spatstat v1.23-2
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Spatial Point Pattern analysis, model-fitting, simulation, tests
A package for analysing spatial data, mainly Spatial Point
Patterns, including multitype/marked points and spatial
covariates, in any two-dimensional spatial region. Also
supports three-dimensional point patterns, and space-time point
patterns in any number of dimensions. Contains over 1000
functions for plotting spatial data, exploratory data analysis,
model-fitting, simulation, spatial sampling, model diagnostics,
and formal inference. Data types include point patterns, line
segment patterns, spatial windows, pixel images and
tessellations. Exploratory methods include K-functions, nearest
neighbour distance and empty space statistics, Fry plots, pair
correlation function, kernel smoothed intensity, relative risk
estimation with cross-validated bandwidth selection, mark
correlation functions, segregation indices, mark dependence
diagnostics etc. Point process models can be fitted to point
pattern data using functions ppm, kppm, slrm similar to glm.
Models may include dependence on covariates, interpoint
interaction, cluster formation and dependence on marks. Fitted
models can be simulated automatically. Also provides facilities
for formal inference (such as chi-squared tests) and model
diagnostics (including simulation envelopes, residuals,
residual plots and Q-Q plots).
Functions in spatstat
Name | Description | |
Hest | Spherical Contact Distribution Function | |
Extract.splitppp | Extract or Replace Sub-Patterns | |
Kest.fft | K-function using FFT | |
Kcom | Model Compensator of K Function | |
Kmeasure | Reduced Second Moment Measure | |
Extract.ppp | Extract or Replace Subset of Point Pattern | |
G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |
Gres | Residual G Function | |
Extract.fv | Extract Subset of Function Values | |
Gcom | Model Compensator of Nearest Neighbour Function | |
Jmulti | Marked J Function | |
MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
betacells | Beta Ganglion Cells in Cat Retina | |
allstats | Calculate four standard summary functions of a point pattern. | |
cbind.hyperframe | Combine Hyperframes by Rows or by Columns | |
Kres | Residual K Function | |
DiggleGatesStibbard | Diggle-Gates-Stibbard Point Process Model | |
Gest | Nearest Neighbour Distance Function G | |
bdist.pixels | Distance to Boundary of Window | |
bermantest | Berman's Tests for Point Process Model | |
MultiHard | The Multitype Hard Core Point Process Model | |
Extract.psp | Extract Subset of Line Segment Pattern | |
crossdist | Pairwise distances | |
as.data.frame.hyperframe | Coerce Hyperframe to Data Frame | |
coords | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern | |
as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask | |
as.mask | Pixel Image Approximation of a Window | |
Extract.fasp | Extract Subset of Function Array | |
as.hyperframe | Convert Data to Hyperframe | |
colourmap | Colour Lookup Tables | |
as.polygonal | Convert a Window to a Polygonal Window | |
Extract.msr | Extract Subset of Signed or Vector Measure | |
box3 | Three-Dimensional Box | |
PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
density.psp | Kernel Smoothing of Line Segment Pattern | |
crossdist.ppx | Pairwise Distances Between Two Different Multi-Dimensional Point Patterns | |
bei | Tropical rain forest trees | |
circumradius | Circumradius and Diameter of a Linear Network | |
Emark | Diagnostics for random marking | |
Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
Fiksel | The Fiksel Interaction | |
Fest | Estimate the empty space function F | |
Jest | Estimate the J-function | |
cut.im | Convert Pixel Image from Numeric to Factor | |
Pairwise | Generic Pairwise Interaction model | |
Extract.im | Extract Subset of Image | |
Kmulti | Marked K-Function | |
ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
Softcore | The Soft Core Point Process Model | |
DiggleGratton | Diggle-Gratton model | |
Ord | Generic Ord Interaction model | |
finpines | Pine saplings in Finland. | |
crossing.psp | Crossing Points of Two Line Segment Patterns | |
copper | Berman-Huntington points and lines data | |
Kscaled | Locally Scaled K-function | |
OrdThresh | Ord's Interaction model | |
crossdist.default | Pairwise distances between two different sets of points | |
SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
data.ppm | Extract Original Data from a Fitted Point Process Model | |
anova.slrm | Analysis of Deviance for Spatial Logistic Regression Models | |
Linhom | L-function | |
amacrine | Hughes' Amacrine Cell Data | |
Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
closing | Morphological Closing | |
Kdot | Multitype K Function (i-to-any) | |
anova.ppm | ANOVA for Fitted Point Process Models | |
complement.owin | Take Complement of a Window | |
chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
Replace.im | Reset Values in Subset of Image | |
as.data.frame.im | Convert Pixel Image to Data Frame | |
as.ppp | Convert Data To Class ppp | |
default.expand | Compute Expansion Window for Simulation | |
as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
is.marked | Test Whether Marks Are Present | |
concatxy | Concatenate x,y Coordinate Vectors | |
spatstat-deprecated | Deprecated spatstat functions | |
discretise | Safely Convert Point Pattern Window to Binary Mask | |
demopat | Artificial Data Point Pattern | |
gpc2owin | Convert Polygonal Region into Different Format | |
compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
markvario | Mark Variogram | |
as.owin | Convert Data To Class owin | |
dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
convexhull | Convex Hull | |
fryplot | Fry Plot of Point Pattern | |
endpoints.psp | Endpoints of Line Segment Pattern | |
pairdist.default | Pairwise distances | |
japanesepines | Japanese Pines Point Pattern | |
linearpcf | Linear Pair Correlation Function | |
alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
envelope | Simulation Envelopes of Summary Function | |
anova.lppm | ANOVA for Fitted Point Process Models on Linear Network | |
ppp | Create a Point Pattern | |
bronzefilter | Bronze gradient filter data | |
chicago | Chicago Street Crime Data | |
clickpoly | Interactively Define a Polygon | |
clarkevans.test | Clark and Evans Test | |
matclust.estpcf | Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation | |
centroid.owin | Centroid of a window | |
as.tess | Convert Data To Tessellation | |
ants | Harkness-Isham ants' nests data | |
contour.im | Contour plot of pixel image | |
eval.fv | Evaluate Expression Involving Functions | |
as.box3 | Convert Data to Three-Dimensional Box | |
blur | Apply Gaussian Blur to a Pixel Image | |
interp.im | Interpolate a Pixel Image | |
quadrats | Divide Region into Quadrats | |
diameter | Diameter of an Object | |
formula.ppm | Model Formulae for Gibbs Point Process Models | |
as.rectangle | Window Frame | |
is.stationary | Recognise Stationary and Poisson Point Process Models | |
bw.stoyan | Stoyan's Rule of Thumb for Bandwidth Selection | |
envelope.lpp | Envelope for Point Patterns on Linear Network | |
identify.psp | Identify Segments in a Line Segment Pattern | |
is.convex | Test Whether a Window is Convex | |
as.matrix.im | Convert Pixel Image to Matrix or Array | |
bdist.tiles | Distance to Boundary of Window | |
bramblecanes | Hutchings' Bramble Canes data | |
eval.im | Evaluate Expression Involving Pixel Images | |
is.owin | Test Whether An Object Is A Window | |
intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |
Kmodel | K function of a model | |
Kinhom | Inhomogeneous K-function | |
clip.infline | Intersect Infinite Straight Lines with a Window | |
corners | Corners of a rectangle | |
hyperframe | Hyper Data Frame | |
F3est | Empty Space Function of a Three-Dimensional Point Pattern | |
im | Create a Pixel Image Object | |
persp.im | Perspective Plot of Pixel Image | |
lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
inside.owin | Test Whether Points Are Inside A Window | |
plot.slrm | Plot a Fitted Spatial Logistic Regression | |
Kcross.inhom | Inhomogeneous Cross K Function | |
fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
Lcross.inhom | Inhomogeneous Cross Type L Function | |
cells | Biological Cells Point Pattern | |
Lcross | Multitype L-function (cross-type) | |
affine | Apply Affine Transformation | |
bounding.box | Bounding Box of a Window or Point Pattern | |
Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
lpp | Create Point Pattern on Linear Network | |
Jdot | Multitype J Function (i-to-any) | |
letterR | Window in Shape of Letter R | |
coef.slrm | Coefficients of Fitted Spatial Logistic Regression Model | |
fitted.slrm | Fitted Probabilities for Spatial Logistic Regression | |
