Last updated on 2026-09-13 02:52:22 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0.0 | 8.33 | 108.58 | 116.91 | OK | |
| r-devel-linux-x86_64-debian-gcc | 2.0.0 | 8.72 | 189.47 | 198.19 | OK | |
| r-devel-linux-x86_64-fedora-clang | 2.0.0 | 9.00 | 5494.11 | 5503.11 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 2.0.0 | 9.00 | 5486.40 | 5495.40 | ERROR | |
| r-devel-windows-x86_64 | 1.0.0 | 10.00 | 129.00 | 139.00 | OK | |
| r-patched-linux-x86_64 | 1.0.0 | 8.37 | 101.34 | 109.71 | OK | |
| r-release-linux-x86_64 | 2.0.0 | 14.16 | 253.31 | 267.47 | OK | |
| r-release-macos-arm64 | 1.0.0 | 2.00 | 33.00 | 35.00 | OK | |
| r-release-macos-x86_64 | 2.0.0 | 9.00 | 255.00 | 264.00 | OK | |
| r-release-windows-x86_64 | 1.0.0 | 10.00 | 124.00 | 134.00 | OK | |
| r-oldrel-macos-arm64 | 2.0.0 | 3.00 | 77.00 | 80.00 | OK | |
| r-oldrel-macos-x86_64 | 2.0.0 | 9.00 | 279.00 | 288.00 | OK | |
| r-oldrel-windows-x86_64 | 2.0.0 | 18.00 | 317.00 | 335.00 | OK |
Version: 2.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [90m/46m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(spatialkit)
>
> test_check("spatialkit")
WARN [2026-09-11 13:08:25] area_of_applicability(): dropping predictor(s) with no variance in the training data: const. A prediction point taking a different value there is extrapolation the dissimilarity index cannot represent.
WARN [2026-09-11 13:08:25] area_of_applicability(): dropping 1 training row(s) with missing or non-finite predictor values.
WARN [2026-09-11 13:08:26] fit_rf_model(): include_coords = TRUE. A forest given the coordinates can reproduce the training surface by memorising location and then fail wherever it has not been; random cross-validation will not detect this. Score the result with cv_rf() and blocked folds, not with the out-of-bag error (Meyer et al. 2019).
WARN [2026-09-11 13:08:27] fit_rf_model(): include_coords = TRUE. A forest given the coordinates can reproduce the training surface by memorising location and then fail wherever it has not been; random cross-validation will not detect this. Score the result with cv_rf() and blocked folds, not with the out-of-bag error (Meyer et al. 2019).
WARN [2026-09-11 13:08:28] prep_model_data(): dropping 1 row(s) with non-finite or missing values (1 of them with an empty or non-finite geometry).
WARN [2026-09-11 13:08:28] prep_model_data(): dropping 1 row(s) with non-finite or missing values (1 of them with an empty or non-finite geometry).
WARN [2026-09-11 13:08:28] .pick_local_projected_crs(): extent reaches 11.0 deg from the central meridian of UTM zone 19 (20.0 deg of longitude in total); the zone is kept, because on this extent every equal-area candidate distorts distances more than it does (6.75% vs 1.30% worst-case over sampled pairs). Pass target_crs to ensure_projected() to override.
WARN [2026-09-11 13:08:28] .pick_local_projected_crs(): the bounding box spans 359.0 deg of longitude, but the coordinates straddle the antimeridian: the true extent is 1.0 deg. Using an equal-area projection centred on lon_0=-180.0. (EPSG:3857 would have split the layer in two.)
WARN [2026-09-11 13:08:28] spatialkit(): `input` has no CRS; its coordinates look like lon/lat (xmin=9.10, xmax=9.20, ymin=48.70, ymax=48.75), so they are taken as EPSG:4326 and reprojected to the target CRS. Set the CRS explicitly with sf::st_crs() to suppress this.
WARN [2026-09-11 13:08:28] ensure_projected(): input has no CRS; its coordinates look like lon/lat (xmin=9.10, xmax=9.20, ymin=48.70, ymax=48.75), so they are taken as EPSG:4326 and reprojected to the target CRS ('EPSG:32632'). Set the CRS explicitly to suppress this.
WARN [2026-09-11 13:08:28] spatialkit(): `input` has no CRS and its coordinates do not look like lon/lat, so it cannot be reprojected; stamping the supplied `crs` WITHOUT reprojection. Verify the coordinates are already expressed in that CRS, or set the input CRS with sf::st_crs().
WARN [2026-09-11 13:08:28] harmonize_crs(): `a` has no CRS; its coordinates look like lon/lat (xmin=9.10, xmax=9.15, ymin=48.70, ymax=48.75), so they are taken as EPSG:4326 and reprojected to 'EPSG:32632'. Set the CRS explicitly with sf::st_crs() to suppress this.
WARN [2026-09-11 13:08:28] ensure_projected(): input has no CRS; its coordinates look like lon/lat (xmin=9.10, xmax=9.15, ymin=48.70, ymax=48.75), so they are taken as EPSG:4326 and reprojected to the target CRS ('EPSG:32632'). Set the CRS explicitly to suppress this.
