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A B C D E F G H I J K L M N O P Q R S T U V W misc
| spatstat-package | The Spatstat Package |
| %mark% | Marks of a Point Pattern |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation |
| affine | Apply Affine Transformation |
| affine.owin | Apply Affine Transformation To Window |
| affine.ppp | Apply Affine Transformation To Point Pattern |
| affine.psp | Apply Affine Transformation To Line Segment Pattern |
| allstats | Calculate four standard summary functions of a point pattern. |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern |
| amacrine | Hughes' Amacrine Cell Data |
| anemones | Beadlet Anemones Data |
| angles.psp | Orientation Angles of Line Segments |
| anova.ppm | ANOVA for Fitted Point Process Models |
| ants | Harkness-Isham ants' nests data |
| ants.extra | Harkness-Isham ants' nests data |
| append.psp | Combine Two Line Segment Patterns |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern |
| area.owin | Area of a Window |
| areaGain | Difference of Disc Areas |
| AreaInter | The Area Interaction Point Process Model |
| areaLoss | Difference of Disc Areas |
| as.box3 | Convert Data to Three-Dimensional Box |
| as.data.frame.im | Convert Pixel Image to Data Frame |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame |
| as.data.frame.ppx | Extract coordinates and marks of multidimensional point pattern |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame |
| as.hyperframe | Convert Data to Hyperframe |
| as.hyperframe.data.frame | Convert Data to Hyperframe |
| as.hyperframe.default | Convert Data to Hyperframe |
| as.hyperframe.hyperframe | Convert Data to Hyperframe |
| as.hyperframe.listof | Convert Data to Hyperframe |
| as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern |
| as.im | Convert to Pixel Image |
| as.im.default | Convert to Pixel Image |
| as.im.function | Convert to Pixel Image |
| as.im.im | Convert to Pixel Image |
| as.im.owin | Convert to Pixel Image |
| as.im.ppp | Convert Point Pattern to Pixel Image |
| as.im.tess | Convert to Pixel Image |
| as.mask | Pixel Image Approximation of a Window |
| as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask |
| as.matrix.im | Convert Pixel Image to Matrix |
| as.owin | Convert Data To Class owin |
| as.owin.data.frame | Convert Data To Class owin |
| as.owin.default | Convert Data To Class owin |
| as.owin.distfun | Convert Data To Class owin |
| as.owin.gpc.poly | Convert Data To Class owin |
| as.owin.im | Convert Data To Class owin |
| as.owin.owin | Convert Data To Class owin |
| as.owin.ppm | Convert Data To Class owin |
| as.owin.ppp | Convert Data To Class owin |
| as.owin.psp | Convert Data To Class owin |
| as.owin.quad | Convert Data To Class owin |
| as.owin.tess | Convert Data To Class owin |
| as.polygonal | Convert a Window to a Polygonal Window |
| as.ppp | Convert Data To Class ppp |
| as.ppp.data.frame | Convert Data To Class ppp |
| as.ppp.default | Convert Data To Class ppp |
| as.ppp.matrix | Convert Data To Class ppp |
| as.ppp.ppp | Convert Data To Class ppp |
| as.ppp.quad | Convert Data To Class ppp |
| as.psp | Convert Data To Class psp |
| as.psp.data.frame | Convert Data To Class psp |
| as.psp.default | Convert Data To Class psp |
| as.psp.matrix | Convert Data To Class psp |
| as.psp.owin | Convert Data To Class psp |
| as.psp.psp | Convert Data To Class psp |
| as.rectangle | Window Frame |
| as.tess | Convert Data To Tessellation |
| as.tess.im | Convert Data To Tessellation |
| as.tess.list | Convert Data To Tessellation |
| as.tess.owin | Convert Data To Tessellation |
| as.tess.quadratcount | Convert Data To Tessellation |
| as.tess.quadrattest | Convert Data To Tessellation |
| as.tess.tess | Convert Data To Tessellation |
| BadGey | Hybrid Geyer Point Process Model |
| bdist.pixels | Distance to Boundary of Window |
| bdist.points | Distance to Boundary of Window |
| bdist.tiles | Distance to Boundary of Window |
| bei | Tropical rain forest trees |
| bei.extra | Tropical rain forest trees |
| bermantest | Berman's Tests for Point Process Model |
| bermantest.ppm | Berman's Tests for Point Process Model |
| bermantest.ppp | Berman's Tests for Point Process Model |
| betacells | Beta Ganglion Cells in Cat Retina |
| betacells.extra | Beta Ganglion Cells in Cat Retina |
| bind.fv | Combine Function Value Tables |
| blur | Apply Gaussian Blur to a Pixel Image |
