#> # A tibble: 2 × 6
#> .metric .estimator mean n std_err .config
#> <chr> <chr> <dbl> <int> <dbl> <chr>
#> 1 rmse standard 887760. 10 499093. Preprocessor1_Model1
#> 2 rsq standard 0.327 10 0.0557 Preprocessor1_Model1
Other features:
All methods implemented in spatialsample itself
C++ implementation of most computationally-intensive parts
Works with projected & geographic CRS
Arguments accept explicit units
Aware of CRS units, functions do unit conversion
Handles all geometry types\(^*\)
Should we be doing this at all?
Should we be doing this at all?
Should we be doing this at all?
Should we be doing this at all?
From Mila et al. (2022). “Nearest neighbour distance matching Leave-One-Out Cross-Validation for map validation”. Methods in Ecology and Evolution 13(6), pp 1304-1316. doi: 10.1111/2041-210X.13851.
Should we be doing this at all?
When extrapolating into new regions
When working with clustered or convenience samples