A B C D E F G H I J K L M N O P Q R S T U V W Y Z misc
| spatstat-package | The Spatstat Package |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation |
| add.texture | Fill Plot With Texture |
| addvar | Added Variable Plot for Point Process Model |
| affine | Apply Affine Transformation |
| affine.im | Apply Affine Transformation To Pixel Image |
| affine.layered | Methods for Layered Objects |
| affine.linnet | Apply Geometrical Transformations to a Linear Network |
| affine.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| affine.owin | Apply Affine Transformation To Window |
| affine.ppp | Apply Affine Transformation To Point Pattern |
| affine.psp | Apply Affine Transformation To Line Segment Pattern |
| affine.tess | Apply Geometrical Transformation To Tessellation |
| AIC.ppm | Log Likelihood and AIC for Point Process Model |
| 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.lppm | ANOVA for Fitted Point Process Models on Linear Network |
| anova.mppm | ANOVA for Fitted Multiple Point Process Models |
| anova.ppm | ANOVA for Fitted Point Process Models |
| anova.slrm | Analysis of Deviance for Spatial Logistic Regression Models |
| ants | Harkness-Isham ants' nests data |
| ants.extra | Harkness-Isham ants' nests data |
| anyDuplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern |
| anyDuplicated.ppx | Determine Duplicated Points in a Spatial Point Pattern |
| anylapply | Apply a Function Over a List and Obtain a List of Objects |
| anylist | List of Objects |
| append.psp | Combine Two Line Segment Patterns |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern |
| area | Area of a Window |
| area.default | Area of a Window |
| area.owin | Area of a Window |
| areaGain | Difference of Disc Areas |
| AreaInter | The Area Interaction Point Process Model |
| areaLoss | Difference of Disc Areas |
| as.anylist | List of Objects |
| as.array.im | Convert Pixel Image to Matrix or Array |
| as.box3 | Convert Data to Three-Dimensional Box |
| as.data.frame.hyperframe | Coerce Hyperframe to Data Frame |
| 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.function.fv | Convert Function Value Table to Function |
| as.function.im | Convert Pixel Image to Function of Coordinates |
| as.function.linfun | Methods for Functions on Linear Network |
| as.function.rhohat | Convert Function Value Table to Function |
| as.fv | Convert Data To Class fv |
| as.fv.bw.optim | Convert Data To Class fv |
| as.fv.data.frame | Convert Data To Class fv |
| as.fv.fasp | Convert Data To Class fv |
| as.fv.fv | Convert Data To Class fv |
| as.fv.kppm | Convert Data To Class fv |
| as.fv.matrix | Convert Data To Class fv |
| as.fv.minconfit | Convert Data To Class fv |
| as.hyperframe | Convert Data to Hyperframe |
| as.hyperframe.anylist | 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.distfun | Convert to Pixel Image |
| as.im.function | Convert to Pixel Image |
| as.im.im | Convert to Pixel Image |
| as.im.leverage.ppm | Convert to Pixel Image |
| as.im.matrix | Convert to Pixel Image |
| as.im.nnfun | Convert to Pixel Image |
| as.im.owin | Convert to Pixel Image |
| as.im.ppp | Convert Point Pattern to Pixel Image |
| as.im.scan.test | Plot Result of Scan Test |
| as.im.Smoothfun | Convert to Pixel Image |
| as.im.tess | Convert to Pixel Image |
| as.interact | Extract Interaction Structure |
| as.interact.fii | Extract Interaction Structure |
| as.interact.interact | Extract Interaction Structure |
| as.interact.ppm | Extract Interaction Structure |
| as.layered | Convert Data To Layered Object |
| as.layered.default | Convert Data To Layered Object |
| as.layered.listof | Convert Data To Layered Object |
| as.layered.msr | Convert Data To Layered Object |
| as.layered.ppp | Convert Data To Layered Object |
| as.layered.solist | Convert Data To Layered Object |
| as.layered.splitppp | Convert Data To Layered Object |
| as.linim | Convert to Pixel Image on Linear Network |
| as.linim.default | Convert to Pixel Image on Linear Network |
| as.linim.linfun | Methods for Functions on Linear Network |
| as.linim.linim | Convert to Pixel Image on Linear Network |
| as.linnet | Methods for Linear Networks |
| as.linnet.linfun | Extract Linear Network from Data on a Linear Network |
| as.linnet.linim | Extract Linear Network from Data on a Linear Network |
| as.linnet.linnet | Methods for Linear Networks |
| as.linnet.lpp | Extract Linear Network from Data on a Linear Network |
| as.linnet.lppm | Methods for Fitted Point Process Models on a Linear Network |
| as.linnet.psp | Convert Line Segment Pattern to Linear Network |
| as.lpp | Convert Data to a Point Pattern on a Linear Network |
| 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 or Array |
| as.matrix.owin | Convert Pixel Image to Matrix |
| as.matrix.ppx | Extract coordinates and marks of multidimensional point pattern |
| as.owin | Convert Data To Class owin |
| as.owin.boxx | 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.funxy | Convert Data To Class owin |
| as.owin.im | Convert Data To Class owin |
| as.owin.influence.ppm | Convert Data To Class owin |
| as.owin.kppm | Convert Data To Class owin |
| as.owin.layered | Convert Data To Class owin |
| as.owin.leverage.ppm | Convert Data To Class owin |
| as.owin.linfun | Methods for Functions on Linear Network |
| as.owin.linnet | Methods for Linear Networks |
| as.owin.lpp | Convert Data To Class owin |
| as.owin.lppm | Convert Data To Class owin |
| as.owin.msr | Convert Data To Class owin |
| as.owin.nnfun | 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.quadratcount | Convert Data To Class owin |
| as.owin.quadrattest | Convert Data To Class owin |
| as.owin.rmhmodel | Convert Data To Class owin |
| as.owin.tess | Convert Data To Class owin |
| as.polygonal | Convert a Window to a Polygonal Window |
| as.ppm | Extract Fitted Point Process Model |
| as.ppm.kppm | Extract Fitted Point Process Model |
| as.ppm.ppm | Extract Fitted Point Process Model |
| as.ppm.profilepl | Extract Fitted Point Process Model |
| 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.influence.ppm | Convert Data To Class ppp |
| as.ppp.lpp | Methods for Point Patterns on a Linear Network |
| as.ppp.matrix | Convert Data To Class ppp |
| as.ppp.ppp | Convert Data To Class ppp |
| as.ppp.psp | 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.linnet | Methods for Linear Networks |
| as.psp.lpp | Methods for Point Patterns on a Linear Network |
| as.psp.matrix | Convert Data To Class psp |
| as.psp.psp | Convert Data To Class psp |
| as.rectangle | Window Frame |
| as.solist | Convert List of Two-Dimensional Spatial Objects |
| 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 |
| bdspots | Breakdown Spots in Microelectronic Materials |
| beachcolourmap | Create Colour Scheme for a Range of Numbers |
| beachcolours | Create Colour Scheme for a Range of Numbers |
| beginner | Print Introduction For Beginners |
| bei | Tropical rain forest trees |
| bei.extra | Tropical rain forest trees |
| berman.test | Berman's Tests for Point Process Model |
| berman.test.lpp | Berman's Tests for Point Process Model |
| berman.test.lppm | Berman's Tests for Point Process Model |
| berman.test.ppm | Berman's Tests for Point Process Model |
| berman.test.ppp | Berman's Tests for Point Process Model |
| bermantest | Outdated Functions |
| bermantest.lpp | Outdated Functions |
| bermantest.lppm | Outdated Functions |
| bermantest.ppm | Outdated Functions |
| bermantest.ppp | Outdated Functions |
| betacells | Beta Ganglion Cells in Cat Retina |
| bilinearform | Compute Quadratic Forms |
| bind.fv | Combine Function Value Tables |
| blur | Apply Gaussian Blur to a Pixel Image |
| border | Border Region of a Window |
| bounding.box.xy | Convex Hull of Points |
| boundingbox | Bounding Box of a Window, Image, or Point Pattern |
| boundingbox.default | Bounding Box of a Window, Image, or Point Pattern |
| boundingbox.im | Bounding Box of a Window, Image, or Point Pattern |
| boundingbox.owin | Bounding Box of a Window, Image, or Point Pattern |
| boundingbox.ppp | Bounding Box of a Window, Image, or Point Pattern |
| box3 | Three-Dimensional Box |
| boxx | Multi-Dimensional Box |
| bramblecanes | Hutchings' Bramble Canes data |
| bronzefilter | Bronze gradient filter data |
| bw.diggle | Cross Validated Bandwidth Selection for Kernel Density |
| bw.frac | Bandwidth Selection Based on Window Geometry |
| bw.ppl | Likelihood Cross Validation Bandwidth Selection for Kernel Density |
| bw.relrisk | Cross Validated Bandwidth Selection for Relative Risk Estimation |
| bw.scott | Scott's Rule for Bandwidth Selection for Kernel Density |
| bw.smoothppp | Cross Validated Bandwidth Selection for Spatial Smoothing |
| bw.stoyan | Stoyan's Rule of Thumb for Bandwidth Selection |
