chore: bump version to 0.2.0 (#64)

* chore: bump version to 0.2.0

* chore: update wordlist

* fix: remove remotes

* chore: update codemeta

Author: be-marc

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: mlr3spatial
 Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
-Version: 0.1.2.9000
-Date: 2022-05-30
+Version: 0.2.0
+Date: 2022-08-18
 Authors@R:
     c(person(given = "Marc",
              family = "Becker",
@@ -21,7 +21,7 @@ URL: https://mlr3spatial.mlr-org.com,
     https://github.com/mlr-org/mlr3spatial
 BugReports: https://github.com/mlr-org/mlr3spatial/issues
 Depends:
-    mlr3 (>= 0.13.4-9000),
+    mlr3 (>= 0.14.0),
     R (>= 3.1.0)
 Imports:
     checkmate (>= 2.0.0),
@@ -47,8 +47,6 @@ Suggests:
     rpart,
     stars (>= 0.5-5),
     testthat (>= 3.0.0)
-Remotes:
-    mlr-org/mlr3
 Config/testthat/edition: 3
 Config/testthat/parallel: false
 Encoding: UTF-8

NEWS.md

@@ -1,8 +1,10 @@
-# mlr3spatial 0.1.2.9000
+# mlr3spatial 0.2.0
 
 * BREAKING CHANGE: `TaskClassifST` and `TaskRegrST` are used to train a learner with spatial data.
+  The new tasks unify the work with mlr3spatiotempcv.
 * BREAKING CHANGE: Raster objects cannot be used to create tasks for training anymore.
-* BREAKING CHANGE: `TaskUnsupervised` is used to predict rasters now.
+* BREAKING CHANGE: `TaskUnsupervised` is used to predict on rasters objects now.
+  The new task type is more convenient for data without a response.
 * feat: Add `as_task_regr_st()` and `as_task_classif_st()` from spatial objects.
 * feat: Add `as_task_unsupervised()` from raster objects.
 * feat: Task `leipzig` with land cover target.

codemeta.json

@@ -4,17 +4,17 @@
   "identifier": "mlr3spatial",
   "description": "Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.",
   "name": "mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem",
-  "relatedLink": "https://mlr3spatial.mlr-org.com",
+  "relatedLink": ["https://mlr3spatial.mlr-org.com", "https://CRAN.R-project.org/package=mlr3spatial"],
   "codeRepository": "https://github.com/mlr-org/mlr3spatial",
   "issueTracker": "https://github.com/mlr-org/mlr3spatial/issues",
   "license": "https://spdx.org/licenses/LGPL-3.0",
-  "version": "0.1.2",
+  "version": "0.2.0",
   "programmingLanguage": {
     "@type": "ComputerLanguage",
     "name": "R",
     "url": "https://r-project.org"
   },
-  "runtimePlatform": "R version 4.2.0 (2022-04-22)",
+  "runtimePlatform": "R version 4.1.2 (2021-11-01)",
   "provider": {
     "@id": "https://cran.r-project.org",
     "@type": "Organization",
@@ -59,18 +59,6 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=bench"
     },
-    {
-      "@type": "SoftwareApplication",
-      "identifier": "e1071",
-      "name": "e1071",
-      "provider": {
-        "@id": "https://cran.r-project.org",
-        "@type": "Organization",
-        "name": "Comprehensive R Archive Network (CRAN)",
-        "url": "https://cran.r-project.org"
-      },
-      "sameAs": "https://CRAN.R-project.org/package=e1071"
-    },
     {
       "@type": "SoftwareApplication",
       "identifier": "future",
@@ -120,18 +108,6 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=mlr3learners"
     },
-    {
-      "@type": "SoftwareApplication",
-      "identifier": "mlr3tuning",
-      "name": "mlr3tuning",
-      "provider": {
-        "@id": "https://cran.r-project.org",
-        "@type": "Organization",
-        "name": "Comprehensive R Archive Network (CRAN)",
-        "url": "https://cran.r-project.org"
-      },
-      "sameAs": "https://CRAN.R-project.org/package=mlr3tuning"
-    },
     {
       "@type": "SoftwareApplication",
       "identifier": "paradox",
@@ -204,18 +180,6 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=rpart"
     },
-    {
-      "@type": "SoftwareApplication",
-      "identifier": "sf",
-      "name": "sf",
-      "provider": {
-        "@id": "https://cran.r-project.org",
-        "@type": "Organization",
-        "name": "Comprehensive R Archive Network (CRAN)",
-        "url": "https://cran.r-project.org"
-      },
-      "sameAs": "https://CRAN.R-project.org/package=sf"
-    },
     {
       "@type": "SoftwareApplication",
       "identifier": "stars",
@@ -248,7 +212,7 @@
       "@type": "SoftwareApplication",
       "identifier": "mlr3",
       "name": "mlr3",
-      "version": ">= 0.12.0",
+      "version": ">= 0.14.0",
       "provider": {
         "@id": "https://cran.r-project.org",
         "@type": "Organization",
@@ -333,10 +297,22 @@
       "sameAs": "https://CRAN.R-project.org/package=R6"
     },
     "9": {
+      "@type": "SoftwareApplication",
+      "identifier": "sf",
+      "name": "sf",
+      "provider": {
+        "@id": "https://cran.r-project.org",
+        "@type": "Organization",
+        "name": "Comprehensive R Archive Network (CRAN)",
+        "url": "https://cran.r-project.org"
+      },
+      "sameAs": "https://CRAN.R-project.org/package=sf"
+    },
+    "10": {
       "@type": "SoftwareApplication",
       "identifier": "terra",
       "name": "terra",
-      "version": ">= 1.5-21",
+      "version": ">= 1.6-3",
       "provider": {
         "@id": "https://cran.r-project.org",
         "@type": "Organization",
@@ -345,12 +321,16 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=terra"
     },
-    "10": {
+    "11": {
       "@type": "SoftwareApplication",
       "identifier": "utils",
       "name": "utils"
     },
     "SystemRequirements": null
   },
-  "fileSize": "170.528KB"
+  "fileSize": "1284.039KB",
+  "releaseNotes": "https://github.com/mlr-org/mlr3spatial/blob/master/NEWS.md",
+  "readme": "https://github.com/mlr-org/mlr3spatial/blob/main/README.md",
+  "contIntegration": "https://github.com/mlr-org/mlr3spatial/actions",
+  "keywords": ["raster-prediction", "spatial", "spatial-modelling", "r", "r-package", "mlr3"]
 }

inst/WORDLIST

@@ -1,30 +1,33 @@
-Benchmarking
-CodeFactor
-DDR
 DataBackend
+DataBackendDataTable
 DataBackendRaster
-DataBackendVector
+EPSG
+GeoPackage
+GeoTIFF
 Hyperband
-Lifecycle
-MacBook
-Mio
-NG
+Mattermost
+NDVI
 ORCID
 OpenML
 Parallelization
 SpatRaster
 Spatiotemporal
+StackOverflow
+TaskClassif
+TaskClassifST
+TaskRegr
+TaskRegrST
+WKT
 chunksize
-equi
+cloneable
+dev
 github
 https
 mlr
 parallelization
-parallelizing
+rasters
 spatiotempcv
 spatiotemporal
 subparts
 terra
 tracebacks
-viridis
-xy