RELEASE NOTES
spatstat 1.560
15 June 2018
We thank Sebastian Meyer and Suman Rakshit for contributions.
OVERVIEW

Kernel estimate of intensity as a function(x,y)

Extract discrete and continuous components of a measure.

Improvements and extensions to leverage and influence code.

Plot a line segment pattern using line widths.

Find connected components of each tile in a tessellation.

Geometrical operations on ‘distfun’ objects.

Join vertices in a linear network.

Distance map and contact distribution for rectangular structuring element.

An infinite number of infinitesimal bugs has been detected and fixed.

Version nickname: “Bondi Tram”
NEW FUNCTIONS

densityfun, densityfun.ppp
Compute a kernel estimate of intensity of a point pattern
and return it as a function of spatial location. 
as.im.densityfun
Convert function(x,y) to a pixel image. 
measureDiscrete, measureContinuous
Extract the discrete and continuous components of a measure. 
connected.tess
Find connected components of each tile in a tessellation
and make a new tessellation composed of these pieces. 
dffit.ppm
Effect change diagnostic DFFIT for spatial point process models. 
shift.distfun, rotate.distfun, reflect.distfun, flipxy.distfun,
affine.distfun, scalardilate.distfun
Methods for geometrical operations on ‘distfun’ objects. 
rescale.distfun
Change the unit of length in a ‘distfun’ object. 
plot.indicfun
Plot method for indicator functions created by as.function.owin. 
Smooth.leverage.ppm, Smooth.influence.ppm
Smooth a leverage function or an influence measure. 
integral.leverage.ppm, integral.influence.ppm
Compute the integral of a leverage function or an influence measure. 
mean.leverage.ppm
Compute the mean value of a leverage function. 
rectdistmap
Distance map using rectangular metric. 
rectcontact
Contact distribution function using rectangular structuring element. 
joinVertices
Join specified vertices in a linear network.
SIGNIFICANT USERVISIBLE CHANGES

plot.psp
Segments can be plotted with widths proportional to their mark values.
New argument ‘style’. 
msr
Infinite and NA values are now detected (if check=TRUE)
and are reset to zero, with a warning. 
leverage.ppm, influence.ppm, dfbetas.ppm
Faster computation in some cases. 
as.im.nnfun, as.im.smoothfun
New argument ‘approx’ chooses between a fast, approximate algorithm
and a slow, exact algorithm. 
cdf.test
More jittering is applied when jitter=TRUE.
Warnings about tied values should not occur any more. 
plot.im
Improved behaviour when all pixel values are NA. 
plot.tess
Now generates a separate plot panel for each column of marks,
if do.col=TRUE.
New argument ‘multiplot’. 
pcfinhom
Now handles correction=’good’ 
solist
New argument ‘.NameBase’ 
runifpointOnLines, rpoisppOnLines
New argument ‘drop’ 
plot.studpermutest
This existing function now has a help file. 
linnet
When argument ‘edges’ is specified, the code now checks whether
any edges are duplicated.
BUG FIXES

kernel.moment
Result was incorrect for kernel=”cosine” and kernel=”optcosine”.
Fixed. 
”[.msr”
Format was mangled if the subset contained exactly one quadrature point.
Fixed. 
tess
If a list of tiles was given, and the tiles were pixel images or masks,
their pixel resolutions were ignored, and reset to the default 128x128.
Fixed. 
plot.linim
Ignored argument ‘legend’ when style=”colour”.
[Spotted by Suman Rakshit.]
Fixed. 
leverage.ppm, influence.ppm, dfbetas.ppm
Crashed sometimes if the model was fitted by method=”logi”.
Fixed. 
Smooth.ppp
Crashed with some combinations of the arguments varcov and weights
when X had several columns of marks.
Fixed. 
plot.tess
Crashed sometimes when do.col=TRUE and values=NULL.
Fixed. 
dilation.ppp
Crashed if polygonal=FALSE. 
plot.tess
Ignored the marks of a tessellation defined by a pixel image.
Fixed. 
predict.ppm
Crashed when computing a confidence interval or prediction interval
if ‘window’ was a tessellation.
Fixed. 
tiles
names(tiles(x)) was not always identical to tilenames(x).
Fixed. 
model.images.lppm
Crashed in many cases.
Fixed. 
model.images.lppm
Names or dimnames were missing in some cases.
Fixed. 
nncross.ppp
Result had the wrong format if npoints(X) = 0 and length(what) = 1.
(Spotted by Sebastian Meyer).
Fixed. 
plot.colourmap
Crashed if the colourmap was defined on an interval of dates or times.
Fixed. 
StraussHard, leverage.ppm, influence.ppm, dfbetas.ppm
Leverage and influence calculations generated an error
when applied to models fitted with the StraussHard interaction.
Fixed. 
”[.ppp”
Crashed if there were several columns of marks,
some of which were factors, and drop=TRUE.
Fixed.
Release notes are available in raw text format here.