| by.im | Apply Function to Image Broken Down by Factor |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor |
| cauchy.estK | Fit the Neyman-Scott cluster process with Cauchy kernel |
| cauchy.estpcf | Fit the Neyman-Scott cluster process with Cauchy kernel |
| cbind.fv | Combine Function Value Tables |
| cbind.hyperframe | Combine Hyperframes by Rows or by Columns |
| cdf.test | Spatial Distribution Test for Point Pattern or Point Process Model |
| cdf.test.lpp | Spatial Distribution Test for Point Pattern or Point Process Model |
| cdf.test.lppm | Spatial Distribution Test for Point Pattern or Point Process Model |
| cdf.test.mppm | Spatial Distribution Test for Multiple Point Process Model |
| cdf.test.ppm | Spatial Distribution Test for Point Pattern or Point Process Model |
| cdf.test.ppp | Spatial Distribution Test for Point Pattern or Point Process Model |
| cdf.test.slrm | Spatial Distribution Test for Point Pattern or Point Process Model |
| cells | Biological Cells Point Pattern |
| centroid.owin | Centroid of a window |
| chicago | Chicago Street Crime Data |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines |
| chorley | Chorley-Ribble Cancer Data |
| chorley.extra | Chorley-Ribble Cancer Data |
| circdensity | Density Estimation for Circular Data |
| circumradius | Circumradius of a Window |
| circumradius.linnet | Circumradius and Diameter of a Linear Network |
| circumradius.owin | Circumradius of a Window |
| clarkevans | Clark and Evans Aggregation Index |
| clarkevans.test | Clark and Evans Test |
| clear.simplepanel | Run Point-and-Click Interface |
| clickbox | Interactively Define a Rectangle |
| clickdist | Interactively Measure Distance |
| clickjoin | Interactively join vertices on a plot |
| clickpoly | Interactively Define a Polygon |
| clickppp | Interactively Add Points |
| clip.infline | Intersect Infinite Straight Lines with a Window |
| clmfires | Castilla-La Mancha Forest Fires |
| clmfires.extra | Castilla-La Mancha Forest Fires |
| closepaircounts | Close Pairs of Points |
| closepairs | Close Pairs of Points |
| closepairs.pp3 | Close Pairs of Points in 3 Dimensions |
| closepairs.ppp | Close Pairs of Points |
| closing | Morphological Closing |
| closing.owin | Morphological Closing |
| closing.ppp | Morphological Closing |
| closing.psp | Morphological Closing |
| clusterfield | Field of clusters |
| clusterfield.character | Field of clusters |
| clusterfield.function | Field of clusters |
| clusterfield.kppm | Field of clusters |
| clusterfit | Fit Cluster or Cox Point Process Model via Minimum Contrast |
| clusterkernel | Extract Cluster Offspring Kernel |
| clusterkernel.character | Extract Cluster Offspring Kernel |
| clusterkernel.kppm | Extract Cluster Offspring Kernel |
| clusterradius | Compute or Extract Effective Range of Cluster Kernel |
| clusterradius.character | Compute or Extract Effective Range of Cluster Kernel |
| clusterradius.kppm | Compute or Extract Effective Range of Cluster Kernel |
| clusterset | Allard-Fraley Estimator of Cluster Feature |
| coef.fii | Methods for Fitted Interactions |
| coef.kppm | Methods for Cluster Point Process Models |
| coef.lppm | Methods for Fitted Point Process Models on a Linear Network |
| coef.mppm | Coefficients of Point Process Model Fitted to Multiple Point Patterns |
| coef.ppm | Coefficients of Fitted Point Process Model |
| coef.slrm | Coefficients of Fitted Spatial Logistic Regression Model |
| coef.summary.fii | Methods for Fitted Interactions |
| col2hex | Convert and Compare Colours in Different Formats |
| collapse.fv | Collapse Several Function Tables into One |
| colourmap | Colour Lookup Tables |
| colourtools | Convert and Compare Colours in Different Formats |
| commonGrid | Determine A Common Spatial Domain And Pixel Resolution |
| compareFit | Residual Diagnostics for Multiple Fitted Models |
| compatible | Test Whether Objects Are Compatible |
| compatible.fasp | Test Whether Function Arrays Are Compatible |
| compatible.fv | Test Whether Function Objects Are Compatible |
| compatible.im | Test Whether Pixel Images Are Compatible |
| compatible.units | Methods for Units |
| complement.owin | Take Complement of a Window |
| complementarycolour | Convert and Compare Colours in Different Formats |
| Complex.im | S3 Group Generic methods for images |
| Complex.linim | S3 Group Generic Methods for Images on a Linear Network |
| concatxy | Concatenate x,y Coordinate Vectors |
| Concom | The Connected Component Process Model |
| connected | Connected components |
| connected.im | Connected components |
| connected.owin | Connected components |
| connected.ppp | Connected components of a point pattern |
| contour.funxy | Methods for Spatial Functions |
| contour.im | Contour plot of pixel image |
| contour.imlist | Array of Contour Plots |
| contour.listof | Array of Contour Plots |
| contour.objsurf | Methods for Objective Function Surfaces |
| convexhull | Convex Hull |
| convexhull.xy | Convex Hull of Points |
| convolve.im | Convolution of Pixel Images |
| coords | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern |
| coords.ppp | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern |
| coords.ppx | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern |
| coords<- | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern |
| coords<-.ppp | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern |
| coords<-.ppx | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern |
| copper | Berman-Huntington points and lines data |
| corners | Corners of a rectangle |
| countends | Compute Disc of Given Radius in Linear Network |
| crossdist | Pairwise distances |
| crossdist.default | Pairwise distances between two different sets of points |
| crossdist.lpp | Pairwise distances between two point patterns on a linear network |
| crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns |
| crossdist.ppp | Pairwise distances between two different point patterns |
| crossdist.ppx | Pairwise Distances Between Two Different Multi-Dimensional Point Patterns |
| crossdist.psp | Pairwise distances between two different line segment patterns |
| crossing.psp | Crossing Points of Two Line Segment Patterns |
| crosspaircounts | Close Pairs of Points |
| crosspairs | Close Pairs of Points |
| crosspairs.pp3 | Close Pairs of Points in 3 Dimensions |
| crosspairs.ppp | Close Pairs of Points |
| 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 |
| dclf.progress | Progress Plot of Test of Spatial Pattern |
| dclf.test | Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests |
| default.dummy | Generate a Default Pattern of Dummy Points |
| default.expand | Default Expansion Rule for Simulation of Model |
| default.rmhcontrol | Set Default Control Parameters for Metropolis-Hastings Algorithm. |
| delaunay | Delaunay Triangulation of Point Pattern |
| delaunay.distance | Distance on Delaunay Triangulation |
| delaunay.network | Linear Network of Delaunay Triangulation or Dirichlet Tessellation |
| deltametric | Delta Metric |
| demohyper | Demonstration Example of Hyperframe of Spatial Data |
| demopat | Artificial Data Point Pattern |
| dendrite | Dendritic Spines Data |
| 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 |
| deriv.fv | Calculate Derivative of Function Values |
| dfbetas.ppm | Parameter influence measure |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model |
| diameter | Diameter of an Object |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box |
| diameter.boxx | Geometrical Calculations for Multi-Dimensional Box |
| diameter.linnet | Circumradius and Diameter of a Linear Network |
| diameter.owin | Diameter of a Window |
| DiggleGatesStibbard | Diggle-Gates-Stibbard Point Process Model |
| 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.edges | Vertices and Edges of Dirichlet Tessellation |
| dirichlet.network | Linear Network of Delaunay Triangulation or Dirichlet Tessellation |
| dirichlet.vertices | Vertices and Edges of Dirichlet Tessellation |
| 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 |
| discs | Union of Discs |
| distcdf | Distribution Function of Interpoint Distance |
| distfun | Distance Map as a Function |
| distfun.lpp | Distance Map on Linear Network |
| 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 |
| dmixpois | Mixed Poisson Distribution |
| domain | Extract the Domain of any Spatial Object |
| domain.distfun | Extract the Domain of any Spatial Object |
| domain.funxy | Extract the Domain of any Spatial Object |
| domain.im | Extract the Domain of any Spatial Object |
| domain.influence.ppm | Extract the Domain of any Spatial Object |
| domain.kppm | Extract the Domain of any Spatial Object |
| domain.layered | Extract the Domain of any Spatial Object |
| domain.leverage.ppm | Extract the Domain of any Spatial Object |