| border | Border Region of a Window |
| bounding.box | Bounding Box of a Window or Point Pattern |
| bounding.box.xy | Convex Hull of Points |
| box3 | Three-Dimensional Box |
| bramblecanes | Hutchings' Bramble Canes data |
| bronzefilter | Bronze gradient filter data |
| by.im | Apply Function to Image Broken Down by Factor |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor |
| cbind.fv | Combine Function Value Tables |
| cells | Biological Cells Point Pattern |
| centroid.owin | Centroid of a window |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines |
| chorley | Chorley-Ribble Cancer Data |
| chorley.extra | Chorley-Ribble Cancer Data |
| clarkevans | Clark and Evans Aggregation Index |
| clickpoly | Interactively Define a Polygon |
| clickppp | Interactively Add Points |
| clip.infline | Intersect Infinite Straight Lines with a Window |
| closing | Morphological Closing |
| closing.owin | Morphological Closing |
| closing.ppp | Morphological Closing |
| closing.psp | Morphological Closing |
| coef.ppm | Coefficients of Fitted Point Process Model |
| collapse.fv | Collapse Several Function Tables into One |
| colourmap | Colour Lookup Tables |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible |
| compatible.fv | Test Whether Two Function Objects Are Compatible |
| compatible.im | Test Whether Two Pixel Images Are Compatible |
| complement.owin | Take Complement of a Window |
| concatxy | Concatenate x,y Coordinate Vectors |
| connected | Connected components of an image or window |
| contour.im | Contour plot of pixel image |
| convexhull | Convex Hull |
| convexhull.xy | Convex Hull of Points |
| coords | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern |
| coords.ppp | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern |
| coords.ppx | Extract Coordinates of a Spatial or Spatiotemporal Point Pattern |
| copper | Berman-Huntington points and lines data |
| corners | Corners of a rectangle |
| crossdist | Pairwise distances |
| crossdist.default | Pairwise distances between two different sets of points |
| crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns |
| crossdist.ppp | Pairwise distances between two different point patterns |
| crossdist.psp | Pairwise distances between two different line segment patterns |
| crossing.psp | Crossing Points of Two Line Segment Patterns |
| cut.im | Convert Pixel Image from Numeric to Factor |
| cut.ppp | Classify Points in a Point Pattern |
| data.ppm | Extract Original Data from a Fitted Point Process Model |
| default.dummy | Generate a Default Pattern of Dummy Points |
| delaunay | Delaunay Triangulation of Point Pattern |
| deltametric | Delta Metric |
| demopat | Artificial Data Point Pattern |
| density.ppp | Kernel Smoothed Intensity of Point Pattern |
| density.psp | Kernel Smoothing of Line Segment Pattern |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model |
| diameter | Diameter of a Window |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box |
| DiggleGratton | Diggle-Gratton model |
| dilated.areas | Areas of Morphological Dilations |
| dilation | Morphological Dilation |
| dilation.owin | Morphological Dilation |
| dilation.ppp | Morphological Dilation |
| dilation.psp | Morphological Dilation |
| dirichlet | Dirichlet Tessellation of Point Pattern |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation |
| disc | Circular Window |
| discpartarea | Area of Part of Disc |
| discretise | Safely Convert Point Pattern Window to Binary Mask |
| distfun | Distance Map as a Function |
| distfun.owin | Distance Map as a Function |
| distfun.ppp | Distance Map as a Function |
| distfun.psp | Distance Map as a Function |
| distmap | Distance Map |
| distmap.owin | Distance Map of Window |
| distmap.ppp | Distance Map of Point Pattern |
| distmap.psp | Distance Map of Line Segment Pattern |
| dknn | Theoretical Distribution of Nearest Neighbour Distance |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern |
| eem | Exponential Energy Marks |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model |
| Emark | Diagnostics for random marking |
| empty.space | Estimate the empty space function F |
| endpoints.psp | Endpoints of Line Segment Pattern |
| envelope | Simulation Envelopes of Summary Function |
| envelope.kppm | Simulation Envelopes of Summary Function |
| envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern |
