spatstat v1.17-1
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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 | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| DiggleGratton | Diggle-Gratton model | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| closing | Morphological Closing | |
| Extract.im | Extract Subset of Image | |
| Geyer | Geyer's Saturation Point Process Model | |
| Kinhom | Inhomogeneous K-function | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| append.psp | Combine Two Line Segment Patterns | |
| Linhom | L-function | |
| bermantest | Berman's Tests for Point Process Model | |
| Kest | K-function | |
| connected | Connected components of an image or window | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| Hest | Spherical Contact Distribution Function | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| as.rectangle | Window Frame | |
| Extract.quad | Subset of Quadrature Scheme | |
| as.box3 | Convert Data to Three-Dimensional Box | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| hyperframe | Hyper Data Frame | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| Gest | Nearest Neighbour Distance Function G | |
| bronzefilter | Bronze gradient filter data | |
| coords | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern | |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern | |
| BadGey | Hybrid Geyer Point Process Model | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| deltametric | Delta Metric | |
| Kmeasure | Reduced Second Moment Measure | |
| Emark | Diagnostics for random marking | |
| pppmatching.object | Class of Point Matchings | |
| Jest | Estimate the J-function | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| cells | Biological Cells Point Pattern | |
| Poisson | Poisson Point Process Model | |
| chorley | Chorley-Ribble Cancer Data | |
| expand.owin | Expand Window By Factor | |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |
| clickpoly | Interactively Define a Polygon | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| Replace.im | Reset Values in Subset of Image | |
| areaLoss | Difference of Disc Areas | |
| fasp.object | Function Arrays for Spatial Patterns | |
| heather | Diggle's Heather Data | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| nztrees | New Zealand Trees Point Pattern | |
| nndist.psp | Nearest neighbour distances between line segments | |
| Extract.fv | Extract Subset of Function Values | |
| dilation | Morphological Dilation | |
| Jcross | Multitype J Function (i-to-j) | |
| Pairwise | Generic Pairwise Interaction model | |
| hist.im | Histogram of Pixel Values in an Image | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| spatstat-internal | Internal spatstat functions | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| Saturated | Saturated Pairwise Interaction model | |
| rstrat | Simulate Stratified Random Point Pattern | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| rotate | Rotate | |
| complement.owin | Take Complement of a Window | |
| affine | Apply Affine Transformation | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| diameter | Diameter of a Window | |
| area.owin | Area of a Window | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| bounding.box.xy | Convex Hull of Points | |
| rthin | Random Thinning | |
| bei | Tropical rain forest trees | |
| Strauss | The Strauss Point Process Model | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| box3 | Three-Dimensional Box | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| pcf | Pair Correlation Function | |
| Fest | Estimate the empty space function F | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| is.im | Test Whether An Object Is A Pixel Image | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| spatstat.options | Internal Options in Spatstat Package | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| by.im | Apply Function to Image Broken Down by Factor | |
| Ldot | Multitype L-function (i-to-any) | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| crossdist.default | Pairwise distances between two different sets of points | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| OrdThresh | Ord's Interaction model | |
| Kest.fft | K-function using FFT | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| spatstat-deprecated | Deprecated spatstat functions | |
| pixellate.owin | Convert Window to Pixel Image | |
| ppx | Multidimensional Space-Time Point Pattern | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| rlabel | Random Re-Labelling of Point Pattern | |
| distmap | Distance Map | |
| Jmulti | Marked J Function | |
| setmarks | Set or Reset the Marks in a Point Pattern | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| contour.im | Contour plot of pixel image | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| as.ppp | Convert Data To Class ppp | |
| summary.listof | Summary of a List of Things | |
| inforder.family | Infinite Order Interaction Family | |
| lansing | Lansing Woods Point Pattern | |
| as.mask | Pixel Image Approximation of a Window | |
| anemones | Beadlet Anemones Data | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| finpines | Pine saplings in Finland. | |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| Ord | Generic Ord Interaction model | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| crossdist | Pairwise distances | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| angles.psp | Orientation Angles of Line Segments | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| pp3 | Three Dimensional Point Pattern | |
| gridcentres | Rectangular grid of points | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| is.marked | Test Whether Marks Are Present | |
| shift | Apply Vector Translation | |
| reach | Interaction Distance of a Point Process | |
| as.im | Convert to Pixel Image | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| pairwise.family | Pairwise Interaction Process Family | |
| as.owin | Convert Data To Class owin | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| as.tess | Convert Data To Tessellation | |