as.interact | Extract Interaction Structure | |
markcorrint | Mark Correlation Integral | |
intersect.tess | Intersection of Two Tessellations | |
npfun | Dummy Function Returns Number of Points | |
affine.ppp | Apply Affine Transformation To Point Pattern | |
kppm | Fit Cluster or Cox Point Process Model | |
localKinhom | Inhomogeneous Neighbourhood Density Function | |
nndist.psp | Nearest neighbour distances between line segments | |
quad.object | Class of Quadrature Schemes | |
nncross | Nearest Neighbours Between Two Patterns | |
diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |
rpoispp | Generate Poisson Point Pattern | |
crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns | |
pairdist | Pairwise distances | |
affine.owin | Apply Affine Transformation To Window | |
diameter.boxx | Geometrical Calculations for Multi-Dimensional Box | |
nsegments | Number of Line Segments in a Line Segment Pattern | |
dirichlet | Dirichlet Tessellation of Point Pattern | |
opening | Morphological Opening | |
connected | Connected components of an image or window | |
distmap.ppp | Distance Map of Point Pattern | |
K3est | K-function of a Three-Dimensional Point Pattern | |
marks.psp | Marks of a Line Segment Pattern | |
Kest | K-function | |
distfun | Distance Map as a Function | |
logLik.slrm | Loglikelihood of Spatial Logistic Regression | |
eroded.areas | Areas of Morphological Erosions | |
delaunay | Delaunay Triangulation of Point Pattern | |
clickjoin | Interactively join vertices on a plot | |
is.subset.owin | Determine Whether One Window is Contained In Another | |
plot.hyperframe | Plot Entries in a Hyperframe | |
runiflpp | Uniform Random Points on a Linear Network | |
deltametric | Delta Metric | |
markcorr | Mark Correlation Function | |
diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
im.object | Class of Images | |
pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |
is.multitype | Test whether Object is Multitype | |
plot.im | Plot a Pixel Image | |
disc | Circular Window | |
pixelquad | Quadrature Scheme Based on Pixel Grid | |
ppx | Multidimensional Space-Time Point Pattern | |
expand.owin | Expand Window By Factor | |
km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
pppdist | Distance Between Two Point Patterns | |
marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
as.function.fv | Convert Function Value Table to Function | |
linearpcfinhom | Inhomogeneous Linear Pair Correlation Function | |
Iest | Estimate the I-function | |
methods.lpp | Methods for Point Patterns on a Linear Network | |
print.im | Print Brief Details of an Image | |
selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
summary.psp | Summary of a Line Segment Pattern Dataset | |
border | Border Region of a Window | |
plot.ppp | plot a Spatial Point Pattern | |
pointsOnLines | Place Points Evenly Along Specified Lines | |
methods.boxx | Methods for Multi-Dimensional Box | |
integral.im | Integral of a Pixel Image | |
LennardJones | The Lennard-Jones Potential | |
bw.relrisk | Cross Validated Bandwidth Selection for Relative Risk Estimation | |
summary.listof | Summary of a List of Things | |
mean.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image | |
msr | Signed or Vector-Valued Measure | |
progressreport | Print Progress Reports | |
bounding.box.xy | Convex Hull of Points | |
nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
coef.ppm | Coefficients of Fitted Point Process Model | |
crossdist.ppp | Pairwise distances between two different point patterns | |
flu | Influenza Virus Proteins | |
quadratresample | Resample a Point Pattern by Resampling Quadrats | |
plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
print.ppp | Print Brief Details of a Point Pattern Dataset | |
rescale.im | Convert Pixel Image to Another Unit of Length | |
chorley | Chorley-Ribble Cancer Data | |
lengths.psp | Lengths of Line Segments | |
print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
is.empty | Test Whether An Object Is Empty | |
psstG | Pseudoscore Diagnostic For Fitted Model against Saturation Alternative | |
pcfinhom | Inhomogeneous Pair Correlation Function | |
as.im | Convert to Pixel Image | |
ripras | Estimate window from points alone | |
rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
localK | Neighbourhood density function | |
by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