| domain.lpp | Extract the Domain of any Spatial Object |
| domain.lppm | Extract the Domain of any Spatial Object |
| domain.msr | Extract the Domain of any Spatial Object |
| domain.nnfun | Extract the Domain of any Spatial Object |
| domain.pp3 | Extract the Domain of any Spatial Object |
| domain.ppm | Extract the Domain of any Spatial Object |
| domain.ppp | Extract the Domain of any Spatial Object |
| domain.ppx | Extract the Domain of any Spatial Object |
| domain.psp | Extract the Domain of any Spatial Object |
| domain.quad | Extract the Domain of any Spatial Object |
| domain.quadratcount | Extract the Domain of any Spatial Object |
| domain.quadrattest | Extract the Domain of any Spatial Object |
| domain.rmhmodel | Extract the Domain of any Spatial Object |
| domain.tess | Extract the Domain of any Spatial Object |
| dummify | Convert Data to Numeric Values by Constructing Dummy Variables |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern |
| duplicated.ppx | Determine Duplicated Points in a Spatial Point Pattern |
| edge.Ripley | Ripley's Isotropic Edge Correction |
| edge.Trans | Translation Edge Correction |
| edges | Extract Boundary Edges of a Window. |
| edges2triangles | List Triangles in a Graph |
| edges2vees | List Dihedral Triples in a Graph |
| eem | Exponential Energy Marks |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model |
| ellipse | Elliptical Window. |
| Emark | Diagnostics for random marking |
| endpoints.psp | Endpoints of Line Segment Pattern |
| envelope | Simulation Envelopes of Summary Function |
| envelope.envelope | Recompute Envelopes |
| envelope.kppm | Simulation Envelopes of Summary Function |
| envelope.lpp | Envelope for Point Patterns on Linear Network |
| envelope.lppm | Envelope for Point Patterns on Linear Network |
| 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 |
| eroded.volumes.box3 | Geometrical Calculations for Three-Dimensional Box |
| eroded.volumes.boxx | Geometrical Calculations for Multi-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 |
| eval.linim | Evaluate Expression Involving Pixel Images on Linear Network |
| ewcdf | Weighted Empirical Cumulative Distribution Function |
| exactMPLEstrauss | Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process |
| expand.owin | Apply Expansion Rule |
| extractAIC.lppm | Methods for Fitted Point Process Models on a Linear Network |
| extractAIC.ppm | Log Likelihood and AIC for Point Process Model |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern |
| fardist | Farthest Distance to Boundary of Window |
| fardist.owin | Farthest Distance to Boundary of Window |
| fardist.ppp | Farthest Distance to Boundary of Window |
| fasp.object | Function Arrays for Spatial Patterns |
| Fest | Estimate the Empty Space Function or its Hazard Rate |
| Fhazard | Estimate the Empty Space Function or its Hazard Rate |
| Fiksel | The Fiksel Interaction |
| Finhom | Inhomogeneous Empty Space Function |
| finpines | 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.kppm | Prediction from a Fitted Cluster Point Process Model |
| fitted.mppm | Fitted Conditional Intensity for Multiple Point Process Model |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model |
| fitted.slrm | Fitted Probabilities for Spatial Logistic Regression |
| flipxy | Exchange X and Y Coordinates |
| flipxy.im | Exchange X and Y Coordinates |
| flipxy.layered | Methods for Layered Objects |
| flipxy.owin | Exchange X and Y Coordinates |
| flipxy.ppp | Exchange X and Y Coordinates |
| flipxy.psp | Exchange X and Y Coordinates |
| flu | Influenza Virus Proteins |
| foo | Foo is Not a Variable |
| formula.fv | Extract or Change the Plot Formula for a Function Value Table |
| formula.kppm | Methods for Cluster Point Process Models |
| formula.lppm | Methods for Fitted Point Process Models on a Linear Network |
| formula.ppm | Model Formulae for Gibbs Point Process Models |
| formula.slrm | Methods for Spatial Logistic Regression Models |
| formula<- | Extract or Change the Plot Formula for a Function Value Table |
| formula<-.fv | Extract or Change the Plot Formula for a Function Value Table |
| Frame | Extract or Change the Containing Rectangle of a Spatial Object |
| Frame.default | Extract or Change the Containing Rectangle of a Spatial Object |
| Frame<- | Extract or Change the Containing Rectangle of a Spatial Object |
| Frame<-.im | Extract or Change the Containing Rectangle of a Spatial Object |
| Frame<-.owin | Extract or Change the Containing Rectangle of a Spatial Object |
| Frame<-.ppp | Extract or Change the Containing Rectangle of a Spatial Object |
| fryplot | Fry Plot of Point Pattern |
| frypoints | Fry Plot of Point Pattern |
| funxy | Spatial Function Class |
| fv | Create a Function Value Table |
| fv.object | Function Value Table |
| fvnames | Abbreviations for Groups of Columns in Function Value Table |
| fvnames<- | Abbreviations for Groups of Columns in Function Value Table |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version |
| gauss.hermite | Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution |
| Gcom | Model Compensator of Nearest Neighbour Function |
| 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 |
| Ginhom | Inhomogeneous Nearest Neighbour Function |
| Gmulti | Marked Nearest Neighbour Distance Function |
| gordon | People in Gordon Square |
| gorillas | Gorilla Nesting Sites |
| gorillas.extra | Gorilla Nesting Sites |
| Gres | Residual G Function |
| gridcenters | Rectangular grid of points |
| gridcentres | Rectangular grid of points |
| gridweights | Compute Quadrature Weights Based on Grid Counts |
| grow.rectangle | Add margins to rectangle |
| grow.simplepanel | Simple Point-and-Click Interface Panels |
| Halton | Quasirandom Patterns |
| Hammersley | Quasirandom Patterns |
| hamster | Aherne's hamster tumour data |
| Hardcore | The Hard Core Point Process Model |
| harmonic | Basis for Harmonic Functions |
| harmonise | Make Objects Compatible |
| harmonise.fv | Make Function Tables Compatible |
| harmonise.im | Make Pixel Images Compatible |
| harmonize | Make Objects Compatible |
| harmonize.fv | Make Function Tables Compatible |
| harmonize.im | Make Pixel Images Compatible |
| has.offset | Identify Covariates Involved in each Model Term |
| has.offset.term | Identify Covariates Involved in each Model Term |
| heather | Diggle's Heather Data |
| Hest | Spherical Contact Distribution Function |
| hexgrid | Hexagonal Grid or Tessellation |
| hextess | Hexagonal Grid or Tessellation |
| hierpair.family | Hierarchical Pairwise Interaction Process Family |
| HierStrauss | The Hierarchical Strauss Point Process Model |
| hist.im | Histogram of Pixel Values in an Image |
| hopskel | Hopkins-Skellam Test |
| hopskel.test | Hopkins-Skellam Test |
| hsvim | Create Colour-Valued Pixel Image |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma |
| humberside.convex | Humberside Data on Childhood Leukaemia and Lymphoma |
| Hybrid | Hybrid Interaction Point Process Model |
| hybrid.family | Hybrid Interaction Family |
| hyperframe | Hyper Data Frame |
| hyytiala | Scots pines and other trees at Hyytiala |
| identify.ppp | Identify Points in a Point Pattern |
| identify.psp | Identify Segments in a Line Segment Pattern |
| idw | Inverse-distance weighted smoothing of observations at irregular points |
| Iest | Estimate the I-function |
| im | Create a Pixel Image Object |
| im.apply | Apply Function Pixelwise to List of Images |
| im.object | Class of Images |
| image.im | Plot a Pixel Image |
| image.imlist | Plot a List of Images |
| image.listof | Plot a List of Images |
| image.objsurf | Methods for Objective Function Surfaces |
| imcov | Spatial Covariance of a Pixel Image |
| improve.kppm | Improve Intensity Estimate of Fitted Cluster Point Process Model |
| incircle | Find Largest Circle Inside Window |
| increment.fv | Increments of a Function |
| infline | Infinite Straight Lines |
| influence.ppm | Influence Measure for Spatial Point Process Model |
| inforder.family | Infinite Order Interaction Family |
| inside.owin | Test Whether Points Are Inside A Window |
| integral | Integral of a Pixel Image |
| integral.im | Integral of a Pixel Image |
| integral.linfun | Integral on a Linear Network |
| integral.linim | Integral on a Linear Network |
| integral.msr | Integral of a Measure |
| intensity | Intensity of a Dataset or a Model |
| intensity.lpp | Empirical Intensity of Point Pattern on Linear Network |
| intensity.ppm | Intensity of Fitted Point Process Model |
| intensity.ppp | Empirical Intensity of Point Pattern |
| intensity.quadratcount | Intensity Estimates Using Quadrat Counts |
| intensity.splitppp | Empirical Intensity of Point Pattern |
| interp.colourmap | Interpolate smoothly between specified colours |
| interp.colours | Convert and Compare Colours in Different Formats |
