variogram() supports stars (raster)
objects, benefiting from them being griddedimport sftime; modify krigeST()
variogram functions to accept sftime objects for
data (as alternative to STI or
STIDF), and stars or sftime
objects for newdata; #108 with great help from @henningte
fix Gaussian cosimulation, probably introduced in 2016, #106
NA as estimate when prediction/simulation fails;
#80object 'ret' not found bug introduced by #63; #65
#66 #70use multiple cores in variogramST, using pkg future;
#63 by @sigmafelix
fix bug with conditional simulation using stars
target grid and nsim=1, #58
fix bug in support for sf objects; #46
fix krigeTg for the case when data or newdata are of
class sf or sfc; #51
try to fix CRS issue found on OSX
check for temporal unit in krigeST opposed to covariance function
and assign the temporal unit found in krigeST to the spatio-temporal
variogram for consistency in case none has been provided by the model;
add warning when ST variogram doesn’t have a temporal unit
attribute; #42
add plot.variogramModel; #40
support sf and stars objects, for
vector and raster data, respectively; #39
memcpy for overlapping regions error, found in
valgrind checks by Brian Ripleyfit.variogram to choose initial values for
range, sill and nugget before fitting, and fit over a range of model
typesNA values in vgmMakevars, remove configureai-geostats.orgfit.StVariogram example in
dontrun
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