compatible.fv | Test Whether Two Function Objects Are Compatible | |
smooth.msr | Smooth a Signed or Vector-Valued Measure | |
npoints | Number of Points in a Point Pattern | |
rMatClust | Simulate Matern Cluster Process | |
pairdist.ppx | Pairwise Distances in Any Dimensions | |
model.images | Compute Images of Constructed Covariates | |
nztrees | New Zealand Trees Point Pattern | |
murchison | Murchison gold deposits | |
rescale | Convert dataset to another unit of length | |
plot.fasp | Plot a Function Array | |
pcfdot | Multitype pair correlation function (i-to-any) | |
quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
rMaternI | Simulate Matern Model I | |
clickppp | Interactively Add Points | |
rMosaicField | Mosaic Random Field | |
simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
bind.fv | Combine Function Value Tables | |
reach | Interaction Distance of a Point Process | |
rescale.owin | Convert Window to Another Unit of Length | |
eem | Exponential Energy Marks | |
methods.pp3 | Methods for three-dimensional point patterns | |
pairdist.lpp | Pairwise shortest-path distances between points on a linear network | |
nbfires | Point Patterns of New Brunswick Forest Fires | |
multiplicity.ppp | Count Multiplicity of Duplicate Points | |
rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
harmonic | Basis for Harmonic Functions | |
pp3 | Three Dimensional Point Pattern | |
rshift | Random Shift | |
rjitter | Random Perturbation of a Point Pattern | |
dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
superimpose | Superimpose Several Geometric Patterns | |
flipxy | Exchange X and Y Coordinates | |
reduced.sample | Reduced Sample Estimator using Histogram Data | |
rmpoispp | Generate Multitype Poisson Point Pattern | |
nearest.raster.point | Find Pixel Nearest to a Given Point | |
distmap.owin | Distance Map of Window | |
fasp.object | Function Arrays for Spatial Patterns | |
pairdist.pp3 | Pairwise distances in Three Dimensions | |
envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern | |
is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
ppm.object | Class of Fitted Point Process Models | |
humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
rpoisppx | Generate Poisson Point Pattern in Any Dimensions | |
rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
methods.kppm | Methods for Cluster Point Process Models | |
with.fv | Evaluate an Expression in a Function Table | |
summary.quad | Summarizing a Quadrature Scheme | |
psp | Create a Line Segment Pattern | |
rstrat | Simulate Stratified Random Point Pattern | |
is.marked.ppp | Test Whether A Point Pattern is Marked | |
rshift.ppp | Randomly Shift a Point Pattern | |
linearK | Linear K Function | |
summary.ppp | Summary of a Point Pattern Dataset | |
pixellate | Convert Spatial Object to Pixel Image | |
with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |
spatstat-package | The Spatstat Package | |
pairs.im | Scatterplot Matrix for Pixel Images | |
psstA | Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative | |
quadratcount | Quadrat counting for a point pattern | |
plot.linnet | Plot a linear network | |
tile.areas | Compute Areas of Tiles in a Tessellation | |
lansing | Lansing Woods Point Pattern | |
Hardcore | The Hard Core Point Process Model | |
tiles | Extract List of Tiles in a Tessellation | |
project2segment | Move Point To Nearest Line | |
is.im | Test Whether An Object Is A Pixel Image | |
plot.ppm | plot a Fitted Point Process Model | |
latest.news | Print News About Latest Version of Package | |
pppmatching.object | Class of Point Matchings | |
Jcross | Multitype J Function (i-to-j) | |
tess | Create a Tessellation | |
shift.psp | Apply Vector Translation To Line Segment Pattern | |
Strauss | The Strauss Point Process Model | |
spruces | Spruces Point Pattern | |
pairsat.family | Saturated Pairwise Interaction Point Process Family | |
pixellate.psp | Convert Line Segment Pattern to Pixel Image | |
hist.im | Histogram of Pixel Values in an Image | |
rmh.ppm | Simulate from a Fitted Point Process Model | |
rescue.rectangle | Convert Window Back To Rectangle | |
runifpoint | Generate N Uniform Random Points | |
Poisson | Poisson Point Process Model | |
lgcp.estpcf | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
rcell | Simulate Baddeley-Silverman Cell Process | |