| envelope.ppm | Simulation Envelopes of Summary Function |
| envelope.ppp | Simulation Envelopes of Summary Function |
| eroded.areas | Areas of Morphological Erosions |
| eroded.volumes | Geometrical Calculations for Three-Dimensional Box |
| erosion | Morphological Erosion |
| erosion.owin | Morphological Erosion |
| erosion.ppp | Morphological Erosion |
| erosion.psp | Morphological Erosion |
| eval.fasp | Evaluate Expression Involving Function Arrays |
| eval.fv | Evaluate Expression Involving Functions |
| eval.im | Evaluate Expression Involving Pixel Images |
| ewcdf | Weighted Empirical Cumulative Distribution Function |
| expand.owin | Expand Window By Factor |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern |
| fasp.object | Function Arrays for Spatial Patterns |
| Fest | Estimate the empty space function F |
| finpines | Pine saplings in Finland. |
| finpines.extra | Pine saplings in Finland. |
| fitin | Extract the Interaction from a Fitted Point Process Model |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model |
| fryplot | Fry Plot of Point Pattern |
| frypoints | Fry Plot of Point Pattern |
| fv | Create a Function Value Table |
| fv.object | Data Frames of Function Values |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) |
| Gest | Nearest Neighbour Distance Function G |
| Geyer | Geyer's Saturation Point Process Model |
| Gfox | Foxall's Distance Functions |
| Gmulti | Marked Nearest Neighbour Distance Function |
| gpc2owin | Convert Polygonal Region into Different Format |
| gridcenters | Rectangular grid of points |
| gridcentres | Rectangular grid of points |
| gridweights | Compute Quadrature Weights Based on Grid Counts |
| hamster | Aherne's hamster tumour data |
| Hardcore | The Hard Core Point Process Model |
| harmonic | Basis for Harmonic Functions |
| heather | Diggle's Heather Data |
| Hest | Spherical Contact Distribution Function |
| hist.im | Histogram of Pixel Values in an Image |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma |
| humberside.convex | Humberside Data on Childhood Leukaemia and Lymphoma |
| hyperframe | Hyper Data Frame |
| identify.ppp | Identify Points in a Point Pattern |
| Iest | Estimate the I-function |
| im | Create a Pixel Image Object |
| im.object | Class of Images |
| image.im | Plot a Pixel Image |
| incircle | Find Largest Circle Inside Window |
| infline | Infinite Straight Lines |
| inforder.family | Infinite Order Interaction Family |
| inside.owin | Test Whether Points Are Inside A Window |
| integral.im | Integral of a Pixel Image |
| interp.im | Interpolate a Pixel Image |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows |
| intersect.tess | Intersection of Two Tessellations |
| iplot | Point and Click Interface for Displaying a Point Pattern |
| is.convex | Test Whether a Window is Convex |
| is.empty | Test Whether An Object Is Empty |
| is.empty.default | Test Whether An Object Is Empty |
| is.empty.owin | Test Whether An Object Is Empty |
| is.empty.ppp | Test Whether An Object Is Empty |
| is.empty.psp | Test Whether An Object Is Empty |
| is.im | Test Whether An Object Is A Pixel Image |
| is.marked | Test Whether Marks Are Present |
| is.marked.ppm | Test Whether A Point Process Model is Marked |
| is.marked.ppp | Test Whether A Point Pattern is Marked |
| is.multitype | Test whether Object is Multitype |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype |
| is.owin | Test Whether An Object Is A Window |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model |
| is.ppp | Test Whether An Object Is A Point Pattern |
| is.subset.owin | Determine Whether One Window is Contained In Another |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern |
| japanesepines | Japanese Pines Point Pattern |
| Jcross | Multitype J Function (i-to-j) |
| Jdot | Multitype J Function (i-to-any) |
| Jest | Estimate the J-function |
| Jfox | Foxall's Distance Functions |
| Jmulti | Marked J Function |
| K3est | K-function of a Three-Dimensional Point Pattern |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data |
| Kcross | Multitype K Function (Cross-type) |
| Kcross.inhom | Inhomogeneous Cross K Function |
| Kdot | Multitype K Function (i-to-any) |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function |
| Kest | K-function |
| Kest.fft | K-function using FFT |
| Kinhom | Inhomogeneous K-function |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms |
