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; #80use 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 vgm
Makevars
, remove configure
ai-geostats.org
fit.StVariogram
example in dontrun