NEWS

spatstat.linnet 3.5-1 (2026-05-31)

OVERVIEW

Minor improvements.

NEW FUNCTIONS

intensity.lppm Intensity of a fitted point process model on a linear network.

spatstat.linnet 3.5-0 (2026-03-31)

OVERVIEW

More flexible interpretation of arguments "lambda = lppm" for inhomogeneous summary statistics.
Merge tiles of a tessellation on a network.
Specify the 'theoretical' value of the summary function in 'envelope'.
Minor improvements and bug fixes

NEW FUNCTIONS

mergeTiles.lintess Merge some of the tiles in a tessellation on a linear network.

SIGNIFICANT USER-VISIBLE CHANGES

linearKcross.inhom, linearKdot.inhom, linearpcfcross.inhom, linearpcfdot.inhom When argument 'lambdaI', 'lambdaJ' or 'lambdadot' is a point process model, the interpretation now depends on whether the model is multitype or unmarked. A multitype point process model will be interpreted as providing the intensity for each possible type of point. An unmarked point process model will be interpreted as providing the intensity only for the relevant type of point (type i only, type j only, or total intensity for all types of points).
density.lpp Argument 'weights' can be logical valued.
relrisk.lpp Argument 'weights' can be logical valued.
envelope.lpp, envelope.lppm New argument 'theoryfun' can be used to provide the theoretical value of the summary function.

BUG FIXES

quadratcount.lpp Crashed if 'tess' was a tessellation of class 'lintess'. Fixed.

spatstat.linnet 3.4-1 (2026-01-31)

OVERVIEW

Improved algorithm for integrating a function on a network.
Improvements to perspective plot of a function on a network.
Identify threads in a network.
lppm recognises the local coordinates 'seg' and 'tp'.
Minor improvements and bug fixes.

NEW FUNCTIONS

threads Identify threads in a network.

SIGNIFICANT USER-VISIBLE CHANGES

density.lpp Improved message output when verbose=TRUE.
integral.linfun New argument 'exact'. If 'exact=TRUE', a more accurate algorithm is used.
lppm The model formula may involve the local coordinates 'seg' and 'tp' ('seg' is segment number, 'tp' is relative position along the segment)
lurking.lppm, lurking.lpp Argument 'covariate' can be a function(x,y) or one of the strings "x", "y" or "tp".
persp.linim Improved behaviour close to vertices of the network. New argument 'extrapolate'.
persp.linim Argument 'col.base' can be a pixel image, allowing a colour image to be plotted on the horizontal plane at height zero.
persp.linim New argument 'zadjust' to adjust the vertical scale.

BUG FIXES

as.linnet.psp Crashed sometimes if the window of X was not convex. Fixed.
lurking.lppm Crashed if envelope=TRUE. Fixed.
plot.linnet Disobeyed 'do.plot=FALSE'. Fixed.
shortestpath This function was defined, but was not exported from spatstat.linnet. Fixed.

spatstat.linnet 3.4-0 (2025-11-29)

OVERVIEW

Diagnostics for a fitted point process model on a linear network.
Quadrat counting and quadrat tests on a linear network.
More geometrical operations on linear network objects.
Pixelwise arithmetic on a linear network.
Internal improvements.

NEW FUNCTIONS

as.lintess Convert other kinds of data to a tessellation on a network.
diagnose.lppm Diagnostic plots for point process model on a linear network.
eem.lppm Stoyan-Grabarnik exponential energy weights diagnostic.
harmonise.linim Convert several images on a network to a common pixel grid.
linim.apply Apply a function pixelwise to a list of images on a network.
lurking.lpp Lurking variable plot for point pattern on a linear network.
lurking.lppm Lurking variable plot for point process model on a linear network.
flipxy.linnet Swap x and y coordinates of a linear network
flipxy.lpp Swap x and y coordinates of a point pattern on a linear network
parres.lppm Partial residual plot for point process model on a linear network.
qqplot.lppm Residual Q-Q plot for point process model on a linear network.
quadratcount.lpp Method for quadrat counting on a linear network.
quadrat.test.lpp, quadrat.test.lppm Methods for quadrat test on a linear network.
residuals.lppm Residual measure for a point process model on a linear network.

