chore: bump version to 0.3.1 (#80)

* chore: bump version to 0.3.1

* chore: update wordlist

* chore: update date

* fix: links

Author: be-marc

.Rbuildignore

@@ -22,3 +22,4 @@ cran-comments\.md
 ^README\.Rmd$
 ^README\.html$
 .vscode
+^cran-comments\.md$

.gitignore

@@ -109,3 +109,4 @@ cran-comments\.md
 CRAN-RELEASE
 .vscode
 README\.html
+CRAN-SUBMISSION

CRAN-SUBMISSION

@@ -1,3 +1,3 @@
-Version: 0.3.0
-Date: 2022-10-20 15:31:34 UTC
-SHA: 81754112d5abe1805625e779db81e976cb5cce92
+Version: 0.3.1
+Date: 2022-12-16 11:13:37 UTC
+SHA: 73c9cfb539655ba35e9ac21c1ea78e1f0a5a4c37

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: mlr3spatial
 Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
-Version: 0.3.0.9000
-Date: 2022-10-20
+Version: 0.3.1
+Date: 2022-12-16
 Authors@R:
     c(
      person("Marc", "Becker", , "[email protected]", role = c("aut", "cre"),

NEWS.md

@@ -1,12 +1,14 @@
-# mlr3spatial 0.3.0.9000
+# mlr3spatial 0.3.1
+
+* chore: Remove `rgdal` dependency and require `raster` version 3.6-11.
 
 # mlr3spatial 0.3.0
 
-* feat: add prediction on vector data to `spatial_predict()`.
+* feat: Add prediction on vector data to `spatial_predict()`.
 
 # mlr3spatial 0.2.1
 
-* fix: add `"space"` and `"time"` column role from mlr3spatiotempcv
+* fix: Add `"space"` and `"time"` column role from mlr3spatiotempcv
 
 # mlr3spatial 0.2.0
 
@@ -29,11 +31,11 @@
 
 # mlr3spatial 0.1.2
 
-* refactor: stars objects are directly converted to terra objects now.
+* refactor: Stars objects are directly converted to terra objects now.
 
 # mlr3spatial 0.1.1
 
-* fix: compatibility to terra update.
+* fix: Compatibility to terra update.
 
 # mlr3spatial 0.1.0
 

README.Rmd

@@ -29,7 +29,7 @@ Package website: [release](https://mlr3spatial.mlr-org.com/) | [dev](https://mlr
 [![Mattermost](https://img.shields.io/badge/chat-mattermost-orange.svg)](https://lmmisld-lmu-stats-slds.srv.mwn.de/mlr_invite/)
 <!-- badges: end -->
 
-*mlr3spatial* is the package for spatial objects within the [mlr3](https://mlr3.mlr-org.com) ecosystem.
+*mlr3spatial* is the package for spatial objects within the [mlr3](https://mlr-org.com) ecosystem.
 The package directly loads data from [sf](https://CRAN.R-project.org/package=sf) objects to train any mlr3 learner.
 The learner can predict on various raster formats ([terra](https://CRAN.R-project.org/package=terra), [raster](https://CRAN.R-project.org/package=raster) and [stars](https://CRAN.R-project.org/package=stars)) and writes the prediction raster to disk.
 mlr3spatial reads large raster objects in chunks to avoid memory issues and predicts the chunks in parallel.

README.md

@@ -14,9 +14,9 @@ status](https://www.r-pkg.org/badges/version/mlr3spatial)](https://CRAN.R-projec
 <!-- badges: end -->
 
 *mlr3spatial* is the package for spatial objects within the
-[mlr3](https://mlr3.mlr-org.com) ecosystem. The package directly loads
-data from [sf](https://CRAN.R-project.org/package=sf) objects to train
-any mlr3 learner. The learner can predict on various raster formats
+[mlr3](https://mlr-org.com) ecosystem. The package directly loads data
+from [sf](https://CRAN.R-project.org/package=sf) objects to train any
+mlr3 learner. The learner can predict on various raster formats
 ([terra](https://CRAN.R-project.org/package=terra),
 [raster](https://CRAN.R-project.org/package=raster) and
 [stars](https://CRAN.R-project.org/package=stars)) and writes the

inst/WORDLIST

@@ -1,10 +1,11 @@
 DataBackend
 DataBackendDataTable
-DataBackendRaster
+DataBackendVector
 EPSG
 GeoPackage
 GeoTIFF
 Hyperband
+MacBook
 Mattermost
 NDVI
 ORCID
@@ -17,15 +18,19 @@ TaskClassif
 TaskClassifST
 TaskRegr
 TaskRegrST
+TaskUnsupervised
 WKT
 chunksize
 cloneable
+cmd
 dev
 github
 https
 mlr
 parallelization
 rasters
+sfc
+socker
 spatiotempcv
 spatiotemporal
 subparts