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X
and Y
columns
are present in an sf objectterra::inMemory()
function instead of
@ptr
.spatial_predict()
accepts
SpatRaster
, stars
sf
RasterStack
and RasterBrick
objects now. A
mlr3::TaskUnsupervised
can still be passed but the argument
name changed from task
to newdata
.rgdal
dependency and require
raster
version 3.6-11.spatial_predict()
."space"
and "time"
column role
from mlr3spatiotempcvTaskClassifST
and
TaskRegrST
are used to train a learner with spatial data.
The new tasks unify the work with mlr3spatiotempcv.TaskUnsupervised
is used to predict on
rasters objects now. The new task type is more convenient for data
without a response.as_task_regr_st()
and
as_task_classif_st()
from spatial objects.as_task_unsupervised()
from raster
objects.leipzig
with land cover target.data("leipzig")
loads an sf
object
with land cover in Leipzig.extdata
folder.DataBackendDataTable
now and DataBackendVector
is removed.DataBackendRaster
cannot be created
from RasterLayer
objects anymore.spatial_predict()
returned an unnamed
response.spatial_predict()
wrote predictions to the wrong
cell.demo_raster()
,
demo_stack_spatraster()
,
demo_stack_rasterbrick()
and
demo_rasterbrick()
functions.NA
at raster cells with
NA
values in one or more feature layers.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.