| Kmeasure | Reduced Second Moment Measure |
| Kmulti | Marked K-Function |
| kppm | Fit cluster point process model |
| kstest | Kolmogorov-Smirnov Test for Point Process Model |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model |
| kstest.ppp | Kolmogorov-Smirnov Test for Point Process Model |
| lansing | Lansing Woods Point Pattern |
| latest.news | Print News About Latest Version of Package |
| Lcross | Multitype L-function (cross-type) |
| Lcross.inhom | Inhomogeneous Cross Type L Function |
| Ldot | Multitype L-function (i-to-any) |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function |
| lengths.psp | Lengths of Line Segments |
| LennardJones | The Lennard-Jones Potential |
| Lest | L-function |
| letterR | Window in Shape of Letter R |
| levelset | Level Set of a Pixel Image |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast |
| Linhom | L-function |
| localK | Neighbourhood density function |
| localL | Neighbourhood density function |
| logLik.ppm | Log Likelihood for Poisson Point Process Model |
| longleaf | Longleaf Pines Point Pattern |
| lurking | Lurking variable plot |
| lut | Lookup Tables |
| markconnect | Mark Connection Function |
| markcorr | Mark Correlation Function |
| markcorrint | Mark Correlation Integral |
| markmean | Spatial smoothing of observations at irregular points |
| marks | Marks of a Point Pattern |
| marks.ppp | Marks of a Point Pattern |
| marks.ppx | Marks of a Point Pattern |
| marks<- | Marks of a Point Pattern |
| marks<-.ppp | Marks of a Point Pattern |
| marks<-.ppx | Marks of a Point Pattern |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern |
| markvar | Spatial smoothing of observations at irregular points |
| markvario | Mark Variogram |
| matchingdist | Distance for a Point Pattern Matching |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast |
| mean.im | Mean, Median and Range of Pixel Values in an Image |
| median.im | Mean, Median and Range of Pixel Values in an Image |
| midpoints.psp | Midpoints of Line Segment Pattern |
| mincontrast | Method of Minimum Contrast |
| miplot | Morishita Index Plot |
| model.images | Compute Images of Constructed Covariates |
| model.matrix.ppm | Extract Design Matrix from Point Process Model |
| multiplicity.ppp | Count Multiplicity of Duplicate Points |
| MultiStrauss | The Multitype Strauss Point Process Model |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model |
| murchison | Murchison gold deposits |
| nbextras | Point Patterns of New Brunswick Forest Fires |
| nbfires | Point Patterns of New Brunswick Forest Fires |
| nbw.rect | Point Patterns of New Brunswick Forest Fires |
| nearest.neighbour | Nearest Neighbour Distance Function G |
| nearest.raster.point | Find Pixel Nearest to a Given Point |
| nearestsegment | Find Line Segment Nearest to Each Point |
| nnclean | Nearest Neighbour Clutter Removal |
| nnclean.pp3 | Nearest Neighbour Clutter Removal |
| nnclean.ppp | Nearest Neighbour Clutter Removal |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| nncross | Nearest Neighbours Between Two Patterns |
| nndist | Nearest neighbour distances |
| nndist.default | Nearest neighbour distances |
| nndist.pp3 | Nearest neighbour distances in three dimensions |
| nndist.ppp | Nearest neighbour distances |
| nndist.psp | Nearest neighbour distances between line segments |
| nnmean | Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| nnvario | Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| nnwhich | Nearest neighbour |
| nnwhich.default | Nearest neighbour |
| nnwhich.pp3 | Nearest neighbours in three dimensions |
| nnwhich.ppp | Nearest neighbour |
| npoints | Number of Points in a Point Pattern |
| npoints.pp3 | Number of Points in a Point Pattern |
| npoints.ppp | Number of Points in a Point Pattern |
| npoints.ppx | Number of Points in a Point Pattern |
| nztrees | New Zealand Trees Point Pattern |
| opening | Morphological Opening |
| opening.owin | Morphological Opening |
| opening.ppp | Morphological Opening |
| opening.psp | Morphological Opening |
| Ord | Generic Ord Interaction model |
| ord.family | Ord Interaction Process Family |
| OrdThresh | Ord's Interaction model |
| owin | Create a Window |
| owin.object | Class owin |
| owin2gpc | Convert Polygonal Region into Different Format |
| pairdist | Pairwise distances |
| pairdist.default | Pairwise distances |
| pairdist.pp3 | Pairwise distances in Three Dimensions |