| interp.im | Interpolate a Pixel Image |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows |
| intersect.tess | Intersection of Two Tessellations |
| invoke.symbolmap | Plot Data Using Graphics Symbol Map |
| iplot | Point and Click Interface for Displaying Spatial Data |
| iplot.default | Point and Click Interface for Displaying Spatial Data |
| iplot.layered | Point and Click Interface for Displaying Spatial Data |
| iplot.linnet | Point and Click Interface for Displaying Spatial Data |
| iplot.lpp | Point and Click Interface for Displaying Spatial Data |
| iplot.ppp | Point and Click Interface for Displaying Spatial Data |
| ippm | Fit Point Process Model Involving Irregular Trend Parameters |
| is.convex | Test Whether a Window is Convex |
| is.dppm | Recognise Fitted Determinantal Point Process Models |
| 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.grey | Convert and Compare Colours in Different Formats |
| is.hybrid | Test Whether Object is a Hybrid |
| is.hybrid.interact | Test Whether Object is a Hybrid |
| is.hybrid.ppm | Test Whether Object is a Hybrid |
| is.im | Test Whether An Object Is A Pixel Image |
| is.kppm | Test Whether An Object Is A Fitted Point Process Model |
| is.lpp | Test Whether An Object Is A Point Pattern on a Linear Network |
| is.lppm | Test Whether An Object Is A Fitted Point Process Model |
| is.marked | Test Whether Marks Are Present |
| is.marked.lppm | Test Whether A Point Process Model is Marked |
| is.marked.ppm | Test Whether A Point Process Model is Marked |
| is.marked.ppp | Test Whether A Point Pattern is Marked |
| is.mask | Determine Type of Window |
| is.multitype | Test whether Object is Multitype |
| is.multitype.lpp | Test Whether A Point Pattern is Multitype |
| is.multitype.lppm | Test Whether A Point Process Model 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.poisson | Recognise Stationary and Poisson Point Process Models |
| is.poisson.interact | Recognise Stationary and Poisson Point Process Models |
| is.poisson.kppm | Recognise Stationary and Poisson Point Process Models |
| is.poisson.lppm | Recognise Stationary and Poisson Point Process Models |
| is.poisson.ppm | Recognise Stationary and Poisson Point Process Models |
| is.poisson.rmhmodel | Recognise Stationary and Poisson Point Process Models |
| is.poisson.slrm | Recognise Stationary and Poisson Point Process Models |
| is.polygonal | Determine Type of Window |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model |
| is.ppp | Test Whether An Object Is A Point Pattern |
| is.rectangle | Determine Type of Window |
| is.slrm | Test Whether An Object Is A Fitted Point Process Model |
| is.stationary | Recognise Stationary and Poisson Point Process Models |
| is.stationary.kppm | Recognise Stationary and Poisson Point Process Models |
| is.stationary.lppm | Recognise Stationary and Poisson Point Process Models |
| is.stationary.ppm | Recognise Stationary and Poisson Point Process Models |
| is.stationary.rmhmodel | Recognise Stationary and Poisson Point Process Models |
| is.stationary.slrm | Recognise Stationary and Poisson Point Process Models |
| 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 |
| Jinhom | Inhomogeneous J-function |
| Jmulti | Marked J Function |
| K3est | K-function of a Three-Dimensional Point Pattern |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data |
| Kcom | Model Compensator of K Function |
| 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 |
| Kmark | Mark-Weighted K Function |
| Kmeasure | Reduced Second Moment Measure |
| Kmodel | K Function or Pair Correlation Function of a Point Process Model |
| Kmodel.kppm | K Function or Pair Correlation Function of Cluster Model or Cox model |
| Kmodel.ppm | K Function or Pair Correlation Function of Gibbs Point Process model |
| Kmulti | Marked K-Function |
| Kmulti.inhom | Inhomogeneous Marked K-Function |
| Kovesi | Colour Sequences with Uniform Perceptual Contrast |
| kppm | Fit Cluster or Cox Point Process Model |
| kppm.formula | Fit Cluster or Cox Point Process Model |
| kppm.ppp | Fit Cluster or Cox Point Process Model |
| kppm.quad | Fit Cluster or Cox Point Process Model |
| Kres | Residual K Function |
| Kscaled | Locally Scaled K-function |
| Ksector | Sector K-function |
| kstest | Outdated Functions |
| kstest.lpp | Outdated Functions |
| kstest.lppm | Outdated Functions |
| kstest.ppm | Outdated Functions |
| kstest.ppp | Outdated Functions |
| kstest.slrm | Outdated Functions |
| labels.kppm | Methods for Cluster Point Process Models |
| labels.slrm | Methods for Spatial Logistic Regression Models |
| LambertW | Lambert's W Function |
| lansing | Lansing Woods Point Pattern |
| latest.news | Print News About Latest Version of Package |
| layered | Create List of Plotting Layers |
| layerplotargs | Extract or Replace the Plot Arguments of a Layered Object |
| layerplotargs<- | Extract or Replace the Plot Arguments of a Layered Object |
| layout.boxes | Generate a Row or Column Arrangement of Rectangles. |
| 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 |
| leverage | Leverage Measure for Spatial Point Process Model |
| leverage.ppm | Leverage Measure for Spatial Point Process Model |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast |
| lgcp.estpcf | Fit a Log-Gaussian Cox Point Process by Minimum Contrast |
| lineardisc | Compute Disc of Given Radius in Linear Network |
| linearK | Linear K Function |
| linearKcross | Multitype K Function (Cross-type) for Linear Point Pattern |
| linearKcross.inhom | Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern |
| linearKdot | Multitype K Function (Dot-type) for Linear Point Pattern |
| linearKdot.inhom | Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern |
| linearKinhom | Inhomogeneous Linear K Function |
| linearmarkconnect | Mark Connection Function for Multitype Point Pattern on Linear Network |
| linearmarkequal | Mark Connection Function for Multitype Point Pattern on Linear Network |
| linearpcf | Linear Pair Correlation Function |
| linearpcfcross | Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern |
| linearpcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern |
| linearpcfdot | Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern |
| linearpcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern |
| linearpcfinhom | Inhomogeneous Linear Pair Correlation Function |
| linfun | Function on a Linear Network |
| Linhom | L-function |
| linim | Create Pixel Image on Linear Network |
| linnet | Create a Linear Network |
| localK | Neighbourhood density function |
| localKinhom | Inhomogeneous Neighbourhood Density Function |
| localL | Neighbourhood density function |
| localLinhom | Inhomogeneous Neighbourhood Density Function |
| localpcf | Local pair correlation function |
| localpcfinhom | Local pair correlation function |
| logLik.lppm | Methods for Fitted Point Process Models on a Linear Network |
| logLik.mppm | Log Likelihood for Poisson Point Process Model |
| logLik.ppm | Log Likelihood and AIC for Point Process Model |
| logLik.slrm | Loglikelihood of Spatial Logistic Regression |
| lohboot | Bootstrap Confidence Bands for Summary Function |
| longleaf | Longleaf Pines Point Pattern |
| lpp | Create Point Pattern on Linear Network |
| lppm | Fit Point Process Model to Point Pattern on Linear Network |
| lppm.formula | Fit Point Process Model to Point Pattern on Linear Network |
| lppm.lpp | Fit Point Process Model to Point Pattern on Linear Network |
| Lscaled | Locally Scaled K-function |
| lurking | Lurking variable plot |
| lut | Lookup Tables |
| mad.progress | Progress Plot of Test of Spatial Pattern |
| mad.test | Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests |
| markconnect | Mark Connection Function |
| markcorr | Mark Correlation Function |
| markcorrint | Mark-Weighted K Function |
| 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.psp | Marks of a Line Segment Pattern |
| marks.tess | Marks of a Tessellation |
| marks<- | Marks of a Point Pattern |
| marks<-.lpp | Methods for Point Patterns on a Linear Network |
| marks<-.ppp | Marks of a Point Pattern |
| marks<-.ppx | Marks of a Point Pattern |
| marks<-.psp | Marks of a Line Segment Pattern |
| marks<-.tess | Marks of a Tessellation |
| 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 |
| matclust.estpcf | Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation |
| Math.im | S3 Group Generic methods for images |
| Math.linim | S3 Group Generic Methods for Images on a Linear Network |
| max.fv | Range of Function Values |
| max.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image |
| maxnndist | Compute Minimum or Maximum Nearest-Neighbour Distance |
| mctest.progress | Progress Plot of Test of Spatial Pattern |
| mean.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image |
