- (2023-04-13) batch of hidden methods exported to the namespace
(mostly for
`as.*()`

functions converting between different representations of empirical variograms and of geostatistical models) - (2023-04-04) C routines called as symbols and not name strings; non-ASCII characters removed

- (2022-11-22) flag ‘-lstdc++’ removed from makevars.
- (2022-11-15) minor bugs in accuracy calculations corrected. References improved.
- (2022-08-15) bug in turning bands for spherical variogram corrected.

- (2022-05-03) minor changes to adapt to more stringent standards for class determination, for variable definition in C code, and for calls to FORTRAN routines from C code involving string arguments.

- (2021-12-14) bugs in turning bands corrected: getUnitVec was producing a wrong sequence of directions, and bands for exponential and Gaussian variograms did not correct for the difference between parametric and effective range in the right way;
- (2021-12-08) anisotropy objects complete, restructured and
everywhere correctly used: if
`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) - (2021-12-08) bugs corrected in
`gsi.EVario3D()`

- (2021-11-05) bugs corrected in internal 2D empirical variogram
function
`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.

- (2021-10-20) section on the vignette “register_new_layer_datatype.Rmd” about the definition and registration of empirical covariance for circular data.

- (2021-10-17) dependence from randomFields eliminated
- (2021-10-17) consolidated management of
`predict()`

methods for S3 and S4 objects, with the help of the internal function`Predict()`

(not recommended to use)

- (2021-09-30) minor bug corrected on the way fit_lmc passes its arguments to surrogate gstat and gmGeostats functions
- (2021-10-01) management of
`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

- (2021-07-22) conversion methods between variogram models:
`as.gmCgram()`

methods for “variogramModel” and “variogramModelList” objects (from package “gstat”)

- (2021-07-15) documented abstract union classes, specifying required methods for the member classes

(release of polished 0.10.7.900x dev versions)

- new vignette “How to register new layer datatypes”, with a howto adapt gmGeostats to deal with your very special data type (with an example for regionalized circular data)
- (2021-07-06) new option to extract univariate accuracy() from multivariate kriging results
- NEWS.md and vignettes/gmGeostats.Rmd polished
- “predict”-methods for objects of class gmSpatialModel now programmed with multiple dispatching, to enable further extensions

- (2021-06-30) bugs in xvErrorMeasures() for simulated data corrected
- (2021-06-30) bugs in accuracy() and precision() corrected

- (2021-06-29) bugs in accuracy() and precision() corrected
- (2021-06-23) bug in validate.NfoldCrossValidation() corrected

- (2021-04-08) exported turning bands for direct usage
- (2020-10-01) bug in turning bands spherical variogram corrected

- (2020-09-27) updated references in generalised diagonalisations;
improved/reimplemented
`as.logratioVariogram()`

and`as.logratioVariogramAnisotropy()`

methods; minor edits at`plot.logratioVariogramAnisotropy()`

and`variogramModelPlot.logratioVariogram()`

- (2020-09-24) openMP pragmas enclosed, to improve portability
- (2020-09-18) conversion of variogram models of class CompLinModCoReg -> LMCAnisCompo -> variogramModel(List)
- (2020-09-18)
`gsi.gstatCokriging2compo()`

and`gsi.gstatCokriging2rmult()`

now work with systems of 3 components resp. 2 variables (systems of 2 components or 1 variable still fail)

- (2020-09-17) we are in CRAN! https://cran.r-project.org/web/packages/gmGeostats/