| pairdist.ppp | Pairwise distances |
| pairdist.psp | Pairwise distances between line segments |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model |
| pairsat.family | Saturated Pairwise Interaction Point Process Family |
| Pairwise | Generic Pairwise Interaction model |
| pairwise.family | Pairwise Interaction Process Family |
| pcf | Pair Correlation Function |
| pcf.fasp | Pair Correlation Function obtained from array of K functions |
| pcf.fv | Pair Correlation Function obtained from K Function |
| pcf.ppp | Pair Correlation Function of Point Pattern |
| pcfcross | Multitype pair correlation function (cross-type) |
| pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) |
| pcfdot | Multitype pair correlation function (i-to-any) |
| pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) |
| pcfinhom | Inhomogeneous Pair Correlation Function |
| perimeter | Perimeter Length of Window |
| periodify | Make Periodic Copies of a Spatial Pattern |
| periodify.owin | Make Periodic Copies of a Spatial Pattern |
| periodify.ppp | Make Periodic Copies of a Spatial Pattern |
| periodify.psp | Make Periodic Copies of a Spatial Pattern |
| persp.im | Perspective Plot of Pixel Image |
| pixellate | Convert Spatial Object to Pixel Image |
| pixellate.owin | Convert Window to Pixel Image |
| pixellate.ppp | Convert Point Pattern to Pixel Image |
| pixellate.psp | Convert Line Segment Pattern to Pixel Image |
| pixelquad | Quadrature Scheme Based on Pixel Grid |
| pknn | Theoretical Distribution of Nearest Neighbour Distance |
| plot.bermantest | Plot Result of Berman Test |
| plot.colourmap | Plot a Colour Map |
| plot.diagppm | Diagnostic Plots for Fitted Point Process Model |
| plot.fasp | Plot a Function Array |
| plot.fv | Plot Function Values |
| plot.hyperframe | Plot Entries in a Hyperframe |
| plot.im | Plot a Pixel Image |
| plot.infline | Infinite Straight Lines |
| plot.kppm | Plot a fitted cluster point process |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test |
| plot.listof | Plot a List of Things |
| plot.owin | Plot a Spatial Window |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm |
| plot.pp3 | Plot a three-dimensional point pattern |
| plot.ppm | plot a Fitted Point Process Model |
| plot.ppp | plot a Spatial Point Pattern |
| plot.ppx | Methods for Multidimensional Space-Time Point Patterns |
| plot.psp | plot a Spatial Line Segment Pattern |
| plot.quad | plot a Spatial Quadrature Scheme |
| plot.splitppp | Plot a List of Point Patterns |
| plot.tess | Plot a tessellation |
| pointsOnLines | Place Points Evenly Along Specified Lines |
| Poisson | Poisson Point Process Model |
| ponderosa | Ponderosa Pine Tree Point Pattern |
| ponderosa.extra | Ponderosa Pine Tree Point Pattern |
| pp3 | Three Dimensional Point Pattern |
| ppm | Fit Point Process Model to Data |
| ppm.object | Class of Fitted Point Process Models |
| ppp | Create a Point Pattern |
| ppp.object | Class of Point Patterns |
| pppdist | Distance Between Two Point Patterns |
| pppmatching | Create a Point Matching |
| pppmatching.object | Class of Point Matchings |
| ppx | Multidimensional Space-Time Point Pattern |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model |
| predict.ppm | Prediction from a Fitted Point Process Model |
| print.box3 | Methods for Three-Dimensional Box |
| print.im | Print Brief Details of an Image |
| print.infline | Infinite Straight Lines |
| print.owin | Print Brief Details of a Spatial Window |
| print.pp3 | Methods for three-dimensional point patterns |
| print.ppm | Print a Fitted Point Process Model |
| print.ppp | Print Brief Details of a Point Pattern Dataset |
| print.ppx | Methods for Multidimensional Space-Time Point Patterns |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset |
| print.quad | Print a Quadrature Scheme |
| print.summary.im | Summarizing a Pixel Image |
| print.summary.pp3 | Methods for three-dimensional point patterns |
| print.summary.ppm | Summarizing a Fitted Point Process Model |
| print.summary.quad | Summarizing a Quadrature Scheme |
| profilepl | Profile Maximum Pseudolikelihood |
| progressreport | Print Progress Reports |
| project2segment | Move Point To Nearest Line |
| psp | Create a Line Segment Pattern |
| psp.object | Class of Line Segment Patterns |
| qknn | Theoretical Distribution of Nearest Neighbour Distance |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model |