SIGNIFICANT USER-VISIBLE CHANGES

as.linnet.psp New arguments 'chop' and 'fuse'.
bw.voronoi New argument 'metric' passed to 'densityVoronoi.lpp'.
densityVoronoi.lpp New argument 'metric' passed to 'lineardirichlet'.
integral.linim, integral.linfun Argument 'domain' can be a tessellation on a network (class 'lintess').
intersect.lintess Improved behaviour when X or Y is a 2D tessellation.
lineardirichlet New argument 'metric' allows the tessellation to be constructed using either the shortest-path distance or Euclidean distance.
linequad Argument 'Y' can be a linear network.
print.lintess Output improved.

BUG FIXES

intersect.lintess Result was incorrect if X was a tessellation and Y was a linear network. Fixed.

spatstat.linnet 3.3-2 (2025-09-24)

OVERVIEW

Summary functions handle NA objects.

SIGNIFICANT USER-VISIBLE CHANGES

Summary functions (linearK, linearKinhom, linearKeuclid, linearKcross, linearKdot, linearKcross.inhom, linearKdot.inhom linearpcf, linearpcfinhom, linearpcfEuclid linearpcfcross, linearpcfdot, linearpcfcross.inhom, linearpcfdot.inhom linearmarkequal, linearmarkconnect, linearJinhom) If X is a missing point pattern, a missing object of class 'fv' is returned.

spatstat.linnet 3.3-1 (2025-07-24)

OVERVIEW

Minor changes to documents to satisfy CRAN package checker.

spatstat.linnet 3.3-0

OVERVIEW

Extension of ROC curves.
Interactively identify segments of a network.
Interactively identify tiles of a tessellation on a network.

NEW FUNCTIONS

identify.linnet Interactively identify segments of a network.
identify.lintess Interactively identify tiles of a tessellation on a network.
as.linfun.linnet Create a function on a linear network which maps each network segment to a specified value.

SIGNIFICANT USER-VISIBLE CHANGES

roc.lpp New argument 'baseline' allows calculation of ROC relative to a baseline.
roc.lpp New argument 'weights' for numerical weights on the data points.
roc.lpp New argument 'method' determines the estimation method. New options include a kernel smoothing estimate and a monotone estimate.
roc.lpp New arguments 'CI', 'alpha' for calculating confidence intervals.
roc.lpp New argument 'subset' specifies a sub-region of the spatial domain in which the ROC should be calculated.
roc.lppm New argument 'baseline' allows calculation of ROC relative to a baseline.
roc.lppm New argument 'method' determines the estimation method. New options include a kernel smoothing estimate and a monotone estimate.
roc.lppm New arguments 'CI', 'alpha' for calculating confidence intervals.
roc.lppm New argument 'subset' specifies a sub-region of the spatial domain in which the ROC should be calculated.
roc.lppm New argument 'leaveoneout' specifies whether to use leave-one-out estimates of intensity at the data points.
chop.linnet Improved labels of tiles in the resulting tessellation.

spatstat.linnet 3.2-6 (2025-05-23)

OVERVIEW

Bug fix in "[.lpp"

BUG FIXES

[.lpp Results with snip=TRUE were incorrect in some cases. Fixed.

spatstat.linnet 3.2-5 (2025-01-22)

OVERVIEW

Minor changes in documentation to satisfy the package checker.

spatstat.linnet 3.2-4

OVERVIEW

Bug fix in lppm.

BUG FIXES

lppm For models involving covariates of class 'lintess', the internal structure of the fitted model was corrupted, leading to errors in calculating properties of the fitted model, such as predict.lppm. [Spotted by Andrea Gilardi.] [Bug fix requires spatstat.model 3.3-3.002] Fixed.

spatstat.linnet 3.2-3 (2024-11-19)

OVERVIEW

Shortest path between two points on a network.