scaletointerval | Rescale Data to Lie Between Specified Limits | |
thomas.estpcf | Fit the Thomas Point Process by Minimum Contrast | |
lut | Lookup Tables | |
plot.colourmap | Plot a Colour Map | |
urkiola | Urkiola Woods Point Pattern | |
infline | Infinite Straight Lines | |
linim | Create Pixel Image on Linear Network | |
methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |
iplot | Point and Click Interface for Displaying a Point Pattern | |
append.psp | Combine Two Line Segment Patterns | |
rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
rpoislpp | Poisson Point Process on a Linear Network | |
plot.fv | Plot Function Values | |
spokes | Spokes pattern of dummy points | |
plot.kppm | Plot a fitted cluster point process | |
shapley | Galaxies in the Shapley Supercluster | |
linearKinhom | Inhomogeneous Linear K Function | |
logLik.ppm | Log Likelihood and AIC for Point Process Model | |
plot.msr | Plot a Signed or Vector-Valued Measure | |
marks | Marks of a Point Pattern | |
markconnect | Mark Connection Function | |
plot.linim | Plot Pixel Image on Linear Network | |
simplenet | Simple Example of Linear Network | |
mincontrast | Method of Minimum Contrast | |
runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |
ord.family | Ord Interaction Process Family | |
predict.ppm | Prediction from a Fitted Point Process Model | |
model.frame.ppm | Extract the Environment of a Point Process Model | |
vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |
square | Square Window | |
runifdisc | Generate N Uniform Random Points in a Disc | |
pcfcross | Multitype pair correlation function (cross-type) | |
owin.object | Class owin | |
smooth.ppp | Spatial smoothing of observations at irregular points | |
density.ppp | Kernel Smoothed Intensity of Point Pattern | |
plot.envelope | Plot a Simulation Envelope | |
distmap | Distance Map | |
Extract.listof | Extract or Replace Subset of a List of Things | |
AreaInter | The Area Interaction Point Process Model | |
compatible.im | Test Whether Two Pixel Images Are Compatible | |
MultiStrauss | The Multitype Strauss Point Process Model | |
StraussHard | The Strauss / Hard Core Point Process Model | |
rotate.psp | Rotate a Line Segment Pattern | |
unmark | Remove Marks | |
markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
plot.pp3 | Plot a three-dimensional point pattern | |
quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
rThomas | Simulate Thomas Process | |
fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
quantile.im | Sample Quantiles of Pixel Image | |
midpoints.psp | Midpoints of Line Segment Pattern | |
idw | Inverse-distance weighted smoothing of observations at irregular points | |
suffstat | Sufficient Statistic of Point Process Model | |
owin | Create a Window | |
rlabel | Random Re-Labelling of Point Pattern | |
rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
plot.splitppp | Plot a List of Point Patterns | |
perimeter | Perimeter Length of Window | |
areaLoss | Difference of Disc Areas | |
rotate | Rotate | |
rgbim | Create Colour-Valued Pixel Image | |
pcf | Pair Correlation Function | |
pixellate.ppp | Convert Point Pattern to Pixel Image | |
redwood | California Redwoods Point Pattern (Ripley's Subset) | |
plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
ppm | Fit Point Process Model to Data | |
update.kppm | Update a Fitted Cluster Point Process Model | |
ponderosa | Ponderosa Pine Tree Point Pattern | |
shift.im | Apply Vector Translation To Pixel Image | |
sharpen | Data Sharpening of Point Pattern | |
rescale.ppp | Convert Point Pattern to Another Unit of Length | |
shift.ppp | Apply Vector Translation To Point Pattern | |
localpcf | Local pair correlation function | |
volume | Volume of an Object | |
whist | Weighted Histogram | |
summary.owin | Summary of a Spatial Window | |
levelset | Level Set of a Pixel Image | |
predict.slrm | Predicted or Fitted Values from Spatial Logistic Regression | |
profilepl | Profile Maximum Pseudolikelihood | |
areaGain | Difference of Disc Areas | |
linnet | Create a Linear Network | |
as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
rNeymanScott | Simulate Neyman-Scott Process | |
as.psp | Convert Data To Class psp | |
runifpointx | Generate N Uniform Random Points in Any Dimensions | |
rmpoint | Generate N Random Multitype Points | |
nearestsegment | Find Line Segment Nearest to Each Point | |
