Nothing
Code
buffer_indices(ames_sf)
Condition
Error:
! Buffering can only process geographic coordinates when using the s2 geometry library.
i Reproject your data into a projected coordinate reference system using `sf::st_transform()`.
i Or install the `s2` package and enable it using `sf::sf_use_s2(TRUE)`.
Code
spatial_clustering_cv(ames_sf, buffer = 0.01)
Output
# 10-fold spatial cross-validation
# A tibble: 10 x 2
splits id
<list> <chr>
1 <split [2586/344]> Fold01
2 <split [2506/424]> Fold02
3 <split [2701/229]> Fold03
4 <split [2740/190]> Fold04
5 <split [2625/305]> Fold05
6 <split [2757/173]> Fold06
7 <split [2404/526]> Fold07
8 <split [2665/265]> Fold08
9 <split [2661/269]> Fold09
10 <split [2725/205]> Fold10
Code
spatial_clustering_cv(ames_sf, v = 2, radius = 500, buffer = 500)
Output
# 2-fold spatial cross-validation
# A tibble: 2 x 2
splits id
<list> <chr>
1 <split [1753/1177]> Fold1
2 <split [1101/1795]> Fold2
Code
spatial_block_cv(boston_canopy, v = 2, method = "snake", radius = 500, buffer = 500)
Output
# 2-fold spatial block cross-validation
# A tibble: 2 x 2
splits id
<list> <chr>
1 <split [37/553]> Fold1
2 <split [54/527]> Fold2
Code
spatial_buffer_vfold_cv(boston_canopy, v = 682, radius = 500, buffer = 500)
Output
# 682-fold spatial cross-validation
# A tibble: 682 x 2
splits id
<list> <chr>
1 <split [672/3]> Fold001
2 <split [664/7]> Fold002
3 <split [663/7]> Fold003
4 <split [666/7]> Fold004
5 <split [665/7]> Fold005
6 <split [671/5]> Fold006
7 <split [671/6]> Fold007
8 <split [663/7]> Fold008
9 <split [663/7]> Fold009
10 <split [665/7]> Fold010
# i 672 more rows
Code
spatial_leave_location_out_cv(ames_sf, Neighborhood, v = 682, radius = 500,
buffer = 500)
Condition
Warning in `spatial_leave_location_out_cv()`:
Fewer than 682 locations available for sampling
i Setting `v` to 28
Output
# 28-fold spatial leave-location-out cross-validation
# A tibble: 28 x 2
splits id
<list> <chr>
1 <split [2194/555]> Resample01
2 <split [2220/397]> Resample02
3 <split [2435/279]> Resample03
4 <split [2779/151]> Resample04
5 <split [2597/127]> Resample05
6 <split [2598/197]> Resample06
7 <split [2640/166]> Resample07
8 <split [2617/136]> Resample08
9 <split [2764/150]> Resample09
10 <split [2501/324]> Resample10
# i 18 more rows
Code
spatial_block_cv(ames_sf, v = 2, method = "random", radius = 500, buffer = 500)
Output
# 2-fold spatial block cross-validation
# A tibble: 2 x 2
splits id
<list> <chr>
1 <split [209/2505]> Fold1
2 <split [2/2470]> Fold2
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