NEW FUNCTIONS

shortestpath Find the shortest path between two specified points on a network, and return it as a line segment pattern.

spatstat.linnet 3.2-2 (2024-09-20)

OVERVIEW

Tweaks to documentation.
Internal improvements.

spatstat.linnet 3.2-1 (2024-07-15)

OVERVIEW

Internal tweaks to satisfy CRAN package checker.

spatstat.linnet 3.2-0

OVERVIEW

spatstat.linnet now depends on 'spatstat.univar'.
extract the subset of an image that lies on selected segments of network.
Minor improvements.
Internal improvements.

PACKAGE DEPENDENCE

spatstat.linnet Now depends on the new package 'spatstat.univar'.

SIGNIFICANT USER-VISIBLE CHANGES

identify.lpp Automatically starts a new plot device and displays 'x' if there is no plot device open.
thinNetwork X can be a pixel image on a linear network (object of class 'linim').
plot.linnet, plot.lpp These functions now recognise the argument 'adj.main'.

spatstat.linnet 3.1-5 (2024-03-25)

OVERVIEW

Slightly accelerated.
Internal stability improvements.

SIGNIFICANT USER-VISIBLE CHANGES

spatstat.linnet package Some computations slightly accelerated.

spatstat.linnet 3.1-4 (2024-02-04)

OVERVIEW

Added a full list of functions to the main help file.
Intersection of a 2D tessellation with a network.
Internal improvements.

SIGNIFICANT USER-VISIBLE CHANGES

intersect.lintess Can compute the intersection between a two-dimensional tessellation and a linear network (yielding a tessellation on the network).

spatstat.linnet 3.1-3 (2023-10-28)

OVERVIEW

Minor corrections to help files.

spatstat.linnet 3.1-2

OVERVIEW

Minor improvements to help files.

spatstat.linnet 3.1-1 (2023-05-15)

OVERVIEW

Minor improvements

SIGNIFICANT USER-VISIBLE CHANGES

rhohat.lpp, rhohat.lppm New argument 'rule.eps' passed to 'as.mask'.
as.linim.default, as.linim.linfun New argument 'rule.eps' passed to 'as.mask'.

spatstat.linnet 3.1-0 (2023-04-14)

OVERVIEW

Inhomogeneous K and pcf using automatic estimation of intensity.
density.lpp accepts bandwidth selection rules.
density.lpp accepts sigma=NULL and has a simple default.
Updated package documentation.

SIGNIFICANT USER-VISIBLE CHANGES

linearKinhom, linearpcfinhom, linearKEuclidInhom, linearpcfEuclidInhom Argument 'lambda=NULL' is now interpreted to mean that the intensity should be estimated by kernel smoothing. A warning is issued that this is different from the previous behaviour.
linearKdot.inhom, linearpcfdot.inhom Argument 'lambdaI=NULL' or 'lambdadot=NULL' is now interpreted to mean that the intensity should be estimated by kernel smoothing.
linearKcross.inhom, linearpcfcross.inhom Argument 'lambdaI=NULL' or 'lambdaJ=NULL' is now interpreted to mean that the intensity should be estimated by kernel smoothing.
density.lpp Argument 'sigma' can now be a function in the R language, assumed to provide a bandwidth selection rule. This function will be applied to the point pattern x to compute the bandwidth.
density.lpp Argument 'sigma=NULL' is now accepted. The default value is one-eighth of the length of the shortest side of the bounding box of x.
densityQuick.lpp Argument 'X' changed to 'x' for consistency.
linearpcfinhom New arguments 'adjust.sigma', 'bw' and 'adjust.bw'.
linearpcfdot.inhom, linearpcfcross.inhom New arguments 'adjust.sigma', 'bw' and 'adjust.bw'.
linearpcfEuclidInhom New arguments 'adjust.sigma', 'bw' and 'adjust.bw'.

spatstat.linnet 3.0-6 (2023-02-22)

OVERVIEW

Internal improvements and bug fixes.

spatstat.linnet 3.0-5

OVERVIEW

Improvements and bug fixes in 'lppm' class.
Minor extension to random generators.