| disc | Circular Window | |
| miplot | Morishita Index Plot | |
| Softcore | The Soft Core Point Process Model | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| distmap.ppp | Distance Map of Point Pattern | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| eroded.areas | Areas of Morphological Erosions | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| interp.im | Interpolate a Pixel Image | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| nndist | Nearest neighbour distances | |
| convexhull.xy | Convex Hull of Points | |
| cut.ppp | Classify Points in a Point Pattern | |
| K3est | K-function of a Three-Dimensional Point Pattern | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| progressreport | Print Progress Reports | |
| eval.fv | Evaluate Expression Involving Functions | |
| copper | Berman-Huntington points and lines data | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| vertices | Vertices of a Window | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| rmpoint | Generate N Random Multitype Points | |
| as.hyperframe | Convert Data to Hyperframe | |
| colourmap | Colour Lookup Tables | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| Kmulti | Marked K-Function | |
| square | Square Window | |
| shift.owin | Apply Vector Translation To Window | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| Kcross | Multitype K Function (Cross-type) | |
| border | Border Region of a Window | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| opening | Morphological Opening | |
| bramblecanes | Hutchings' Bramble Canes data | |
| quadratcount | Quadrat counting for a point pattern | |
| rMatClust | Simulate Matern Cluster Process | |
| plot.owin | Plot a Spatial Window | |
| murchison | Murchison gold deposits | |
| pcfcross | Multitype pair correlation function | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| centroid.owin | Centroid of a window | |
| harmonic | Basis for Harmonic Functions | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| rshift | Random Shift | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| kppm | Fit cluster point process model | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| discpartarea | Area of Part of Disc | |
| intersect.tess | Intersection of Two Tessellations | |
| psp | Create a Line Segment Pattern | |
| methods.box3 | Methods for Three-Dimensional Box | |
| spatstat-package | The Spatstat Package | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| plot.fv | Plot Function Values | |
| summary.splitppp | Summary of a Split Point Pattern | |
| Lest | L-function | |
| hamster | Aherne's hamster tumour data | |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| tiles | Extract List of Tiles in a Tessellation | |
| lurking | Lurking variable plot | |
| lengths.psp | Lengths of Line Segments | |
| bdist.points | Distance to Boundary of Window | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| Iest | Estimate the I-function | |
| nnwhich | Nearest neighbour | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| markcorrint | Mark Correlation Integral | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| pairdist.default | Pairwise distances | |
| LennardJones | The Lennard-Jones Potential | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| print.im | Print Brief Details of an Image | |
| AreaInter | The Area Interaction Point Process Model | |
| plot.ppm | plot a Fitted Point Process Model | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| distfun | Distance Map as a Function | |
| Lcross | Multitype L-function (cross-type) | |
| union.quad | Union of Data and Dummy Points | |
| markcorr | Mark Correlation Function | |
| as.psp | Convert Data To Class psp | |
| pppmatching | Create a Point Matching | |
| rpoint | Generate N Random Points | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| clarkevans | Clark and Evans Aggregation Index | |
| matchingdist | Distance for a Point Pattern Matching | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| model.images | Compute Images of Constructed Covariates | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| is.convex | Test Whether a Window is Convex | |
| pppdist | Distance Between Two Point Patterns | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| is.multitype | Test whether Object is Multitype | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| rThomas | Simulate Thomas Process | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| profilepl | Profile Maximum Pseudolikelihood | |
| split.im | Divide Image Into Sub-images | |
| ppm | Fit Point Process Model to Data | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| amacrine | Hughes' Amacrine Cell Data | |
| owin.object | Class owin | |
| identify.ppp | Identify Points in a Point Pattern | |
| rMosaicSet | Mosaic Random Set | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| is.empty | Test Whether An Object Is Empty | |
| infline | Infinite Straight Lines | |
| plot.splitppp | Plot a List of Point Patterns | |
| print.owin | Print Brief Details of a Spatial Window | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| Jdot | Multitype J Function (i-to-any) | |
| plot.colourmap | Plot a Colour Map | |
| rMaternII | Simulate Matern Model II | |
| summary.quad | Summarizing a Quadrature Scheme | |
| pairdist.psp | Pairwise distances between line segments | |
| rsyst | Simulate systematic random point pattern | |
| print.quad | Print a Quadrature Scheme | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| inside.owin | Test Whether Points Are Inside A Window | |
| runifpoint | Generate N Uniform Random Points | |
| plot.im | Plot a Pixel Image | |
| corners | Corners of a rectangle | |
| eem | Exponential Energy Marks | |
| plot.bermantest | Plot Result of Berman Test | |
| print.ppm | Print a Fitted Point Process Model | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| rotate.psp | Rotate a Line Segment Pattern | |
| project2segment | Move Point To Nearest Line | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| Extract.fasp | Extract Subset of Function Array | |