WARN [2026-09-11 13:08:28] fit_rf_model(): include_coords = TRUE. A forest given the coordinates can reproduce the training surface by memorising location and then fail wherever it has not been; random cross-validation will not detect this. Score the result with cv_rf() and blocked folds, not with the out-of-bag error (Meyer et al. 2019).
WARN [2026-09-11 13:08:28] make_folds(): dropping 1 point(s) with empty or non-finite coordinates.
WARN [2026-09-11 13:08:28] prep_model_data(): dropping 1 row(s) with non-finite or missing values (1 of them with an empty or non-finite geometry).
OMP: Warning #96: Cannot form a team with 28 threads, using 2 instead.
OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [90m/46m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(spatialkit)
>
> test_check("spatialkit")
WARN [2026-09-11 20:34:02] area_of_applicability(): dropping predictor(s) with no variance in the training data: const. A prediction point taking a different value there is extrapolation the dissimilarity index cannot represent.
WARN [2026-09-11 20:34:02] area_of_applicability(): dropping 1 training row(s) with missing or non-finite predictor values.
WARN [2026-09-11 20:34:03] fit_rf_model(): include_coords = TRUE. A forest given the coordinates can reproduce the training surface by memorising location and then fail wherever it has not been; random cross-validation will not detect this. Score the result with cv_rf() and blocked folds, not with the out-of-bag error (Meyer et al. 2019).
WARN [2026-09-11 20:34:03] fit_rf_model(): include_coords = TRUE. A forest given the coordinates can reproduce the training surface by memorising location and then fail wherever it has not been; random cross-validation will not detect this. Score the result with cv_rf() and blocked folds, not with the out-of-bag error (Meyer et al. 2019).
WARN [2026-09-11 20:34:04] prep_model_data(): dropping 1 row(s) with non-finite or missing values (1 of them with an empty or non-finite geometry).
WARN [2026-09-11 20:34:04] prep_model_data(): dropping 1 row(s) with non-finite or missing values (1 of them with an empty or non-finite geometry).
WARN [2026-09-11 20:34:04] .pick_local_projected_crs(): extent reaches 11.0 deg from the central meridian of UTM zone 19 (20.0 deg of longitude in total); the zone is kept, because on this extent every equal-area candidate distorts distances more than it does (6.75% vs 1.30% worst-case over sampled pairs). Pass target_crs to ensure_projected() to override.
WARN [2026-09-11 20:34:04] .pick_local_projected_crs(): the bounding box spans 359.0 deg of longitude, but the coordinates straddle the antimeridian: the true extent is 1.0 deg. Using an equal-area projection centred on lon_0=-180.0. (EPSG:3857 would have split the layer in two.)
WARN [2026-09-11 20:34:04] spatialkit(): `input` has no CRS; its coordinates look like lon/lat (xmin=9.10, xmax=9.20, ymin=48.70, ymax=48.75), so they are taken as EPSG:4326 and reprojected to the target CRS. Set the CRS explicitly with sf::st_crs() to suppress this.
WARN [2026-09-11 20:34:04] ensure_projected(): input has no CRS; its coordinates look like lon/lat (xmin=9.10, xmax=9.20, ymin=48.70, ymax=48.75), so they are taken as EPSG:4326 and reprojected to the target CRS ('EPSG:32632'). Set the CRS explicitly to suppress this.
WARN [2026-09-11 20:34:04] spatialkit(): `input` has no CRS and its coordinates do not look like lon/lat, so it cannot be reprojected; stamping the supplied `crs` WITHOUT reprojection. Verify the coordinates are already expressed in that CRS, or set the input CRS with sf::st_crs().
WARN [2026-09-11 20:34:05] harmonize_crs(): `a` has no CRS; its coordinates look like lon/lat (xmin=9.10, xmax=9.15, ymin=48.70, ymax=48.75), so they are taken as EPSG:4326 and reprojected to 'EPSG:32632'. Set the CRS explicitly with sf::st_crs() to suppress this.
WARN [2026-09-11 20:34:05] ensure_projected(): input has no CRS; its coordinates look like lon/lat (xmin=9.10, xmax=9.15, ymin=48.70, ymax=48.75), so they are taken as EPSG:4326 and reprojected to the target CRS ('EPSG:32632'). Set the CRS explicitly to suppress this.
WARN [2026-09-11 20:34:05] fit_rf_model(): include_coords = TRUE. A forest given the coordinates can reproduce the training surface by memorising location and then fail wherever it has not been; random cross-validation will not detect this. Score the result with cv_rf() and blocked folds, not with the out-of-bag error (Meyer et al. 2019).
WARN [2026-09-11 20:34:05] make_folds(): dropping 1 point(s) with empty or non-finite coordinates.
WARN [2026-09-11 20:34:05] prep_model_data(): dropping 1 row(s) with non-finite or missing values (1 of them with an empty or non-finite geometry).
Flavor: r-devel-linux-x86_64-fedora-gcc