| median.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image |
| methods.box3 | Methods for Three-Dimensional Box |
| methods.boxx | Methods for Multi-Dimensional Box |
| methods.fii | Methods for Fitted Interactions |
| methods.funxy | Methods for Spatial Functions |
| methods.kppm | Methods for Cluster Point Process Models |
| methods.layered | Methods for Layered Objects |
| methods.linfun | Methods for Functions on Linear Network |
| methods.linnet | Methods for Linear Networks |
| methods.lpp | Methods for Point Patterns on a Linear Network |
| methods.lppm | Methods for Fitted Point Process Models on a Linear Network |
| methods.objsurf | Methods for Objective Function Surfaces |
| methods.pp3 | Methods for three-dimensional point patterns |
| methods.ppm | Class of Fitted Point Process Models |
| methods.ppx | Methods for Multidimensional Space-Time Point Patterns |
| methods.rho2hat | Methods for Intensity Functions of Two Spatial Covariates |
| methods.rhohat | Methods for Intensity Functions of Spatial Covariate |
| methods.slrm | Methods for Spatial Logistic Regression Models |
| methods.units | Methods for Units |
| midpoints.psp | Midpoints of Line Segment Pattern |
| min.fv | Range of Function Values |
| min.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image |
| mincontrast | Method of Minimum Contrast |
| minnndist | Compute Minimum or Maximum Nearest-Neighbour Distance |
| miplot | Morisita Index Plot |
| model.covariates | Identify Covariates Involved in each Model Term |
| model.depends | Identify Covariates Involved in each Model Term |
| model.frame.kppm | Extract the Variables in a Point Process Model |
| model.frame.lppm | Extract the Variables in a Point Process Model |
| model.frame.ppm | Extract the Variables in a Point Process Model |
| model.images | Compute Images of Constructed Covariates |
| model.images.kppm | Compute Images of Constructed Covariates |
| model.images.lppm | Compute Images of Constructed Covariates |
| model.images.ppm | Compute Images of Constructed Covariates |
| model.images.slrm | Compute Images of Constructed Covariates |
| model.is.additive | Identify Covariates Involved in each Model Term |
| model.matrix.kppm | Extract Design Matrix from Point Process Model |
| model.matrix.lppm | Extract Design Matrix from Point Process Model |
| model.matrix.ppm | Extract Design Matrix from Point Process Model |
| model.matrix.slrm | Extract Design Matrix from Spatial Logistic Regression Model |
| mppm | Fit Point Process Model to Several Point Patterns |
| msr | Signed or Vector-Valued Measure |
| mucosa | Cells in Gastric Mucosa |
| mucosa.subwin | Cells in Gastric Mucosa |
| MultiHard | The Multitype Hard Core Point Process Model |
| multiplicity | Count Multiplicity of Duplicate Points |
| multiplicity.data.frame | Count Multiplicity of Duplicate Points |
| multiplicity.default | Count Multiplicity of Duplicate Points |
| multiplicity.ppp | Count Multiplicity of Duplicate Points |
| multiplicity.ppx | 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 |
| nbfires | Point Patterns of New Brunswick Forest Fires |
| nbfires.extra | 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 |
| nestsplit | Nested Split |
| 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 |
| nncross.default | Nearest Neighbours Between Two Patterns |
| nncross.lpp | Nearest Neighbours on a Linear Network |
| nncross.pp3 | Nearest Neighbours Between Two Patterns in 3D |
| nncross.ppp | Nearest Neighbours Between Two Patterns |
| nndensity | Estimate Intensity of Point Pattern Using Nearest Neighbour Distances |
| nndensity.ppp | Estimate Intensity of Point Pattern Using Nearest Neighbour Distances |
| nndist | Nearest neighbour distances |
| nndist.default | Nearest neighbour distances |
| nndist.lpp | Nearest neighbour distances on a linear network |
| nndist.pp3 | Nearest neighbour distances in three dimensions |
| nndist.ppp | Nearest neighbour distances |
| nndist.ppx | Nearest Neighbour Distances in Any Dimensions |
| nndist.psp | Nearest neighbour distances between line segments |
| nnfun | Nearest Neighbour Index Map as a Function |
| nnfun.lpp | Nearest Neighbour Map on Linear Network |
| nnfun.ppp | Nearest Neighbour Index Map as a Function |
| nnfun.psp | Nearest Neighbour Index Map as a Function |
| nnmap | K-th Nearest Point Map |
| nnmark | Mark of Nearest Neighbour |
| nnmean | Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| nnorient | Nearest Neighbour Orientation Distribution |
| nnvario | Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| nnwhich | Nearest neighbour |
| nnwhich.default | Nearest neighbour |
| nnwhich.lpp | Identify Nearest Neighbours on a Linear Network |
| nnwhich.pp3 | Nearest neighbours in three dimensions |
| nnwhich.ppp | Nearest neighbour |
| nnwhich.ppx | Nearest Neighbours in Any Dimensions |
| nobs.lppm | Methods for Fitted Point Process Models on a Linear Network |
| nobs.ppm | Log Likelihood and AIC for Point Process Model |
| npfun | Dummy Function Returns Number of Points |
| 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 |
| nsegments | Number of Line Segments in a Line Segment Pattern |
| nsegments.psp | Number of Line Segments in a Line Segment Pattern |
| nztrees | New Zealand Trees Point Pattern |
| objsurf | Objective Function Surface |
| objsurf.kppm | Objective Function Surface |
| objsurf.minconfit | Objective Function Surface |
| onearrow | Text, Arrow or Scale Bar in a Diagram |
| opening | Morphological Opening |
| opening.owin | Morphological Opening |
| opening.ppp | Morphological Opening |
| opening.psp | Morphological Opening |
| Ops.im | S3 Group Generic methods for images |
| Ops.linim | S3 Group Generic Methods for Images on a Linear Network |
| Ord | Generic Ord Interaction model |
| ord.family | Ord Interaction Process Family |
| OrdThresh | Ord's Interaction model |
| osteo | Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns |
| overlap.owin | Compute Area of Overlap |
| owin | Create a Window |
| owin.object | Class owin |
| padimage | Pad the Border of a Pixel Image |
| pairdist | Pairwise distances |
| pairdist.default | Pairwise distances |
| pairdist.lpp | Pairwise shortest-path distances between points on a linear network |
| pairdist.pp3 | Pairwise distances in Three Dimensions |
| pairdist.ppp | Pairwise distances |
| pairdist.ppx | Pairwise Distances in Any Dimensions |
| pairdist.psp | Pairwise distances between line segments |
| pairorient | Point Pair Orientation Distribution |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model |
| pairs.im | Scatterplot Matrix for Pixel Images |
| pairsat.family | Saturated Pairwise Interaction Point Process Family |
| Pairwise | Generic Pairwise Interaction model |
| pairwise.family | Pairwise Interaction Process Family |
| paletteindex | Convert and Compare Colours in Different Formats |
| panel.contour | Panel Plots using Colour Image or Contour Lines |
| panel.histogram | Panel Plots using Colour Image or Contour Lines |
| panel.image | Panel Plots using Colour Image or Contour Lines |
| paracou | Kimboto trees at Paracou, French Guiana |
| parres | Partial Residuals for Point Process Model |
| 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 |
| pcf3est | Pair Correlation Function of a Three-Dimensional 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 |
| pcfmodel | K Function or Pair Correlation Function of a Point Process Model |
| pcfmodel.kppm | K Function or Pair Correlation Function of Cluster Model or Cox model |
| pcfmodel.ppm | K Function or Pair Correlation Function of Gibbs Point Process model |
| pcfmulti | Marked 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.funxy | Methods for Spatial Functions |
| persp.im | Perspective Plot of Pixel Image |
| persp.objsurf | Methods for Objective Function Surfaces |
| perspContour | Draw Points or Lines on a Surface Viewed in Perspective |
| perspLines | Draw Points or Lines on a Surface Viewed in Perspective |
| perspPoints | Draw Points or Lines on a Surface Viewed in Perspective |
| perspSegments | Draw Points or Lines on a Surface Viewed in Perspective |
| pixelcentres | Extract Pixel Centres as Point Pattern |
| pixellate | Convert Spatial Object to Pixel Image |
| pixellate.linnet | Methods for Linear Networks |
| 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.anylist | Plot a List of Things |
| plot.bermantest | Plot Result of Berman Test |
| plot.cdftest | Plot a Spatial Distribution Test |
| plot.colourmap | Plot a Colour Map |
| plot.diagppm | Diagnostic Plots for Fitted Point Process Model |
| plot.envelope | Plot a Simulation Envelope |
| plot.fasp | Plot a Function Array |
| plot.fii | Methods for Fitted Interactions |
| plot.funxy | Methods for Spatial Functions |
| plot.fv | Plot Function Values |
