Nothing
as.*()
functions converting between different representations of empirical variograms and of geostatistical models)class(A)=="AnisotropyScaling"
and class(M)=="AnisotropyRangeMatrix"
(the two possible classes), then A %*% t(A) == solve(M)
; with them, u = sqrt(h %*% solve(M, h))
can be used in a scalar variogram (i.e. M
is a matrix of ranges and orientations), and v = t(A) %*% h
an isotropic variogram (i.e. u=sqrt(sum(v^2))
, and A
is a scaling matrix that makes the space isotropic)gsi.EVario3D()
gsi.EVario2D()
. First version of 3D internal variogram function gsi.EVario3D()
available. Usage of these functions is only for specialists foreseen. In the near future a user-friendlier wrapper will be provided.predict()
methods for S3 and S4 objects, with the help of the internal function Predict()
(not recommended to use)predict()
methods for S3 and S4 objects, with the help of the internal function Predict()
(not recommended to use)(release of polished 0.10.8.900x dev versions) * minor correction on C source code for compatibility with clang13
as.gmCgram()
methods for "variogramModel" and "variogramModelList" objects (from package "gstat")(release of polished 0.10.7.900x dev versions)
as.logratioVariogram()
and as.logratioVariogramAnisotropy()
methods; minor edits at plot.logratioVariogramAnisotropy()
and variogramModelPlot.logratioVariogram()
gsi.gstatCokriging2compo()
and gsi.gstatCokriging2rmult()
now work with systems of 3 components resp. 2 variables (systems of 2 components or 1 variable still fail)Any scripts or data that you put into this service are public.
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