SIGNIFICANT USER-VISIBLE CHANGES

runiflpp, rpoislpp The simulation parameters can be determined from an example point pattern, given as the argument 'ex'.
print.lppm, summary.lppm The name of the original point pattern dataset (to which the model was fitted) is now printed.
print.lppm, summary.lppm Improved output.
update.lppm Internal improvements.

spatstat.linnet 3.0-4 (2023-01-27)

OVERVIEW

quantile function on a network.
Minor enhancements and bug fixes.

NEW FUNCTIONS

quantilefun.linim Quantile function, returned as a function. Method for 'quantilefun' for images on a network.

BUG FIXES

relrisk.lpp Crashed if allow.infinite=FALSE. Fixed.

spatstat.linnet 3.0-3 (2022-11-15)

OVERVIEW

We thank Brian Ripley for contributions.
Internal bug fix.

BUG FIXES

pairdist.lpp Results could have been completely incorrect, due to an internal bug, if the linear network data was in the non-sparse representation.

spatstat.linnet 3.0-2 (2022-11-09)

OVERVIEW

Internal tweaks to satisfy package checker.

spatstat.linnet 3.0-1

OVERVIEW

Internal improvements.

spatstat.linnet 3.0-0

OVERVIEW

We thank Greg McSwiggan, Fernando Milesi, Mehdi Moradi, Gopalan Nair and James Pope for contributions.
spatstat.linnet now depends on the new packages 'spatstat.explore' and 'spatstat.model' rather than the old 'spatstat.core'.
Kernel smoothing on a linear network.
K function and pair correlation function based on Euclidean distance.
Inhomogeneous J function on a network.
Terminal vertices of a network.
Points along a network can be drawn as cross-ticks.
Marks attached to vertices and segments of a network.
Important change to K function and pair correlation function when 'ratio=TRUE'.
U-shaped curves in 'rhohat'.
Faster computation of the length of the disc in the shortest path metric.
Minor improvements and bug fixes.
Improvements to internal code.
Minor internal changes to package information.

NEW FUNCTIONS

lineardisclength Compute the length of the disc in the shortest-path metric.
marks.linnet, marks<-.linnet Marks attached to the vertices and segments of a linear network.
Smooth.lpp Kernel smoothing (Nadaraya-Watson) on a linear network.
distmap.lpp Distance map for a point pattern on a network.
linearKEuclid, linearpcfEuclid, linearKEuclidInhom, linearpcfEuclidInhom K function and pair correlation function based on Euclidean distances.
linearJinhom Inhomogeneous J function on a linear network.
terminalvertices Extract the terminal vertices of a linear network.
bw.relrisk.lpp This function replaces 'bw.relrisklpp' and is a method for the generic 'bw.relrisk'.
rThomaslpp Simulate Thomas cluster process on a network.

