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terra::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.