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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 misc
| spatstat-package | The Spatstat Package |
| %mark% | Set or Reset the Marks in a Point Pattern |
| 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 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 |
| append.psp | Combine Two Line Segment Patterns |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern |
| area.owin | Area of a Window |
| as.im | Convert to Pixel Image |
| as.mask | Pixel Image Approximation of a Window |
| as.matrix.im | Convert Pixel Image to Matrix |
| as.owin | Convert Data To Class owin |
| as.ppp | Convert Data To Class ppp |
| as.psp | Convert Data To Class psp |
| as.rectangle | Window Frame |
| bdist.pixels | Distance to Boundary of Window |
| bdist.points | Distance to Boundary of Window |
| bei | Tropical rain forest trees |
| betacells | Beta Ganglion Cells in Cat Retina |
| bounding.box | Bounding Box of a Window or Point Pattern |
| bounding.box.xy | Convex Hull of Points |
| bramblecanes | Hutchings' Bramble Canes data |
| cells | Biological Cells Point Pattern |
| centroid.owin | Centroid of a window |
| chorley | Chorley-Ribble Cancer Data |
| clickpoly | Interactively Define a Polygon |
| clickppp | Interactively Add Points |
| coef.ppm | Coefficients of Fitted Point Process Model |
| 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 |
| contour.im | Contour plot of pixel image |
| convexhull.xy | Convex Hull of Points |
| 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.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 | Convert Point Pattern Marks from Numeric to Factor |
| data.ppm | Extract Original Data from a Fitted Point Process Model |
| default.dummy | Generate a Default Pattern of Dummy Points |
| 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 |
| DiggleGratton | Diggle-Gratton model |
| dilate.owin | Dilate a Window |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation |
| disc | Circular Window |
| distmap | Distance Map |
| distmap.owin | Distance Map of Window |
| distmap.ppp | Distance Map of Point Pattern |
| distmap.psp | Distance Map of Line Segment Pattern |
| 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 |
| empty.space | Estimate the empty space function F |
| endpoints.psp | Endpoints of Line Segment Pattern |
| envelope | Simulation envelopes of summary function |
| erode.owin | Erode a Window |
| eroded.areas | Areas of Morphological Erosions |
| 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 |
| fasp.object | Function Arrays for Spatial Patterns |
| Fest | Estimate the empty space function F |
| finpines | Pine saplings in Finland. |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model |
| fv.object | Data Frames of Function Values |
| 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 |
| Gmulti | Marked Nearest Neighbour Distance Function |
| gridcenters | Rectangular grid of points |
| gridcentres | Rectangular grid of points |
| gridweights | Compute Quadrature Weights Based on Grid Counts |
| hamster | Aherne's hamster tumour data |
| harmonic | Basis for Harmonic Functions |
| hist.im | Histogram of Pixel Values in an Image |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma |
| 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 |
| inside.owin | Test Whether Points Are Inside A Window |
| interp.im | Interpolate a Pixel Image |
| intersect.owin | Intersection or Union of Two Windows |
| 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 |
| japanesepines | Japanese Pines Point Pattern |
| Jcross | Multitype J Function (i-to-j) |
| Jdot | Multitype J Function (i-to-any) |
| Jest | Estimate the J-function |
| Jmulti | Marked J Function |
| 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 |
| ks.test.ppm | Kolmogorov-Smirnov Test for Point Process Model |
| lansing | Lansing Woods Point Pattern |
| lengths.psp | Lengths of Line Segments |
| LennardJones | The Lennard-Jones Potential |
| 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 |
| longleaf | Longleaf Pines Point Pattern |
| lurking | Lurking variable plot |
| markcorr | Mark Correlation Function |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast |
| mean.im | Mean Pixel Value in an Image |
| midpoints.psp | Midpoints of Line Segment Pattern |
| mincontrast | Method of Minimum Contrast |
| multiplicity.ppp | Count Multiplicity of Duplicate Points |
| MultiStrauss | The Multitype Strauss Point Process Model |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model |
| 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 |
