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Smooth.wmppp() smooths wmppp’s to map individual values
of functions such as \(M\) in the
neighborhood of points.Dhat() code modified according to
spatstat.explore v.3.2-1 new features (thanks to Prof. Adrian
Baddeley).kwmppp() creates a kriged, weighted, marked, planar
point pattern to map individual distance-based statistics.plot.kwmppp() (called as plot()) allows
plotting kwmppp objects.verbose in all envelope functions allows to
hide the progress of simulations.Ktest() automatically drops 0 in r to
avoid an obscure error message.aes_(x=~var) aesthetics in ggplots replaced
by aes(x=.data$var).mhat() code is modified by Martin Maechler.dbmss:: prefix and CheckArguments = TRUE and
dbmss was loaded.fmla argument added in
autoplot.envelope().autoplot.fv() added.autoplot.wmppp() added.main in autoplot() was
ignored.wmppp().rRandomPositionK().autoplot() failed with Lenvelope
objects.autoplot() for envelope objects.Kd and
m estimation. An article is added in the online
documentation.Kdhat() density was normalized incorrectly with
Approximate=TRUE and small r values.init.c no longer
necessary.wmppp() accepts characters in PointType. A
PointName column is searched to set the row names of the
marks.wmppp() failed if some point laid outside the
window.Mhat and
mhat with argument Individual.wmppp(). They are preserved in the fv object
returned by individual Mhat and mhat to
identify points more easily.[.wmppp function added to spatstat
genericsexportPattern("^[[:alpha:]]+").adaptIntegrate().Mhat, mhat and Kdhat and their
envelopes.Kd now includes
reflection: the estimation of Kd is more accurate than
before, but values may vary from previous versions close to the minimum
distance.Kdhat (bug introduced
in v.2.2-4). Fixed.Mhat and mhat C++ code is now parallelized
thanks to RcppParallel.Kdhat (around 5%
faster).r
where ignored when using the approximate estimation of Kd,
so Kd was overestimated when r was smaller
than usual (much less than the default values). Corrected.Kdhat. Fixed.m function added.Controls=NULL for Dhat:
controls are by default all points except for cases.Kd and m are both computed by default up
to one third of the diameter of the window, other options are
added.Original and Adjust arguments allow to
change the default bandwith used by Kd and
m.FillEnveloppe corrected:
FillEnvelope is the new name.Khat and
Kenvelope is the same as reference type instead of ““.Kd estimation now accepts “” as reference type to use
all points.Kd on big data sets
with little RAM.FillEnvelope returned wrong quantiles for local
confidence intervals. Fixed.NA values are found in the simulations.Kd is computed by default up to the median (instead of
mean) distance between points.Kdhat with Reference and Neighbor points of different
types was calculated with only half of point pairs and sometimes crashed
R. Fixed.Kdhat and M are computed through C++ loops
instead of spatstat pairdist(). Much faster, and uses far
less memory.Kdhat and M propose a default value for
argument r.Kdhat probability density estimation is cut at the
lowest distance between points instead of 0.Kdhat with Reference and Neighbor points of the same
type and Weighted=TRUE returned an error. Fixed.X.r became Xhat.wmppp.fv, envelopes of class
envelope.Kd is that of Duranton and
Overman (2005). An optional parameter is added to used improved bandwith
selection.Kd was run twice. Fixed.Kinhom function added.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.