tests/testthat/_snaps/buffer.md

In tidymodels/spatialsample: Spatial Resampling Infrastructure

bad args

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

using buffers

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

tidymodels/spatialsample documentation built on Oct. 13, 2024, 3:35 p.m.