| plot.hyperframe | Plot Entries in a Hyperframe |
| plot.im | Plot a Pixel Image |
| plot.imlist | Plot a List of Images |
| plot.infline | Infinite Straight Lines |
| plot.influence.ppm | Plot Influence Measure |
| plot.kppm | Plot a fitted cluster point process |
| plot.kstest | Outdated Functions |
| plot.layered | Layered Plot |
| plot.leverage.ppm | Plot Leverage Function |
| plot.linfun | Methods for Functions on Linear Network |
| plot.linim | Plot Pixel Image on Linear Network |
| plot.linnet | Plot a linear network |
| plot.listof | Plot a List of Things |
| plot.lpp | Plot Point Pattern on Linear Network |
| plot.lppm | Plot a Fitted Point Process Model on a Linear Network |
| plot.mppm | plot a Fitted Multiple Point Process Model |
| plot.msr | Plot a Signed or Vector-Valued Measure |
| plot.objsurf | Methods for Objective Function Surfaces |
| plot.onearrow | Plot an Arrow |
| 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.quadratcount | Plot Quadrat Counts |
| plot.quadrattest | Display the result of a quadrat counting test. |
| plot.rho2hat | Methods for Intensity Functions of Two Spatial Covariates |
| plot.rhohat | Methods for Intensity Functions of Spatial Covariate |
| plot.scan.test | Plot Result of Scan Test |
| plot.slrm | Plot a Fitted Spatial Logistic Regression |
| plot.solist | Plot a List of Spatial Objects |
| plot.splitppp | Plot a List of Point Patterns |
| plot.symbolmap | Plot a Graphics Symbol Map |
| plot.tess | Plot a tessellation |
| plot.textstring | Plot a Text String |
| plot.texturemap | Plot a Texture Map |
| plot.yardstick | Plot a Yardstick or Scale Bar |
| pmixpois | Mixed Poisson Distribution |
| 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 |
| pool | Pool Data |
| pool.anylist | Pool Data from a List of Objects |
| pool.envelope | Pool Data from Several Envelopes |
| pool.fasp | Pool Data from Several Function Arrays |
| pool.fv | Pool Several Functions |
| pool.quadrattest | Pool Several Quadrat Tests |
| pool.rat | Pool Data from Several Ratio Objects |
| pp3 | Three Dimensional Point Pattern |
| ppm | Fit Point Process Model to Data |
| ppm.formula | Fit Point Process Model to Data |
| ppm.object | Class of Fitted Point Process Models |
| ppm.ppp | Fit Point Process Model to Point Pattern Data |
| ppm.quad | Fit Point Process Model to Point Pattern Data |
| 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.lppm | Predict Point Process Model on Linear Network |
| predict.mppm | Prediction for Fitted Multiple Point Process Model |
| predict.ppm | Prediction from a Fitted Point Process Model |
| predict.rhohat | Methods for Intensity Functions of Spatial Covariate |
| predict.slrm | Predicted or Fitted Values from Spatial Logistic Regression |
| print.box3 | Methods for Three-Dimensional Box |
| print.boxx | Methods for Multi-Dimensional Box |
| print.fii | Methods for Fitted Interactions |
| print.im | Print Brief Details of an Image |
| print.infline | Infinite Straight Lines |
| print.kppm | Methods for Cluster Point Process Models |
| print.linfun | Methods for Functions on Linear Network |
| print.linnet | Methods for Linear Networks |
| print.lpp | Methods for Point Patterns on a Linear Network |
| print.lppm | Methods for Fitted Point Process Models on a Linear Network |
| print.objsurf | Methods for Objective Function Surfaces |
| 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.rho2hat | Methods for Intensity Functions of Two Spatial Covariates |
| print.rhohat | Methods for Intensity Functions of Spatial Covariate |
| print.slrm | Methods for Spatial Logistic Regression Models |
| print.summary.fii | Methods for Fitted Interactions |
| print.summary.im | Summarizing a Pixel Image |
| print.summary.lpp | Methods for Point Patterns on a Linear Network |
| 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 |
| print.units | Methods for Units |
| profilepl | Profile Maximum Pseudolikelihood or AIC |
| progressreport | Print Progress Reports |
| project.ppm | Force Point Process Model to be Valid |
| project2segment | Move Point To Nearest Line |
| project2set | Find Nearest Point in a Region |
| psp | Create a Line Segment Pattern |
| psp.object | Class of Line Segment Patterns |
| psst | Pseudoscore Diagnostic For Fitted Model against General Alternative |
| psstA | Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative |
| psstG | Pseudoscore Diagnostic For Fitted Model against Saturation Alternative |
| pyramidal | Pyramidal Neurons in Cingulate Cortex |
| qknn | Theoretical Distribution of Nearest Neighbour Distance |
| qmixpois | Mixed Poisson Distribution |
| 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 |
| quadform | Compute Quadratic Forms |
| quadrat.test | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.mppm | Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts |
| quadrat.test.ppm | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.ppp | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.quadratcount | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.splitppp | Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts |
| 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 |
| quadscheme.logi | Generate a Logistic Regression Quadrature Scheme from a Point Pattern |
| quantess | Quantile Tessellation |
| quantess.im | Quantile Tessellation |
| quantess.owin | Quantile Tessellation |
| quantess.ppp | Quantile Tessellation |
| quantile.ewcdf | Quantiles of Weighted Empirical Cumulative Distribution Function |
| quantile.im | Sample Quantiles of Pixel Image |
| quasirandom | Quasirandom Patterns |
| range.fv | Range of Function Values |
| range.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image |
| raster.x | Cartesian Coordinates for a Pixel Raster |
| raster.xy | Cartesian Coordinates for a Pixel Raster |
| raster.y | Cartesian Coordinates for a Pixel Raster |
| rat | Ratio object |
| rbind.hyperframe | Combine Hyperframes by Rows or by Columns |
| rCauchy | Simulate Neyman-Scott Point Process with Cauchy cluster kernel |
| rcell | Simulate Baddeley-Silverman Cell Process |
| rcellnumber | Generate Random Numbers of Points for Cell Process |
| rDGS | Perfect Simulation of the Diggle-Gates-Stibbard Process |
| rDiggleGratton | Perfect Simulation of the Diggle-Gratton Process |
| reach | Interaction Distance of a Point Process |
| reach.fii | 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 |
| redraw.simplepanel | Run Point-and-Click Interface |
| 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) |
| reflect | Reflect In Origin |
| reflect.default | Reflect In Origin |
| reflect.im | Reflect In Origin |
| reflect.layered | Methods for Layered Objects |
| reflect.tess | Apply Geometrical Transformation To Tessellation |
| reload.or.compute | Compute Unless Previously Saved |
| relrisk | Estimate of Spatially-Varying Relative Risk |
| relrisk.ppm | Parametric Estimate of Spatially-Varying Relative Risk |
| relrisk.ppp | Nonparametric Estimate of Spatially-Varying Relative Risk |
| rescale | Convert dataset to another unit of length |
| rescale.im | Convert Pixel Image to Another Unit of Length |
| rescale.layered | Methods for Layered Objects |
| rescale.linnet | Apply Geometrical Transformations to a Linear Network |
| rescale.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| 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 |
| rescale.units | Methods for Units |
| rescue.rectangle | Convert Window Back To Rectangle |
| reset.spatstat.options | Internal Options in Spatstat Package |
| residuals.mppm | Residuals for Point Process Model Fitted to Multiple Point Patterns |
| residuals.ppm | Residuals for Fitted Point Process Model |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals |
| rGaussPoisson | Simulate Gauss-Poisson Process |
| rgb2hex | Convert and Compare Colours in Different Formats |
| rgbim | Create Colour-Valued Pixel Image |
| rHardcore | Perfect Simulation of the Hardcore Process |
| rho2hat | Smoothed Relative Density of Pairs of Covariate Values |
| rhohat | Smoothing Estimate of Covariate Transformation |
| rhohat.lpp | Smoothing Estimate of Covariate Transformation |
| rhohat.lppm | Smoothing Estimate of Covariate Transformation |
| rhohat.ppm | Smoothing Estimate of Covariate Transformation |
| rhohat.ppp | Smoothing Estimate of Covariate Transformation |
| rhohat.quad | Smoothing Estimate of Covariate Transformation |
| 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 |
| rLGCP | Simulate Log-Gaussian Cox Process |
| rlinegrid | Generate grid of parallel lines with random displacement |
| rMatClust | Simulate Matern Cluster Process |
| rMaternI | Simulate Matern Model I |
| rMaternII | Simulate Matern Model II |
| rmax.Ripley | Ripley's Isotropic Edge Correction |
| rmax.Trans | Translation Edge Correction |
| 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. |