SIGNIFICANT USER-VISIBLE CHANGES

Package dependence 'spatstat.linnet' now depends on the new packages 'spatstat.explore' and 'spatstat.model' rather than the old 'spatstat.core'.
plot.lpp If 'shape="crossticks"', the points will be drawn as short line segments perpendicular to the network.
linearK, linearpcf, linearKdot, linearKcross, linearpcfcross, linearpcfdot When 'ratio=TRUE', the denominator is now equal to the number of ordered pairs of data points considered. This does not affect the summary function, but it changes the calculation of pooled estimates.
densityQuick.lpp If 'sigma' is a function for selecting a bandwidth, additional arguments '...' of densityQuick.lpp will be passed to 'sigma', provided they match the name of a formal argument of 'sigma'.
bw.relrisklpp This function is now deprecated, and is replaced by 'bw.relrisk.lpp', a method for the generic 'bw.relrisk'.
bw.relrisk.lpp When 'method="likelihood"', the cross-validation criterion is now defined as the *negative* likelihood. This is consistent with 'bw.relrisk.ppp', and ensures that the optimum bandwidth is always found by minimising the cross-validation criterion.
integral.linim, integral.linfun New argument 'weight' specifies a weight function for the integration.
rhohat.lpp, rhohat.lppm New options 'smoother="mountain"' and 'smoother="valley"' for estimating a unimodal function (U-shaped curve).
rhohat.lpp, rhohat.lppm If the covariate is a 'distfun' on a network, the unit of length will be saved, and will be displayed on the plot.
rhohat.lpp, rhohat.lppm New arguments 'jitter', 'jitterfactor', 'interpolate' allow greater control over the calculation.
plot.linnet Optionally displays the marks of the segments or marks of the vertices. Changed argument list.
print.linnet, summary.linnet These functions print information about marks of the segments or vertices.
predict.lppm Can now compute standard errors.
predict.lppm New formal arguments 'covariates' and 'se'.
rhohat.lpp, rhohat.lppm New argument 'do.CI' specifies whether to calculate confidence bands.

BUG FIXES

density.lpp If 'weights' were given, the results were completely incorrect when leaveoneout=TRUE (the default) and at="points".
spatstat.model::effectfun Results were sometimes incorrect for 'lppm' objects. [Spotted by Fernando A. Milesi] Fixed.
predict.lppm Ignored argument 'covariates'. Fixed.
rhohat.lpp, rhohat.lppm The argument 'subset' was not handled correctly in the internal data. The estimated function 'rho' was correct but the results of 'predict.rhohat' may have been incorrect and were computed only on the 'subset'. Fixed.
plot.lpp Did not display the main title in some cases. Fixed.
"[.lpp", "[.linnet" Ignored marks attached to the network segments. Fixed.
"[.lpp", "[.linnet" Crashed if the network vertices had marks, when 'snip=TRUE'. Fixed.
densityQuick.lpp Crashed sometimes with a message about unequal lengths of vectors. Fixed.

spatstat.linnet 2.3-2 (2022-02-16)

OVERVIEW

'spatstat.linnet' now depends on 'spatstat.random'.

SIGNIFICANT USER-VISIBLE CHANGES

package dependence 'spatstat.linnet' now depends on the new package 'spatstat.random'.

spatstat.linnet 2.3-1 (2021-12-11)

OVERVIEW

More control over resolution of 'linim' objects.
Improved documentation.
Minor improvements and bug fixes.

SIGNIFICANT USER-VISIBLE CHANGES

as.linim.default, as.linim.linfun New argument 'nd'
integral.linfun New argument 'nd'
rjitterlpp, rjitter.lpp The function 'rjitterlpp' has been renamed 'rjitter.lpp' and is now a method for the generic 'rjitter'.
rjitterlpp This function still exists, but is now deprecated in favour of 'rjitter.lpp'.

BUG FIXES

rjitterlpp The argument 'radius' was interpreted as a fraction of segment length rather than an absolute distance. Fixed.

spatstat.linnet 2.3-0 (2021-07-17)

OVERVIEW

We thank Suman Rakshit, Greg McSwiggan and Marc Schneble for contributions.
Sufficient Dimension Reduction on a linear network.
Perspective-view plots of linfun and linim objects.
Bug fix to Math.linim
Minor additions.

NEW FUNCTIONS

sdr.lpp Sufficient Dimension Reduction on a linear network. [Contributed by Suman Rakshit.]
persp.linfun, persp.linim Perspective-view plots of functions on a linear network (class linim) and images on a linear network (class linfun). [Written by Adrian Baddeley and Greg McSwiggan.]

SIGNIFICANT USER-VISIBLE CHANGES

response.lppm Method for 'response' for fitted point process models on a network.

