp.im | Perspective Plot of Pixel Image | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| pp3 | Three Dimensional Point Pattern | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| pcfcross | Multitype pair correlation function (cross-type) | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| rsyst | Simulate systematic random point pattern | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| tiles | Extract List of Tiles in a Tessellation | |
| urkiola | Urkiola Woods Point Pattern | |
| opening | Morphological Opening | |
| pairdist.ppp | Pairwise distances | |
| project2segment | Move Point To Nearest Line | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| quadrats | Divide Region into Quadrats | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| summary.owin | Summary of a Spatial Window | |
| spatstat-package | The Spatstat Package | |
| union.quad | Union of Data and Dummy Points | |
| superimpose | Superimpose Several Point Patterns | |
| reach | Interaction Distance of a Point Process | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| shapley | Galaxies in the Shapley Supercluster | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| ppm.object | Class of Fitted Point Process Models | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| rMosaicSet | Mosaic Random Set | |
| print.owin | Print Brief Details of a Spatial Window | |
| quantile.im | Sample Quantiles of Pixel Image | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| rThomas | Simulate Thomas Process | |
| rMatClust | Simulate Matern Cluster Process | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| smooth.fv | Apply Smoothing to Function Values | |
| ripras | Estimate window from points alone | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| setcov | Set Covariance of a Window | |
| summary.im | Summarizing a Pixel Image | |
| quadratcount | Quadrat counting for a point pattern | |
| vertices | Vertices of a Window | |
| spruces | Spruces Point Pattern | |
| shift.owin | Apply Vector Translation To Window | |
| rpoislinetess | Poisson Line Tessellation | |
| shift | Apply Vector Translation | |
| psp | Create a Line Segment Pattern | |
| suffstat | Sufficient Statistic of Point Process Model | |
| rMosaicField | Mosaic Random Field | |
| rjitter | Random Perturbation of a Point Pattern | |
| rpoisline | Generate Poisson Random Line Process | |
| tess | Create a Tessellation | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| rstrat | Simulate Stratified Random Point Pattern | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| summary.listof | Summary of a List of Things | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| summary.splitppp | Summary of a Split Point Pattern | |
| rpoint | Generate N Random Points | |
| rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| rotate.psp | Rotate a Line Segment Pattern | |
| split.im | Divide Image Into Sub-images | |
| rpoispp | Generate Poisson Point Pattern | |
| square | Square Window | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| spatstat.options | Internal Options in Spatstat Package | |
| spokes | Spokes pattern of dummy points | |
| swedishpines | Swedish Pines Point Pattern | |
| trim.rectangle | Cut margins from rectangle | |
| unmark | Remove Marks | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| No Results! | ||
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Details
| Date | 2010-04-19 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2010-04-19 09:28:23 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2010-04-19 12:23:42 |
| 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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