A B C D E F G H I J K L M N O P Q R S T U V W 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 |
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 |
append.psp | Combine Two Line Segment Patterns |
applynbd | Apply Function to Every Neighbourhood in a Point Pattern |
area.owin | Area of a Window |
areaGain | Difference of Disc Areas |
AreaInter | The Area Interaction Point Process Model |
areaLoss | Difference of Disc Areas |
as.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.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.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.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 | Methods for Functions on Linear Network |
as.linnet.linnet | Methods for Linear Networks |
as.linnet.lpp | Methods for Linear Networks |
as.linnet.lppm | Methods for Fitted Point Process Models on a 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.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 |
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 |
bermantest | Berman's Tests for Point Process Model |
bermantest.lpp | Berman's Tests for Point Process Model |
bermantest.lppm | Berman's Tests for Point Process Model |
bermantest.ppm | Berman's Tests for Point Process Model |
bermantest.ppp | Berman's Tests for Point Process Model |
betacells | Beta Ganglion Cells in Cat Retina |
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 |
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 |
circumradius | Circumradius and Diameter of a Linear Network |
clarkevans | Clark and Evans Aggregation Index |
clarkevans.test | Clark and Evans Test |
clear.simplepanel | Run Point-and-Click Interface |
clickbox | Interactively Define a Rectangle |
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 |
closing | Morphological Closing |
closing.owin | Morphological Closing |
closing.ppp | Morphological Closing |
closing.psp | Morphological Closing |
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 |
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.listof | Plot a List of Things |
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 |
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 |
deltametric | Delta Metric |
demohyper | Demonstration Example of Hyperframe of Spatial Data |
demopat | Artificial Data Point Pattern |
density.ppp | Kernel Smoothed Intensity of Point Pattern |
density.psp | Kernel Smoothing of Line Segment Pattern |
density.splitppp | Kernel Smoothed Intensity of Split Point Pattern |
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.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 |
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 |
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 |
empty.space | Estimate the empty space function F |
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 |
fasp.object | Function Arrays for Spatial Patterns |
Fest | Estimate the empty space function F |
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 |
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 |
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.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.im | Make Pixel Images 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 |
hist.im | Histogram of Pixel Values in an Image |
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.listof | Plot a List of Things |
image.objsurf | Methods for Objective Function Surfaces |
imcov | Spatial Covariance of a Pixel Image |
incircle | Find Largest Circle Inside Window |
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.im | Integral of a Pixel Image |
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.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.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.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.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.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 |
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 |
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 |
kstest | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model |
kstest.lpp | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model |
kstest.lppm | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model |
kstest.mppm | Kolmogorov-Smirnov Test for Multiple Point Process Model |
kstest.ppm | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model |
kstest.ppp | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model |
kstest.slrm | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model |
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 Correlation Integral |
markmean | Spatial smoothing of observations at irregular points |
marks | Marks of a Point Pattern |
marks.ppp | Marks of a Point Pattern |
marks.ppx | Marks of a Point Pattern |
marks.psp | Marks of a Line Segment Pattern |
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 |
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 |
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.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 | Morishita 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 |
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 |
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 |
opening | Morphological Opening |
opening.owin | Morphological Opening |
opening.ppp | Morphological Opening |
opening.psp | Morphological Opening |
Ord | Generic Ord Interaction model |
ord.family | Ord Interaction Process Family |
OrdThresh | Ord's Interaction model |
osteo | Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns |
overlap.owin | Compute Area of Overlap |
owin | Create a Window |
owin.object | Class owin |
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 |
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 |
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 |
pixelcentres | Extract Pixel Centres as Point Pattern |
pixellate | Convert Spatial Object to Pixel Image |
pixellate.owin | Convert Window to Pixel Image |
pixellate.ppp | Convert Point Pattern to Pixel Image |
pixellate.psp | Convert Line Segment Pattern to Pixel Image |
pixelquad | Quadrature Scheme Based on Pixel Grid |
pknn | Theoretical Distribution of Nearest Neighbour Distance |
plot.bermantest | Plot Result of Berman Test |
plot.colourmap | Plot a Colour Map |
plot.diagppm | Diagnostic Plots for Fitted Point Process Model |
plot.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.infline | Infinite Straight Lines |
plot.influence.ppm | Plot Influence Measure |
plot.kppm | Plot a fitted cluster point process |
plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test |
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.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.splitppp | Plot a List of Point Patterns |
plot.symbolmap | Plot a Graphics Symbol Map |
plot.tess | Plot a tessellation |
plot.texturemap | Plot a Texture Map |
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.envelope | Pool Data from Several Envelopes |
pool.fasp | Pool Data from Several Function Arrays |
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 |
progressreport | Print Progress Reports |
project.ppm | Force Point Process Model to be Valid |
project2segment | Move Point To Nearest Line |
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 |
quantile.ewcdf | Quantiles of Weighted Empirical Cumulative Distribution Function |
quantile.im | Sample Quantiles of Pixel Image |
quasirandom | Quasirandom Patterns |
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 | 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 |
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 |
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 |
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 |
selfcrossing.psp | Crossing Points in a Line Segment Pattern |
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.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 |
solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True |
spatstat | The Spatstat Package |
spatstat.options | Internal Options in Spatstat Package |
split.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 |
spruces | Spruces Point Pattern |
square | Square Window |
stieltjes | Compute Integral of Function Against Cumulative Distribution |
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 |
suffstat | Sufficient Statistic of Point Process Model |
sum.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image |
summary.fii | Methods for Fitted Interactions |
summary.im | Summarizing a Pixel Image |
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.owin | Summary of a Spatial Window |
summary.pp3 | Methods for three-dimensional point patterns |
summary.ppm | Summarizing a Fitted Point Process Model |
summary.ppp | Summary of a Point Pattern Dataset |
summary.psp | Summary of a Line Segment Pattern Dataset |
summary.quad | Summarizing a Quadrature Scheme |
summary.splitppp | Summary of a Split Point Pattern |
summary.units | Methods for Units |
sumouter | Compute Quadratic Forms |
superimpose | Superimpose Several Geometric Patterns |
superimpose.default | Superimpose Several Geometric Patterns |
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 |
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 |
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 |
vertices | Vertices of a Window |
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.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 |
with.fv | Evaluate an Expression in a Function Table |
with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe |
zapsmall.im | Rounding of Pixel Values |
$.hyperframe | Extract or Replace Subset of Hyperframe |
$<-.hyperframe | Extract or Replace Subset of Hyperframe |
%mark% | Marks of a Point Pattern |
[.fasp | Extract Subset of Function Array |
[.fv | Extract 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 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 |
[.splitppp | Extract or Replace Sub-Patterns |
[.tess | Extract or Replace Subset of Tessellation |
[<-.hyperframe | Extract or Replace Subset of Hyperframe |
[<-.im | Reset Values in Subset of Image |
[<-.listof | Extract or Replace Subset of a List of Things |
[<-.ppp | Extract or Replace Subset of Point Pattern |
[<-.splitppp | Extract or Replace Sub-Patterns |
[<-.tess | Extract or Replace Subset of Tessellation |