| nncorr | Nearest-Neighbour Correlation of Marked Point Pattern |
| nncross | Nearest Neighbour in Another Point Pattern |
| nndist | Nearest neighbour distances |
| nnwhich | Nearest neighbour |
| nztrees | New Zealand Trees Point Pattern |
| Ord | Generic Ord Interaction model |
| ord.family | Ord Interaction Process Family |
| OrdThresh | Ord's Interaction model |
| owin | Create a Window |
| owin.object | Class owin |
| pairdist | Pairwise distances |
| pairdist.default | Pairwise distances |
| 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 |
| persp.im | Perspective Plot of Pixel Image |
| plot.diagppm | Diagnostic Plots for Fitted Point Process Model |
| plot.fasp | Plot a Function Array |
| plot.fv | Plot Function Valuesn |
| plot.im | Plot a Pixel Image |
| plot.listof | Plot a List of Things |
| plot.owin | Plot a Spatial Window |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm |
| plot.ppm | plot a Fitted Point Process Model |
| plot.ppp | plot a Spatial Point Pattern |
| plot.psp | plot a Spatial Line Segment Pattern |
| plot.quad | plot a Spatial Quadrature Scheme |
| plot.splitppp | Plot a List of Point Patterns |
| Poisson | Poisson Point Process Model |
| 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 | Optimal Match Between Two Point Patterns |
| predict.ppm | Prediction from a Fitted Point Process Model |
| print.im | Print Brief Details of an Image |
| print.owin | Print Brief Details of a Spatial Window |
| print.ppm | Print a Fitted Point Process Model |
| print.ppp | Print Brief Details of a Point Pattern Dataset |
| 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.ppm | Summarizing a Fitted Point Process Model |
| print.summary.quad | Summarizing a Quadrature Scheme |
| profilepl | Profile Maximum Pseudolikelihood |
| progressreport | Print Progress Reports |
| psp | Create a Line Segment Pattern |
| psp.object | Class of Line Segment Patterns |
| 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 |
| quadratcount | Quadrat counting for a point pattern |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern |
| quantile.im | Sample Quantiles of Pixel 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 |
| reduced.sample | Reduced Sample Estimator using Histogram Data |
| redwood | California Redwoods Point Pattern (Ripley's Subset) |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) |
| rescale | Convert dataset 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 |
| residuals.ppm | Residuals for Fitted Point Process Model |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals |
| ripras | Estimate window from points alone |
| rlabel | Random Re-Labelling of Point Pattern |
| 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. |
| 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. |
| 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 |
| rpoispp | Generate Poisson Point Pattern |
| 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 |
| 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 | Set or Reset the Marks in a Point Pattern |
| 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 |
| simdat | Simulated Point Pattern |
| 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.ppp | Divide Point Pattern into Sub-patterns |
| spokes | Spokes pattern of dummy points |
| spruces | Spruces Point Pattern |
| square | Square Window |
| Strauss | The Strauss Point Process Model |
| StraussHard | The Strauss / Hard Core Point Process Model |
| subset.fasp | Extract Subset of Function Array |
| subset.fv | Extract Subset of Function Values |
| subset.im | Extract Subset of Image |
| subset.ppp | Extract or Replace Subset of Point Pattern |
| subset.psp | Extract Subset of Line Segment Pattern |
| 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.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 |
| swedishpines | Swedish Pines Point Pattern |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast |
| trim.rectangle | Cut margins from rectangle |
| union.owin | Intersection or Union 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 |
| units | Name for Unit of Length |
| unmark | Remove Marks from a Marked Point Pattern |
| update.ppm | Update a Fitted Point Process Model |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model |
| vertices | Vertices of a Window |
| [.fasp | Extract Subset of Function Array |
| [.fv | Extract Subset of Function Values |
| [.im | Extract Subset of Image |
| [.listof | Extract or Replace Subset of a List of Things |
| [.ppp | Extract or Replace Subset of Point Pattern |
| [.psp | Extract Subset of Line Segment Pattern |
| [.splitppp | Extract or Replace Sub-Patterns |