spatstat v1.0-1
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Analysis of spatial point patterns
data analysis and modelling of two-dimensional point patterns,
including multitype points and spatial covariates
Functions in spatstat
| Name | Description | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| as.ppp | Convert Data To Class ppp | |
| Ord | Generic Ord Interaction model | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| affine | Apply Affine Transformation | |
| plot.fasp | Plot a Function Array | |
| Pairwise | Generic Pairwise Interaction model | |
| rotate.ppp | Rotate a Point Pattern | |
| Kdot | Multitype K Function (i-to-any) | |
| eroded.areas | Areas of Morphological Erosions | |
| erode.owin | Erode a Window | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| rMatClust | Simulate Matern Cluster Process | |
| print.ppm | Print a Fitted Point Process Model | |
| inside.owin | Test Whether Points Are Inside A Window | |
| alltypes | Calculate Statistic for All Types in a Multitype Point Pattern | |
| rpoispp | Generate Poisson Point Pattern | |
| lansing | Lansing Woods Point Pattern | |
| runifpoint | Generate N Uniform Random Points | |
| subset.ppp | Extract Subset of Point Pattern | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| Kest | K-function | |
| owin.object | Class owin | |
| kmrs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| diameter | Diameter of a Window Frame | |
| demopat | Artificial Data Point Pattern | |
| pcf | Pair Correlation Function | |
| plot.ppp | plot a Spatial Point Pattern | |
| Softcore | The Soft Core Point Process Model | |
| shift | Apply Vector Translation | |
| affine.owin | Apply Affine Transformation To Window | |
| Saturated | Saturated Pairwise Interaction model | |
| ppm.object | Class of Fitted Point Process Models | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| stratrand | Stratified random point pattern | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| catWaessle | Cat Retina Data | |
| rotate | Rotate | |
| Geyer | Geyer's Saturation Point Process Model | |
| Poisson | Poisson Point Process Model | |
| ppp | Create a Point Pattern | |
| union.quad | Union of Data and Dummy Points | |
| Strauss | The Strauss Point Process Model | |
| bramblecanes | Hutchings' Bramble Canes data | |
| unmark | Remove Marks from a Marked Point Pattern | |
| bounding.box | Bounding Box of a Window | |
| bdist.points | Distance to Boundary of Window | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| longleaf | Longleaf Pines Point Pattern | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| Jdot | Multitype J Function (i-to-any) | |
| Jcross | Multitype J Function (i-to-j) | |
| conspire | Plot Together According to a Formula | |
| mpl | Fit Point Process Model by Maximum Pseudolikelihood | |
| subset.fasp | Extract Subset of Function Array | |
| plot.owin | Plot a Spatial Window | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| superimpose | Superimpose Several Point Patterns | |
| spokes | Spokes pattern of dummy points | |
| owin | Create a Window | |
| quad.object | Class of Quadrature Schemes | |
| bdist.pixels | Distance to Boundary of Window | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| Kinhom | Inhomogeneous K-function | |
| catHughes | Hughes' Cat Retina Data | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| ppp.object | Class of Point Patterns | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| rotate.owin | Rotate a Window | |
| shift.owin | Apply Vector Translation To Window | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| spatstat-internal | Internal spatstat functions | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| Jest | Estimate the J-function | |
| redwood | California Redwoods Point Pattern | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| fasp.object | Function Arrays for Spatial Patterns | |
| as.mask | Pixel Image Approximation of a Window | |
| as.owin | Convert Data To Class owin | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| Gest | Nearest Neighbour Distance Function G | |
| Jmulti | Marked J Function | |
| Kmulti | Marked K-Function | |
| rMaternII | Simulate Matern Model II | |
| simdat | Simulated Point Pattern | |
| rSSI | Simple Sequential Inhibition | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| as.rectangle | Window Frame | |
| rMaternI | Simulate Matern Model I | |
| cells | Biological Cells Point Pattern | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| pairwise.family | Pairwise Interaction Process Family | |
| plot.ppm | plot a Fitted Point Process Model | |
| gridcentres | Rectangular grid of points | |
| nztrees | New Zealand Trees Point Pattern | |
| Fest | Estimate the empty space function F | |
| Kcross | Multitype K Function (Cross-type) | |
| area.owin | Area of a Window | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| swedishpines | Swedish Pines Point Pattern | |
| rThomas | Simulate Thomas Process | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| OrdThresh | Ord's Interaction model | |
| complement.owin | Take Complement of a Window | |
| corners | Corners of a rectangle | |
| ord.family | Ord Interaction Process Family | |
| No Results! | ||
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Details
| Date | 2001-08-08 |
| License | GPL version 2 or newer |
| URL | http://www.maths.uwa.edu.au/~adrian/spatstat.html |
| depends | base (>= 1.3.0) , R (>= 1.3.0) |
| Contributors | Rolf Turner, Adrian Baddeley |
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