scanpp | Read Point Pattern From Data File | |
rhohat | Smoothing Estimate of Covariate Transformation | |
angles.psp | Orientation Angles of Line Segments | |
rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
plot.owin | Plot a Spatial Window | |
pppmatching | Create a Point Matching | |
rthin | Random Thinning | |
rpoislinetess | Poisson Line Tessellation | |
nndist.ppx | Nearest Neighbour Distances in Any Dimensions | |
sumouter | Compute Quadratic Forms | |
rotate.owin | Rotate a Window | |
pcf.fasp | Pair Correlation Function obtained from array of K functions | |
smooth.fv | Apply Smoothing to Function Values | |
nnwhich.ppx | Nearest Neighbours in Any Dimensions | |
simdat | Simulated Point Pattern | |
rGaussPoisson | Simulate Gauss-Poisson Process | |
swedishpines | Swedish Pines Point Pattern | |
compareFit | Residual Diagnostics for Multiple Fitted Models | |
rMosaicSet | Mosaic Random Set | |
rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
simplify.owin | Approximate a Polygon by a Simpler Polygon | |
nndist.pp3 | Nearest neighbour distances in three dimensions | |
spatstat-internal | Internal spatstat functions | |
slrm | Spatial Logistic Regression | |
nnwhich | Nearest neighbour | |
which.max.im | Identify Pixelwise Maximum of Several Pixel Images | |
default.rmhcontrol | Set Default Control Parameters for Metropolis-Hastings Algorithm. | |
pairdist.ppp | Pairwise distances | |
dilated.areas | Areas of Morphological Dilations | |
pcf.fv | Pair Correlation Function obtained from K Function | |
erosion | Morphological Erosion | |
summary.im | Summarizing a Pixel Image | |
fv | Create a Function Value Table | |
unitname | Name for Unit of Length | |
pairwise.family | Pairwise Interaction Process Family | |
is.ppp | Test Whether An Object Is A Point Pattern | |
update.ppm | Update a Fitted Point Process Model | |
spatstat.options | Internal Options in Spatstat Package | |
pcf.ppp | Pair Correlation Function of Point Pattern | |
pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |
lurking | Lurking variable plot | |
nndist | Nearest neighbour distances | |
rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
rlinegrid | Generate grid of parallel lines with random displacement | |
pairdist.psp | Pairwise distances between line segments | |
rsyst | Simulate systematic random point pattern | |
is.marked.ppm | Test Whether A Point Process Model is Marked | |
periodify | Make Periodic Copies of a Spatial Pattern | |
rMaternII | Simulate Matern Model II | |
simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
print.owin | Print Brief Details of a Spatial Window | |
quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
psp.object | Class of Line Segment Patterns | |
raster.x | Cartesian Coordinates for a Pixel Raster | |
rshift.psp | Randomly Shift a Line Segment Pattern | |
runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
shift | Apply Vector Translation | |
summary.splitppp | Summary of a Split Point Pattern | |
union.quad | Union of Data and Dummy Points | |
BadGey | Hybrid Geyer Point Process Model | |
Extract.quad | Subset of Quadrature Scheme | |
Kcross | Multitype K Function (Cross-type) | |
Lest | L-function | |
Saturated | Saturated Pairwise Interaction model | |
by.im | Apply Function to Image Broken Down by Factor | |
clarkevans | Clark and Evans Aggregation Index | |
colourtools | Convert and Compare Colours in Different Formats | |
discpartarea | Area of Part of Disc | |
diameter.owin | Diameter of a Window | |
Extract.tess | Extract or Replace Subset of Tessellation | |
eval.fasp | Evaluate Expression Involving Function Arrays | |
ewcdf | Weighted Empirical Cumulative Distribution Function | |
Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
Geyer | Geyer's Saturation Point Process Model | |
is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
lppm | Fit Point Process Model to Point Pattern on Linear Network | |
matchingdist | Distance for a Point Pattern Matching | |
affine.psp | Apply Affine Transformation To Line Segment Pattern | |
methods.distfun | Methods for Distance Functions | |
methods.lppm | Methods for Fitted Point Process Models on a Linear Network | |
anemones | Beadlet Anemones Data | |
plot.quad | plot a Spatial Quadrature Scheme | |
plot.listof | Plot a List of Things | |
rknn | Theoretical Distribution of Nearest Neighbour Distance | |
convexhull.xy | Convex Hull of Points | |
