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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.
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