| quad.object | Class of Quadrature Schemes |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.ppm | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.ppp | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern |
| quadratcount | Quadrat counting for a point pattern |
| quadratcount.ppp | Quadrat counting for a point pattern |
| quadratcount.splitppp | Quadrat counting for a point pattern |
| quadratresample | Resample a Point Pattern by Resampling Quadrats |
| quadrats | Divide Region into Quadrats |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern |
| quantile.im | Sample Quantiles of Pixel Image |
| range.im | Mean, Median and Range of Pixel Values in an Image |
| raster.x | Cartesian Coordinates for a Pixel Raster |
| raster.y | Cartesian Coordinates for a Pixel Raster |
| rcell | Simulate Baddeley-Silverman Cell Process |
| reach | Interaction Distance of a Point Process |
| reach.interact | Interaction Distance of a Point Process |
| reach.ppm | Interaction Distance of a Point Process |
| reach.rmhmodel | Interaction Distance of a Point Process |
| reduced.sample | Reduced Sample Estimator using Histogram Data |
| redwood | California Redwoods Point Pattern (Ripley's Subset) |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) |
| redwoodfull.extra | California Redwoods Point Pattern (Entire Dataset) |
| rescale | Convert dataset to another unit of length |
| rescale.im | Convert Pixel Image to Another Unit of Length |
| rescale.owin | Convert Window to Another Unit of Length |
| rescale.ppp | Convert Point Pattern to Another Unit of Length |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length |
| rescue.rectangle | Convert Window Back To Rectangle |
| reset.spatstat.options | Internal Options in Spatstat Package |
| residuals.ppm | Residuals for Fitted Point Process Model |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals |
| rGaussPoisson | Simulate Gauss-Poisson Process |
| ripras | Estimate window from points alone |
| rjitter | Random Perturbation of a Point Pattern |
| rknn | Theoretical Distribution of Nearest Neighbour Distance |
| rlabel | Random Re-Labelling of Point Pattern |
| rlinegrid | Generate grid of parallel lines with random displacement |
| rMatClust | Simulate Matern Cluster Process |
| rMaternI | Simulate Matern Model I |
| rMaternII | Simulate Matern Model II |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. |
| rmh.ppm | Simulate from a Fitted Point Process Model |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. |
| rmhcontrol.default | Set Control Parameters for Metropolis-Hastings Algorithm. |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. |
| rmhstart.default | Determine Initial State for Metropolis-Hastings Simulation. |
| rMosaicField | Mosaic Random Field |
| rMosaicSet | Mosaic Random Set |
| rmpoint | Generate N Random Multitype Points |
| rmpoispp | Generate Multitype Poisson Point Pattern |
| rNeymanScott | Simulate Neyman-Scott Process |
| rotate | Rotate |
| rotate.owin | Rotate a Window |
| rotate.ppp | Rotate a Point Pattern |
| rotate.psp | Rotate a Line Segment Pattern |
| rpoint | Generate N Random Points |
| rpoisline | Generate Poisson Random Line Process |
| rpoislinetess | Poisson Line Tessellation |
| rpoispp | Generate Poisson Point Pattern |
| rpoispp3 | Generate Poisson Point Pattern in Three Dimensions |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments |
| rshift | Random Shift |
| rshift.ppp | Randomly Shift a Point Pattern |
| rshift.psp | Randomly Shift a Line Segment Pattern |
| rshift.splitppp | Randomly Shift a List of Point Patterns |
| rSSI | Simulate Simple Sequential Inhibition |
| rstrat | Simulate Stratified Random Point Pattern |
| rStrauss | Perfect Simulation of the Strauss Process |
| rsyst | Simulate systematic random point pattern |
| rthin | Random Thinning |
| rThomas | Simulate Thomas Process |
| runifdisc | Generate N Uniform Random Points in a Disc |
| runifpoint | Generate N Uniform Random Points |
| runifpoint3 | Generate N Uniform Random Points in Three Dimensions |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model |
| Saturated | Saturated Pairwise Interaction model |
| scanpp | Read Point Pattern From Data File |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern |
| setcov | Set Covariance of a Window |
| setmarks | Marks of a Point Pattern |
| setminus.owin | Intersection, Union or Set Subtraction of Two Windows |