default.dummy | Generate a Default Pattern of Dummy Points | |
dilation | Morphological Dilation | |
rpoisline | Generate Poisson Random Line Process | |
incircle | Find Largest Circle Inside Window | |
rshift.splitppp | Randomly Shift a List of Point Patterns | |
inforder.family | Infinite Order Interaction Family | |
setcov | Set Covariance of a Window | |
summary.ppm | Summarizing a Fitted Point Process Model | |
trim.rectangle | Cut margins from rectangle | |
vcov.kppm | Variance-Covariance Matrix for a Fitted Cluster Point Process Model | |
methods.linnet | Methods for Linear Networks | |
longleaf | Longleaf Pines Point Pattern | |
print.quad | Print a Quadrature Scheme | |
plot.bermantest | Plot Result of Berman Test | |
psst | Pseudoscore Diagnostic For Fitted Model against General Alternative | |
rLGCP | Simulate Log-Gaussian Cox Process | |
rSSI | Simulate Simple Sequential Inhibition | |
rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
shift.owin | Apply Vector Translation To Window | |
rpoint | Generate N Random Points | |
varblock | Estimate Variance of Summary Statistic by Subdivision | |
Gmulti | Marked Nearest Neighbour Distance Function | |
Gfox | Foxall's Distance Functions | |
boxx | Multi-Dimensional Box | |
collapse.fv | Collapse Several Function Tables into One | |
crossdist.psp | Pairwise distances between two different line segment patterns | |
cut.ppp | Classify Points in a Point Pattern | |
effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
fv.object | Function Value Table | |
gridweights | Compute Quadrature Weights Based on Grid Counts | |
identify.ppp | Identify Points in a Point Pattern | |
as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |
kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
methods.rhohat | Methods for Intensity Functions of Spatial Covariate | |
model.matrix.ppm | Extract Design Matrix from Point Process Model | |
pcf3est | Pair Correlation Function of a Three-Dimensional Point Pattern | |
pixellate.owin | Convert Window to Pixel Image | |
plot.psp | plot a Spatial Line Segment Pattern | |
plot.tess | Plot a tessellation | |
predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
print.ppm | Print a Fitted Point Process Model | |
residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
relrisk | Nonparametric Estimate of Spatially-Varying Relative Risk | |
rotate.ppp | Rotate a Point Pattern | |
split.ppp | Divide Point Pattern into Sub-patterns | |
thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
zapsmall.im | Rounding of Pixel Values | |
vertices | Vertices of a Window | |
stieltjes | Compute Integral of Function Against Cumulative Distribution | |
kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
residuals.ppm | Residuals for Fitted Point Process Model | |
bdist.points | Distance to Boundary of Window | |
unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
ppp.object | Class of Point Patterns | |
quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
area.owin | Area of a Window | |
distmap.psp | Distance Map of Line Segment Pattern | |
osteo | Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns | |
istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
Ldot | Multitype L-function (i-to-any) | |
miplot | Morishita Index Plot | |
hamster | Aherne's hamster tumour data | |
applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
split.im | Divide Image Into Sub-images | |
nnclean | Nearest Neighbour Clutter Removal | |
heather | Diggle's Heather Data | |
methods.box3 | Methods for Three-Dimensional Box | |
lineardisc | Compute Disc of Given Radius in Linear Network | |
nnwhich.pp3 | Nearest neighbours in three dimensions | |
gridcentres | Rectangular grid of points | |
rStrauss | Perfect Simulation of the Strauss Process | |
predict.lppm | Predict Point Process Model on Linear Network | |
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Details
Date | 2011-08-11 |
License | GPL (>= 2) |
URL | http://www.spatstat.org |
Packaged | 2011-08-11 02:55:15 UTC; adrian |
Repository | CRAN |
Date/Publication | 2011-08-11 06:59:26 |
depends | base (>= 2.13.0) , deldir (>= 0.0-10) , graphics , mgcv , R (>= 2.13.0) , stats , utils |
suggests | gpclib , maptools , RandomFields (>= 2.0) , rpanel , scatterplot3d , sm , spatial , tkrplot |
Contributors | Rolf Turner, Adrian Baddeley |
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