| rmhexpand | Specify Simulation Window or Expansion Rule |
| 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. |
| rmixpois | Mixed Poisson Distribution |
| 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 |
| rose | Rose Diagram |
| rose.default | Rose Diagram |
| rose.density | Rose Diagram |
| rose.fv | Rose Diagram |
| rose.histogram | Rose Diagram |
| rotate | Rotate |
| rotate.im | Rotate a Pixel Image |
| rotate.layered | Methods for Layered Objects |
| rotate.linnet | Apply Geometrical Transformations to a Linear Network |
| rotate.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| rotate.owin | Rotate a Window |
| rotate.ppp | Rotate a Point Pattern |
| rotate.psp | Rotate a Line Segment Pattern |
| rotate.tess | Apply Geometrical Transformation To Tessellation |
| rotmean | Rotational Average of a Pixel Image |
| round.pp3 | Apply Numerical Rounding to Spatial Coordinates |
| round.ppp | Apply Numerical Rounding to Spatial Coordinates |
| round.ppx | Apply Numerical Rounding to Spatial Coordinates |
| rounding | Detect Numerical Rounding |
| rounding.default | Detect Numerical Rounding |
| rounding.pp3 | Detect Numerical Rounding |
| rounding.ppp | Detect Numerical Rounding |
| rounding.ppx | Detect Numerical Rounding |
| rpoint | Generate N Random Points |
| rpoisline | Generate Poisson Random Line Process |
| rpoislinetess | Poisson Line Tessellation |
| rpoislpp | Poisson Point Process on a Linear Network |
| rpoispp | Generate Poisson Point Pattern |
| rpoispp3 | Generate Poisson Point Pattern in Three Dimensions |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments |
| rpoisppx | Generate Poisson Point Pattern in Any Dimensions |
| rPoissonCluster | Simulate Poisson Cluster Process |
| rQuasi | Generate Quasirandom Point Pattern in Given Window |
| 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 |
| rStraussHard | Perfect Simulation of the Strauss-Hardcore Process |
| rsyst | Simulate systematic random point pattern |
| rthin | Random Thinning |
| rThomas | Simulate Thomas Process |
| run.simplepanel | Run Point-and-Click Interface |
| runifdisc | Generate N Uniform Random Points in a Disc |
| runiflpp | Uniform Random Points on a Linear Network |
| runifpoint | Generate N Uniform Random Points |
| runifpoint3 | Generate N Uniform Random Points in Three Dimensions |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments |
| runifpointx | Generate N Uniform Random Points in Any Dimensions |
| rVarGamma | Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel |
| samecolour | Convert and Compare Colours in Different Formats |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model |
| Saturated | Saturated Pairwise Interaction model |
| scalardilate | Apply Scalar Dilation |
| scalardilate.default | Apply Scalar Dilation |
| scalardilate.im | Apply Scalar Dilation |
| scalardilate.layered | Methods for Layered Objects |
| scalardilate.linnet | Apply Geometrical Transformations to a Linear Network |
| scalardilate.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| scalardilate.owin | Apply Scalar Dilation |
| scalardilate.ppp | Apply Scalar Dilation |
| scalardilate.psp | Apply Scalar Dilation |
| scalardilate.tess | Apply Geometrical Transformation To Tessellation |
| scaletointerval | Rescale Data to Lie Between Specified Limits |
| scaletointerval.default | Rescale Data to Lie Between Specified Limits |
| scaletointerval.im | Rescale Data to Lie Between Specified Limits |
| scan.test | Spatial Scan Test |
| scanLRTS | Likelihood Ratio Test Statistic for Scan Test |
| scanpp | Read Point Pattern From Data File |
| segregation.test | Test of Spatial Segregation of Types |
| segregation.test.ppp | Test of Spatial Segregation of Types |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern |
| selfcut.psp | Cut Line Segments Where They Intersect |
| sessionLibs | Print Names and Version Numbers of Libraries Loaded |
| 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 |
| sharpen | Data Sharpening of Point Pattern |
| sharpen.ppp | Data Sharpening of Point Pattern |
| shift | Apply Vector Translation |
| shift.im | Apply Vector Translation To Pixel Image |
| shift.layered | Methods for Layered Objects |
| shift.linnet | Apply Geometrical Transformations to a Linear Network |
| shift.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network |
| shift.owin | Apply Vector Translation To Window |
| shift.ppp | Apply Vector Translation To Point Pattern |
| shift.psp | Apply Vector Translation To Line Segment Pattern |
| shift.tess | Apply Geometrical Transformation To Tessellation |
| shortside | Geometrical Calculations for Three-Dimensional Box |
| shortside.box3 | Geometrical Calculations for Three-Dimensional Box |
| shortside.boxx | Geometrical Calculations for Multi-Dimensional Box |
| shortside.owin | Side Lengths of Enclosing Rectangle of a Window |
| sidelengths | Geometrical Calculations for Three-Dimensional Box |
| sidelengths.box3 | Geometrical Calculations for Three-Dimensional Box |
| sidelengths.boxx | Geometrical Calculations for Multi-Dimensional Box |
| sidelengths.owin | Side Lengths of Enclosing Rectangle of a Window |
| simba | Simulated data from a two-group experiment with replication within each group. |
| simdat | Simulated Point Pattern |
| simplenet | Simple Example of Linear Network |
| simplepanel | Simple Point-and-Click Interface Panels |
| simplify.owin | Approximate a Polygon by a Simpler Polygon |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model |
| simulate.lppm | Simulate a Fitted Point Process Model on a Linear Network |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model |
| simulate.slrm | Simulate a Fitted Spatial Logistic Regression Model |
| slrm | Spatial Logistic Regression |
| Smooth | Spatial smoothing of data |
| Smooth.fv | Apply Smoothing to Function Values |
| Smooth.im | Apply Gaussian Blur to a Pixel Image |
| Smooth.msr | Smooth a Signed or Vector-Valued Measure |
| Smooth.ppp | Spatial smoothing of observations at irregular points |
| Smoothfun | Smooth Interpolation of Marks as a Spatial Function |
| Smoothfun.ppp | Smooth Interpolation of Marks as a Spatial Function |
| Softcore | The Soft Core Point Process Model |
| solapply | Apply a Function Over a List and Obtain a List of Objects |
| solist | List of Two-Dimensional Spatial Objects |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True |
| spatialcdf | Spatial Cumulative Distribution Function |
| spatstat | The Spatstat Package |
| spatstat.options | Internal Options in Spatstat Package |
| spiders | Spider Webs on Mortar Lines of a Brick Wall |
| split.hyperframe | Divide Hyperframe Into Subsets and Reassemble |
| split.im | Divide Image Into Sub-images |
| split.ppp | Divide Point Pattern into Sub-patterns |
| split.ppx | Divide Multidimensional Point Pattern into Sub-patterns |
| split<-.hyperframe | Divide Hyperframe Into Subsets and Reassemble |
| split<-.ppp | Divide Point Pattern into Sub-patterns |
| spokes | Spokes pattern of dummy points |
| sporophores | Sporophores Data |
| spruces | Spruces Point Pattern |
| square | Square Window |
| stieltjes | Compute Integral of Function Against Cumulative Distribution |
| stienen | Stienen Diagram |
| stienenSet | Stienen Diagram |
| stratrand | Stratified random point pattern |
| Strauss | The Strauss Point Process Model |
| StraussHard | The Strauss / Hard Core Point Process Model |
| subfits | Extract List of Individual Point Process Models |
| subfits.new | Extract List of Individual Point Process Models |
| subfits.old | Extract List of Individual Point Process Models |
| subset.hyperframe | Subset of Hyperframe Satisfying A Condition |
| subset.lpp | Subset of Point Pattern Satisfying A Condition |
| subset.pp3 | Subset of Point Pattern Satisfying A Condition |
| subset.ppp | Subset of Point Pattern Satisfying A Condition |
| subset.ppx | Subset of Point Pattern Satisfying A Condition |
| suffstat | Sufficient Statistic of Point Process Model |
| sum.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image |
| summary.anylist | Summary of a List of Things |
| summary.fii | Methods for Fitted Interactions |
| Summary.im | S3 Group Generic methods for images |
| summary.im | Summarizing a Pixel Image |
| Summary.linim | S3 Group Generic Methods for Images on a Linear Network |
| summary.linnet | Methods for Linear Networks |
| summary.listof | Summary of a List of Things |
| summary.lpp | Methods for Point Patterns on a Linear Network |
| summary.lppm | Methods for Fitted Point Process Models on a Linear Network |
| 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.solist | Summary of a List of Spatial Objects |
| summary.splitppp | Summary of a Split Point Pattern |
| summary.units | Methods for Units |
| sumouter | Compute Quadratic Forms |
