spatstat v1.15-4
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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 | |
| Gest | Nearest Neighbour Distance Function G | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| Kdot | Multitype K Function (i-to-any) | |
| lurking | Lurking variable plot | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| Saturated | Saturated Pairwise Interaction model | |
| Fest | Estimate the empty space function F | |
| as.im | Convert to Pixel Image | |
| LennardJones | The Lennard-Jones Potential | |
| Poisson | Poisson Point Process Model | |
| Jcross | Multitype J Function (i-to-j) | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| Kest | K-function | |
| bdist.pixels | Distance to Boundary of Window | |
| Extract.quad | Subset of Quadrature Scheme | |
| append.psp | Combine Two Line Segment Patterns | |
| distmap | Distance Map | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| Extract.fv | Extract Subset of Function Values | |
| copper | Berman-Huntington points and lines data | |
| corners | Corners of a rectangle | |
| model.images | Compute Images of Constructed Covariates | |
| lut | Lookup Tables | |
| Lest | L-function | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| as.rectangle | Window Frame | |
| as.owin | Convert Data To Class owin | |
| Kinhom | Inhomogeneous K-function | |
| Jdot | Multitype J Function (i-to-any) | |
| Emark | Diagnostics for random marking | |
| plot.ppp | plot a Spatial Point Pattern | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| spatstat-deprecated | Deprecated spatstat functions | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| Extract.im | Extract Subset of Image | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| crossdist | Pairwise distances | |
| as.psp | Convert Data To Class psp | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| ants | Harkness-Isham ants' nests data | |
| crossdist.default | Pairwise distances between two different sets of points | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| identify.ppp | Identify Points in a Point Pattern | |
| is.im | Test Whether An Object Is A Pixel Image | |
| OrdThresh | Ord's Interaction model | |
| markcorrint | Mark Correlation Integral | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| eem | Exponential Energy Marks | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| rescale.owin | Convert Window to Another Unit of Length | |
| diameter | Diameter of a Window | |
| as.ppp | Convert Data To Class ppp | |
| bounding.box.xy | Convex Hull of Points | |
| contour.im | Contour plot of pixel image | |
| Jest | Estimate the J-function | |
| Strauss | The Strauss Point Process Model | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| colourmap | Colour Lookup Tables | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| Replace.im | Reset Values in Subset of Image | |
| cells | Biological Cells Point Pattern | |
| hamster | Aherne's hamster tumour data | |
| Extract.fasp | Extract Subset of Function Array | |
| Hest | Spherical Contact Distribution Function | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| mincontrast | Method of Minimum Contrast | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| inside.owin | Test Whether Points Are Inside A Window | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| opening.owin | Morphological Opening of a Window | |
| pcf | Pair Correlation Function | |
| nncross | Nearest Neighbours Between Two Patterns | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| plot.im | Plot a Pixel Image | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| project2segment | Move Point To Nearest Line | |
| rpoisline | Generate Poisson Random Line Process | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| nndist.psp | Nearest neighbour distances between line segments | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| pixellate | Convert Point Pattern to Pixel Image | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| Kcross | Multitype K Function (Cross-type) | |
| area.owin | Area of a Window | |
| pairdist.ppp | Pairwise distances | |
| pairdist | Pairwise distances | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| plot.owin | Plot a Spatial Window | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| print.im | Print Brief Details of an Image | |
| simdat | Simulated Point Pattern | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| erode.owin | Erode a Window | |
| rMatClust | Simulate Matern Cluster Process | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| as.matrix.im | Convert Pixel Image to Matrix | |
| centroid.owin | Centroid of a window | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| pairwise.family | Pairwise Interaction Process Family | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| rMaternII | Simulate Matern Model II | |
| bdist.points | Distance to Boundary of Window | |
| summary.quad | Summarizing a Quadrature Scheme | |
| AreaInter | The Area Interaction Point Process Model | |
| rMaternI | Simulate Matern Model I | |
| rsyst | Simulate systematic random point pattern | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| inforder.family | Infinite Order Interaction Family | |
| rotate | Rotate | |
| chorley | Chorley-Ribble Cancer Data | |
| angles.psp | Orientation Angles of Line Segments | |
| unitname | Name for Unit of Length | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| affine.owin | Apply Affine Transformation To Window | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| ppp.object | Class of Point Patterns | |
| hist.im | Histogram of Pixel Values in an Image | |