| shapley | Galaxies in the Shapley Supercluster |
| shapley.extra | Galaxies in the Shapley Supercluster |
| shift | Apply Vector Translation |
| shift.im | Apply Vector Translation To Pixel Image |
| shift.owin | Apply Vector Translation To Window |
| shift.ppp | Apply Vector Translation To Point Pattern |
| shift.psp | Apply Vector Translation To Line Segment Pattern |
| shortside.box3 | Geometrical Calculations for Three-Dimensional Box |
| simdat | Simulated Point Pattern |
| simplify.owin | Approximate a Polygon by a Simpler Polygon |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model |
| smooth.ppp | Spatial smoothing of observations at irregular points |
| Softcore | The Soft Core Point Process Model |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True |
| spatstat | The Spatstat Package |
| spatstat.options | Internal Options in Spatstat Package |
| split.im | Divide Image Into Sub-images |
| split.ppp | Divide Point Pattern into Sub-patterns |
| split<-.ppp | Divide Point Pattern into Sub-patterns |
| spokes | Spokes pattern of dummy points |
| spruces | Spruces Point Pattern |
| square | Square Window |
| stieltjes | Compute Integral of Function Against Cumulative Distribution |
| Strauss | The Strauss Point Process Model |
| StraussHard | The Strauss / Hard Core Point Process Model |
| suffstat | Sufficient Statistic of Point Process Model |
| summary.im | Summarizing a Pixel Image |
| summary.listof | Summary of a List of Things |
| summary.owin | Summary of a Spatial Window |
| summary.pp3 | Methods for three-dimensional point patterns |
| summary.ppm | Summarizing a Fitted Point Process Model |
| summary.ppp | Summary of a Point Pattern Dataset |
| summary.psp | Summary of a Line Segment Pattern Dataset |
| summary.quad | Summarizing a Quadrature Scheme |
| summary.splitppp | Summary of a Split Point Pattern |
| superimpose | Superimpose Several Point Patterns |
| superimposePSP | Superimpose Several Line Segment Patterns |
| swedishpines | Swedish Pines Point Pattern |
| tess | Create a Tessellation |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast |
| tiles | Extract List of Tiles in a Tessellation |
| trim.rectangle | Cut margins from rectangle |
| union.owin | Intersection, Union or Set Subtraction of Two Windows |
| union.quad | Union of Data and Dummy Points |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern |
| unit.square | Square Window |
| unitname | Name for Unit of Length |
| unitname.box3 | Methods for Three-Dimensional Box |
| unitname.im | Name for Unit of Length |
| unitname.owin | Name for Unit of Length |
| unitname.pp3 | Methods for three-dimensional point patterns |
| unitname.ppp | Name for Unit of Length |
| unitname.psp | Name for Unit of Length |
| unitname<- | Name for Unit of Length |
| unitname<-.box3 | Methods for Three-Dimensional Box |
| unitname<-.im | Name for Unit of Length |
| unitname<-.owin | Name for Unit of Length |
| unitname<-.pp3 | Methods for three-dimensional point patterns |
| unitname<-.ppp | Name for Unit of Length |
| unitname<-.psp | Name for Unit of Length |
| unmark | Remove Marks |
| unmark.ppp | Remove Marks |
| unmark.psp | Remove Marks |
| unmark.splitppp | Remove Marks |
| update.kppm | Update a Fitted Cluster Point Process Model |
| update.ppm | Update a Fitted Point Process Model |
| urkiola | Urkiola Woods Point Pattern |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model |
| vertices | Vertices of a Window |
| Vmark | Diagnostics for random marking |
| volume.box3 | Geometrical Calculations for Three-Dimensional Box |
| whist | Weighted Histogram |
| with.fv | Evaluate an Expression in a Function Table |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe |
| [.fasp | Extract Subset of Function Array |
| [.fv | Extract Subset of Function Values |
| [.im | Extract Subset of Image |
| [.ppp | Extract or Replace Subset of Point Pattern |
| [.psp | Extract Subset of Line Segment Pattern |
| [.quad | Subset of Quadrature Scheme |
| [.splitppp | Extract or Replace Sub-Patterns |
| [.tess | Extract or Replace Subset of Tessellation |
| [<-.im | Reset Values in Subset of Image |
| [<-.listof | Extract or Replace Subset of a List of Things |
| [<-.ppp | Extract or Replace Subset of Point Pattern |
| [<-.quad | Subset of Quadrature Scheme |
| [<-.splitppp | Extract or Replace Sub-Patterns |
| [<-.tess | Extract or Replace Subset of Tessellation |