| superimpose | Superimpose Several Geometric Patterns |
| superimpose.default | Superimpose Several Geometric Patterns |
| superimpose.lpp | Superimpose Several Point Patterns on Linear Network |
| superimpose.ppp | Superimpose Several Geometric Patterns |
| superimpose.psp | Superimpose Several Geometric Patterns |
| swedishpines | Swedish Pines Point Pattern |
| symbolmap | Graphics Symbol Map |
| terms.kppm | Methods for Cluster Point Process Models |
| terms.lppm | Methods for Fitted Point Process Models on a Linear Network |
| terms.ppm | Model Formulae for Gibbs Point Process Models |
| terms.slrm | Methods for Spatial Logistic Regression Models |
| tess | Create a Tessellation |
| textstring | Text, Arrow or Scale Bar in a Diagram |
| texturemap | Texture Map |
| textureplot | Plot Image Using Texture Fill |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast |
| thomas.estpcf | Fit the Thomas Point Process by Minimum Contrast |
| tile.areas | Compute Areas of Tiles in a Tessellation |
| tilenames | Names of Tiles in a Tessellation |
| tilenames<- | Names of Tiles in a Tessellation |
| tiles | Extract List of Tiles in a Tessellation |
| timed | Record the Computation Time |
| to.grey | Convert and Compare Colours in Different Formats |
| transect.im | Pixel Values Along a Transect |
| trim.rectangle | Cut margins from rectangle |
| triplet.family | Triplet Interaction Family |
| Triplets | The Triplet Point Process Model |
| Tstat | Third order summary statistic |
| tweak.colourmap | Change Colour Values in a Colour Map |
| 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 |
| unique.ppx | 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.boxx | Methods for Multi-Dimensional Box |
| unitname.im | Name for Unit of Length |
| unitname.kppm | Name for Unit of Length |
| unitname.linnet | Methods for Linear Networks |
| unitname.lpp | Methods for Point Patterns on a Linear Network |
| unitname.minconfit | Name for Unit of Length |
| unitname.owin | Name for Unit of Length |
| unitname.pp3 | Methods for three-dimensional point patterns |
| unitname.ppm | Name for Unit of Length |
| unitname.ppp | Name for Unit of Length |
| unitname.ppx | Methods for Multidimensional Space-Time Point Patterns |
| unitname.psp | Name for Unit of Length |
| unitname.quad | Name for Unit of Length |
| unitname.slrm | Name for Unit of Length |
| unitname<- | Name for Unit of Length |
| unitname<-.box3 | Methods for Three-Dimensional Box |
| unitname<-.boxx | Methods for Multi-Dimensional Box |
| unitname<-.im | Name for Unit of Length |
| unitname<-.kppm | Name for Unit of Length |
| unitname<-.linnet | Methods for Linear Networks |
| unitname<-.lpp | Methods for Point Patterns on a Linear Network |
| unitname<-.minconfit | Name for Unit of Length |
| unitname<-.owin | Name for Unit of Length |
| unitname<-.pp3 | Methods for three-dimensional point patterns |
| unitname<-.ppm | Name for Unit of Length |
| unitname<-.ppp | Name for Unit of Length |
| unitname<-.ppx | Methods for Multidimensional Space-Time Point Patterns |
| unitname<-.psp | Name for Unit of Length |
| unitname<-.quad | Name for Unit of Length |
| unitname<-.slrm | Name for Unit of Length |
| unmark | Remove Marks |
| unmark.lpp | Methods for Point Patterns on a Linear Network |
| unmark.ppp | Remove Marks |
| unmark.ppx | Remove Marks |
| unmark.psp | Remove Marks |
| unmark.splitppp | Remove Marks |
| unmark.tess | Marks of a Tessellation |
| unnormdensity | Weighted kernel smoother |
| update.kppm | Update a Fitted Cluster Point Process Model |
| update.lppm | Methods for Fitted Point Process Models on a Linear Network |
| update.ppm | Update a Fitted Point Process Model |
| update.rmhcontrol | Update Control Parameters of Metropolis-Hastings Algorithm |
| update.slrm | Methods for Spatial Logistic Regression Models |
| update.symbolmap | Update a Graphics Symbol Map. |
| urkiola | Urkiola Woods Point Pattern |
| valid.ppm | Check Whether Point Process Model is Valid |
| varblock | Estimate Variance of Summary Statistic by Subdivision |
| vargamma.estK | Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel |
| vargamma.estpcf | Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel |
| vcov.kppm | Variance-Covariance Matrix for a Fitted Cluster Point Process Model |
| vcov.lppm | Methods for Fitted Point Process Models on a Linear Network |
| vcov.mppm | Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model |
| vcov.slrm | Variance-Covariance Matrix for a Fitted Spatial Logistic Regression |
| vdCorput | Quasirandom Patterns |
| vertexdegree | Methods for Linear Networks |
| vertices | Vertices of a Window |
| vertices.linnet | Methods for Linear Networks |
| vertices.owin | Vertices of a Window |
| vesicles | Vesicles Data |
| vesicles.extra | Vesicles Data |
| Vmark | Diagnostics for random marking |
| volume | Volume of an Object |
| volume.box3 | Geometrical Calculations for Three-Dimensional Box |
| volume.boxx | Geometrical Calculations for Multi-Dimensional Box |
| volume.linnet | Methods for Linear Networks |
| volume.owin | Area of a Window |
| waka | Trees in Waka national park |
| waterstriders | Waterstriders data. Three independent replications of a point pattern formed by insects. |
| whist | Weighted Histogram |
| will.expand | Test Expansion Rule |
| Window | Extract or Change the Window of a Spatial Object |
| Window.distfun | Extract Window of Spatial Object |
| Window.funxy | Extract Window of Spatial Object |
| Window.im | Extract or Change the Window of a Spatial Object |
| Window.influence.ppm | Extract Window of Spatial Object |
| Window.kppm | Extract Window of Spatial Object |
| Window.layered | Extract Window of Spatial Object |
| Window.leverage.ppm | Extract Window of Spatial Object |
| Window.linnet | Methods for Linear Networks |
| Window.lpp | Extract Window of Spatial Object |
| Window.lppm | Extract Window of Spatial Object |
| Window.msr | Extract Window of Spatial Object |
| Window.nnfun | Extract Window of Spatial Object |
| Window.ppm | Extract Window of Spatial Object |
| Window.ppp | Extract or Change the Window of a Spatial Object |
| Window.psp | Extract or Change the Window of a Spatial Object |
| Window.quad | Extract Window of Spatial Object |
| Window.quadratcount | Extract Window of Spatial Object |
| Window.quadrattest | Extract Window of Spatial Object |
| Window.rmhmodel | Extract Window of Spatial Object |
| Window.tess | Extract Window of Spatial Object |
| Window<- | Extract or Change the Window of a Spatial Object |
| Window<-.im | Extract or Change the Window of a Spatial Object |
| Window<-.ppp | Extract or Change the Window of a Spatial Object |
| Window<-.psp | Extract or Change the Window of a Spatial Object |
| with.fv | Evaluate an Expression in a Function Table |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe |
| yardstick | Text, Arrow or Scale Bar in a Diagram |
| zapsmall.im | Rounding of Pixel Values |
| $.hyperframe | Extract or Replace Subset of Hyperframe |
| $<-.fv | Extract or Replace Subset of Function Values |
| $<-.hyperframe | Extract or Replace Subset of Hyperframe |
| %mark% | Marks of a Point Pattern |
| [.anylist | Extract or Replace Subset of a List of Things |
| [.fasp | Extract Subset of Function Array |
| [.fv | Extract or Replace Subset of Function Values |
| [.hyperframe | Extract or Replace Subset of Hyperframe |
| [.im | Extract Subset of Image |
| [.influence.ppm | Extract Subset of Influence Object |
| [.layered | Extract or Replace Subset of a Layered Object |
| [.leverage.ppm | Extract Subset of Leverage Object |
| [.linnet | Extract Subset of Linear Network |
| [.lpp | Extract Subset of Point Pattern on Linear Network |
| [.msr | Extract Subset of Signed or Vector Measure |
| [.owin | Extract Subset of Window |
| [.ppp | Extract or Replace Subset of Point Pattern |
| [.ppx | Extract Subset of Multidimensional Point Pattern |
| [.psp | Extract Subset of Line Segment Pattern |
| [.quad | Subset of Quadrature Scheme |
| [.solist | Extract or Replace Subset of a List of Spatial Objest |
| [.splitppp | Extract or Replace Sub-Patterns |
| [.tess | Extract or Replace Subset of Tessellation |
| [<-.anylist | Extract or Replace Subset of a List of Things |
| [<-.fv | Extract or Replace Subset of Function Values |
| [<-.hyperframe | Extract or Replace Subset of Hyperframe |
| [<-.im | Reset Values in Subset of Image |
| [<-.layered | Extract or Replace Subset of a Layered Object |
| [<-.listof | Extract or Replace Subset of a List of Things |
| [<-.ppp | Extract or Replace Subset of Point Pattern |
| [<-.solist | Extract or Replace Subset of a List of Spatial Objest |
| [<-.splitppp | Extract or Replace Sub-Patterns |
| [<-.tess | Extract or Replace Subset of Tessellation |
| [[<-.layered | Extract or Replace Subset of a Layered Object |