| rotate.ppp | Rotate a Point Pattern | |
| rMosaicSet | Mosaic Random Set | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| pairdist.psp | Pairwise distances between line segments | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| closing.owin | Morphological Closing of a Window | |
| anemones | Beadlet Anemones Data | |
| eval.fv | Evaluate Expression Involving Functions | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| BadGey | Hybrid Geyer Point Process Model | |
| intersect.owin | Intersection or Union of Two Windows | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| rescale | Convert dataset to another unit of length | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| rMosaicField | Mosaic Random Field | |
| complement.owin | Take Complement of a Window | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| clickpoly | Interactively Define a Polygon | |
| Jmulti | Marked J Function | |
| is.marked | Test Whether Marks Are Present | |
| distmap.owin | Distance Map of Window | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| hyperframe | Hyper Data Frame | |
| with.fv | Evaluate an Expression in a Function Table | |
| levelset | Level Set of a Pixel Image | |
| rstrat | Simulate Stratified Random Point Pattern | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| plot.ppm | plot a Fitted Point Process Model | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| distmap.ppp | Distance Map of Point Pattern | |
| Kmulti | Marked K-Function | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| split.im | Divide Image Into Sub-images | |
| rotate.psp | Rotate a Line Segment Pattern | |
| rotate.owin | Rotate a Window | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| summary.listof | Summary of a List of Things | |
| Kmeasure | Reduced Second Moment Measure | |
| pppmatching | Create a Point Matching | |
| mean.im | Mean, Median and Range of Pixel Values in an Image | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| nztrees | New Zealand Trees Point Pattern | |
| affine | Apply Affine Transformation | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| Ldot | Multitype L-function (i-to-any) | |
| heather | Diggle's Heather Data | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| square | Square Window | |
| bei | Tropical rain forest trees | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| bramblecanes | Hutchings' Bramble Canes data | |
| japanesepines | Japanese Pines Point Pattern | |
| finpines | Pine saplings in Finland. | |
| im.object | Class of Images | |
| trim.rectangle | Cut margins from rectangle | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| Ord | Generic Ord Interaction model | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| areadiff | Difference of Disc Areas | |
| eroded.areas | Areas of Morphological Erosions | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| Lcross | Multitype L-function (cross-type) | |
| intersect.tess | Intersection of Two Tessellations | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| is.multitype | Test whether Object is Multitype | |
| tiles | Extract List of Tiles in a Tessellation | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| Softcore | The Soft Core Point Process Model | |
| demopat | Artificial Data Point Pattern | |
| plot.colourmap | Plot a Colour Map | |
| plot.listof | Plot a List of Things | |
| plot.fasp | Plot a Function Array | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| cut.ppp | Classify Points in a Point Pattern | |
| spatstat.options | Internal Options in Spatstat Package | |
| simulate.kppm | Simulate a fitted cluster point process model. | |
| expand.owin | Expand Window By Factor | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| shift | Apply Vector Translation | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| print.quad | Print a Quadrature Scheme | |
| Kest.fft | K-function using FFT | |
| profilepl | Profile Maximum Pseudolikelihood | |
| spatstat | The Spatstat Package | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| lansing | Lansing Woods Point Pattern | |
| rpoispp | Generate Poisson Point Pattern | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| incircle | Find Largest Circle Inside Window | |
| Geyer | Geyer's Saturation Point Process Model | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| infline | Infinite Straight Lines | |
| markcorr | Mark Correlation Function | |
| rshift | Random Shift | |
| disc | Circular Window | |
| fasp.object | Function Arrays for Spatial Patterns | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| progressreport | Print Progress Reports | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| DiggleGratton | Diggle-Gratton model | |
| nnwhich | Nearest neighbour | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| runifpoint | Generate N Uniform Random Points | |
| vertices | Vertices of a Window | |
| suffstat | Sufficient Statistic of Point Process Model | |
| gridcentres | Rectangular grid of points | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| clickppp | Interactively Add Points | |
| Linhom | L-function | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| spokes | Spokes pattern of dummy points | |
| convexhull.xy | Convex Hull of Points | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| ppm | Fit Point Process Model to Data | |
| shift.im | Apply Vector Translation To Pixel Image | |
| plot.fv | Plot Function Valuesn | |
| Pairwise | Generic Pairwise Interaction model | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| urkiola | Urkiola Woods Point Pattern | |