BUG FIXES

Math.linim If 'Z' was a pixel image on a network (class 'linim') and 'v' was a single number, then 'Z/v' was a pixel image (class 'im') instead of a pixel image on a network (class 'linim'). [Spotted by Marc Schneble.] Fixed.
bw.voronoi Printed output stated that the cross-validation criterion was minimised instead of maximised.

spatstat.linnet 2.2-1 (2021-06-22)

OVERVIEW

Minor changes to satisfy CRAN.

spatstat.linnet 2.2-0

OVERVIEW

Extensions to rhohat.lpp and rhohat.lppm.
Internal bug fixes.

SIGNIFICANT USER-VISIBLE CHANGES

rhohat.lpp, rhohat.lppm New option (smoother='piecewise') computes a piecewise-constant estimate of rho(z).
rhohat.lpp, rhohat.lppm The result now includes the 'average' intensity rho.

spatstat.linnet 2.1-1 (2021-03-28)

OVERVIEW

Tweak to satisfy the package checker.

spatstat.linnet 2.1-0

OVERVIEW

We thank Andrea Gilardi for contributions.
Bug fix in density.lpp
Improvement to densityEqualSplit
New function for jittering point patterns on a network.
Function renamed.

NEW FUNCTIONS

rjitterlpp Apply random displacements to the points on a linear network.
densityHeat.lpp Diffusion kernel estimation of intensity on a linear network. (formerly known as 'densityHeatlpp' and 'densityHeat', this is now a method for the new generic 'densityHeat')

SIGNIFICANT USER-VISIBLE CHANGES

densityEqualSplit New arguments 'at' and 'leaveoneout' for consistency with other functions.
densityHeat The function formerly known as 'densityHeat' or 'densityHeatlpp' is now renamed 'densityHeat.lpp' and is a method for the generic 'densityHeat'.
density.lpp Accelerated when the pattern contains duplicated points.

BUG FIXES

density.lpp The result had the wrong length if 'x' contained duplicated points when 'weights' were given and 'at="points"'. [Spotted by Andrea Gilardi] Fixed.

spatstat.linnet 2.0-0 (2021-03-18)

OVERVIEW

We thank Andrea Gilardi for contributions.
Function renamed.
Bug fix in density.lpp

SIGNIFICANT USER-VISIBLE CHANGES

densityHeat 'densityHeat' has been temporarily renamed 'densityHeatlpp', to prevent errors in the package checking process.
[.linim Accelerated.

BUG FIXES

deviance.lppm, pseudoR2.lppm Results were completely incorrect, due to a coding error. Fixed.
density.lpp Crashed if 'weights' were given and 'x' contained duplicated points. [Spotted by Andrea Gilardi] Fixed.
Lcross.inhom, Kcross.inhom, Kmulti.inhom The option 'correction="none"' was accepted but ignored. [Spotted by Corey Anderson.] Fixed.
simulate.rhohat Crashed when applied to rhohat objects computed from data on a linear network. Fixed.

spatstat.linnet 1.65-9

OVERVIEW

Minor internal changes.

spatstat.linnet 1.65-8

OVERVIEW

Function renamed.

SIGNIFICANT USER-VISIBLE CHANGES

densityHeat 'densityHeat' has been renamed 'densityHeat.lpp'.

spatstat.linnet 1.65-7

OVERVIEW

Tweaks to satisfy CRAN.

spatstat.linnet 1.65-1

OVERVIEW

Added NEWS file.

spatstat.linnet 1.65-0

OVERVIEW

Package initialised at version 1.65-0

SIGNIFICANT USER-VISIBLE CHANGES

spatstat.linnet The package 'spatstat.linnet' has been created from a subset of the code in the original 'spatstat' package version 1.65-0. It contains the functionality for statistical analysis of spatial data on a linear network. For an overview, see help("spatstat.linnet-package")
Execution The 'spatstat.linnet' package is slightly faster than the corresponding code in the 'spatstat' package, because the procedure for calling internal C functions has been streamlined.