Spatstat

analysing spatial point patterns

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RELEASE NOTES

spatstat 1.56-0

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 USER-VISIBLE 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

1. kernel.moment
   Result was incorrect for kernel=”cosine” and kernel=”optcosine”.
   Fixed.

2. ”[.msr”
   Format was mangled if the subset contained exactly one quadrature point.
   Fixed.

3. 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.

4. plot.linim
   Ignored argument ‘legend’ when style=”colour”.
   [Spotted by Suman Rakshit.]
   Fixed.

5. leverage.ppm, influence.ppm, dfbetas.ppm
   Crashed sometimes if the model was fitted by method=”logi”.
   Fixed.

6. Smooth.ppp
   Crashed with some combinations of the arguments varcov and weights
   when X had several columns of marks.
   Fixed.

7. plot.tess
   Crashed sometimes when do.col=TRUE and values=NULL.
   Fixed.

8. dilation.ppp
   Crashed if polygonal=FALSE.

9. plot.tess
   Ignored the marks of a tessellation defined by a pixel image.
   Fixed.

10. predict.ppm
    Crashed when computing a confidence interval or prediction interval
    if ‘window’ was a tessellation.
    Fixed.

11. tiles
    names(tiles(x)) was not always identical to tilenames(x).
    Fixed.

12. model.images.lppm
    Crashed in many cases.
    Fixed.

13. model.images.lppm
    Names or dimnames were missing in some cases.
    Fixed.

14. nncross.ppp
    Result had the wrong format if npoints(X) = 0 and length(what) = 1.
    (Spotted by Sebastian Meyer).
    Fixed.

15. plot.colourmap
    Crashed if the colourmap was defined on an interval of dates or times.
    Fixed.

16. StraussHard, leverage.ppm, influence.ppm, dfbetas.ppm
    Leverage and influence calculations generated an error
    when applied to models fitted with the StraussHard interaction.
    Fixed.

17. ”[.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.