| psp.object | Class of Line Segment Patterns | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| ord.family | Ord Interaction Process Family | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| clarkevans | Clark and Evans Aggregation Index | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| as.mask | Pixel Image Approximation of a Window | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| pppmatching.object | Class of Point Matchings | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| shift.owin | Apply Vector Translation To Window | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| amacrine | Hughes' Amacrine Cell Data | |
| rpoislinetess | Poisson Line Tessellation | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| by.im | Apply Function to Image Broken Down by Factor | |
| miplot | Morishita Index Plot | |
| lengths.psp | Lengths of Line Segments | |
| matchingdist | Distance for a Point Pattern Matching | |
| envelope | Simulation envelopes of summary function | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| quantile.im | Sample Quantiles of Pixel Image | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| quad.object | Class of Quadrature Schemes | |
| letterR | Window in Shape of Letter R | |
| setmarks | Set or Reset the Marks in a Point Pattern | |
| dilate.owin | Dilate a Window | |
| longleaf | Longleaf Pines Point Pattern | |
| as.tess | Convert Data To Tessellation | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| summary.im | Summarizing a Pixel Image | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| plot.tess | Plot a tessellation | |
| markconnect | Mark Connection Function | |
| markvario | Mark Variogram | |
| is.owin | Test Whether An Object Is A Window | |
| reach | Interaction Distance of a Point Process | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| tess | Create a Tessellation | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| owin | Create a Window | |
| plot.splitppp | Plot a List of Point Patterns | |
| update.ppm | Update a Fitted Point Process Model | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| owin.object | Class owin | |
| fv.object | Data Frames of Function Values | |
| interp.im | Interpolate a Pixel Image | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| spatstat-internal | Internal spatstat functions | |
| superimpose | Superimpose Several Point Patterns | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| unmark | Remove Marks | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| ppm.object | Class of Fitted Point Process Models | |
| fryplot | Fry Plot of Point Pattern | |
| rpoint | Generate N Random Points | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| harmonic | Basis for Harmonic Functions | |
| union.quad | Union of Data and Dummy Points | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| pairdist.default | Pairwise distances | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| ppp | Create a Point Pattern | |
| quadratcount | Quadrat counting for a point pattern | |
| psp | Create a Line Segment Pattern | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| kppm | Fit cluster point process model | |
| quadrats | Divide Region into Quadrats | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| pcfcross | Multitype pair correlation function | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| scanpp | Read Point Pattern From Data File | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| rmpoint | Generate N Random Multitype Points | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| localK | Neighbourhood density function | |
| murchison | Murchison gold deposits | |
| rThomas | Simulate Thomas Process | |
| rlabel | Random Re-Labelling of Point Pattern | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| print.ppm | Print a Fitted Point Process Model | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| plot.kppm | Plot a fitted cluster point process | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| connected | Connected components of an image or window | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| rjitter | Random Perturbation of a Point Pattern | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| rSSI | Simulate Simple Sequential Inhibition | |
| setcov | Set Covariance of a Window | |
| nndist | Nearest neighbour distances | |
| Iest | Estimate the I-function | |
| persp.im | Perspective Plot of Pixel Image | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| eval.hyper | Evaluate an Expression in Each Row of a Hyperframe | |
| ripras | Estimate window from points alone | |
| swedishpines | Swedish Pines Point Pattern | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| im | Create a Pixel Image Object | |
| spruces | Spruces Point Pattern | |
| rthin | Random Thinning | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| shapley | Galaxies in the Shapley Supercluster | |
| summary.owin | Summary of a Spatial Window | |
| summary.splitppp | Summary of a Split Point Pattern | |
| print.owin | Print Brief Details of a Spatial Window | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| pppdist | Distance Between Two Point Patterns | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| No Results! | ||
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Details
| Date | 11 June 2009 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2009-06-13 04:22:17 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2009-06-16 13:11:44 |
| depends | base (>= 2.7.0) , deldir (>= 0.0-7) , gpclib , graphics , mgcv , R (>= 2.7.0) , stats , utils |
| suggests | maptools , sm |
| Contributors | Rolf Turner, Adrian Baddeley |
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