| dilated.areas | Areas of Morphological Dilations | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| superimpose | Superimpose Several Point Patterns | |
| distmap.owin | Distance Map of Window | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| setcov | Set Covariance of a Window | |
| pixellate | Convert Spatial Object to Pixel Image | |
| rescale.owin | Convert Window to Another Unit of Length | |
| quad.object | Class of Quadrature Schemes | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| trim.rectangle | Cut margins from rectangle | |
| affine.owin | Apply Affine Transformation To Window | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| urkiola | Urkiola Woods Point Pattern | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| simdat | Simulated Point Pattern | |
| levelset | Level Set of a Pixel Image | |
| plot.fasp | Plot a Function Array | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| rpoislinetess | Poisson Line Tessellation | |
| plot.tess | Plot a tessellation | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| rjitter | Random Perturbation of a Point Pattern | |
| ord.family | Ord Interaction Process Family | |
| rescale | Convert dataset to another unit of length | |
| fryplot | Fry Plot of Point Pattern | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| unitname | Name for Unit of Length | |
| japanesepines | Japanese Pines Point Pattern | |
| im.object | Class of Images | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| rotate.ppp | Rotate a Point Pattern | |
| markvario | Mark Variogram | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| shapley | Galaxies in the Shapley Supercluster | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| rpoisline | Generate Poisson Random Line Process | |
| plot.pp3 | Plot a three-dimensional point pattern | |
| methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |
| tess | Create a Tessellation | |
| shift.im | Apply Vector Translation To Pixel Image | |
| update.ppm | Update a Fitted Point Process Model | |
| with.fv | Evaluate an Expression in a Function Table | |
| scanpp | Read Point Pattern From Data File | |
| plot.ppp | plot a Spatial Point Pattern | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| markconnect | Mark Connection Function | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| summary.im | Summarizing a Pixel Image | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| rMosaicField | Mosaic Random Field | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| rpoispp | Generate Poisson Point Pattern | |
| owin | Create a Window | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| letterR | Window in Shape of Letter R | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| is.owin | Test Whether An Object Is A Window | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| ppp | Create a Point Pattern | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| psp.object | Class of Line Segment Patterns | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| localK | Neighbourhood density function | |
| incircle | Find Largest Circle Inside Window | |
| suffstat | Sufficient Statistic of Point Process Model | |
| spruces | Spruces Point Pattern | |
| nncross | Nearest Neighbours Between Two Patterns | |
| fv.object | Data Frames of Function Values | |
| summary.owin | Summary of a Spatial Window | |
| ppm.object | Class of Fitted Point Process Models | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| bdist.tiles | Distance to Boundary of Window | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| methods.pp3 | Methods for three-dimensional point patterns | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| persp.im | Perspective Plot of Pixel Image | |
| im | Create a Pixel Image Object | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| plot.listof | Plot a List of Things | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| rSSI | Simulate Simple Sequential Inhibition | |
| swedishpines | Swedish Pines Point Pattern | |
| longleaf | Longleaf Pines Point Pattern | |
| ppp.object | Class of Point Patterns | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| plot.kppm | Plot a fitted cluster point process | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| pairdist | Pairwise distances | |
| mincontrast | Method of Minimum Contrast | |
| Kdot | Multitype K Function (i-to-any) | |
| perimeter | Perimeter Length of Window | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| convexhull | Convex Hull | |
| areaGain | Difference of Disc Areas | |
| erosion | Morphological Erosion | |
| mean.im | Mean, Median and Range of Pixel Values in an Image | |
| envelope | Simulation envelopes of summary function | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| bdist.pixels | Distance to Boundary of Window | |
| ants | Harkness-Isham ants' nests data | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| clickppp | Interactively Add Points | |
| lut | Lookup Tables | |
| demopat | Artificial Data Point Pattern | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| ripras | Estimate window from points alone | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| quadrats | Divide Region into Quadrats | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| quantile.im | Sample Quantiles of Pixel Image | |
| unmark | Remove Marks | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| pairdist.ppp | Pairwise distances | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| rotate.owin | Rotate a Window | |
| rMaternI | Simulate Matern Model I | |
| spokes | Spokes pattern of dummy points | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
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Details
| Date | 04 november 2009 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2009-11-06 03:02:06 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2009-11-06 10:18:11 |
| 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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