Classify a horizon spreadsheet in all three systems - one file, one line

The shortest path from a spreadsheet to an answer. Reads file with read_pedon_csv and returns the WRB 2022 / SiBCS / USDA names as a one-row data.frame. Missing attributes are handled silently (on_missing = "silent").

Usage

classify_csv(
  file,
  site = NULL,
  sep = "auto",
  systems = c("wrb", "sibcs", "usda")
)

Arguments

file: Path to a .csv (comma) or .tsv (tab) file, one row per horizon.
site: Optional named list of site metadata (see PedonRecord). Defaults to list(id = <file base name>).
sep: Field separator. "auto" (default) uses a tab for .tsv files and a comma otherwise.
systems: Character vector of systems to run; any of "wrb", "sibcs", "usda" (default: all three).

Value

A one-row data.frame with one column per system.

Details

The full ClassificationResult objects (with the key trace, evidence grade, qualifiers, ...) and the parsed PedonRecord are attached as attributes "results" and "pedon" for anyone who wants to dig deeper.

Examples

f <- system.file("extdata", "perfil_exemplo.csv", package = "soilKey")
classify_csv(f)
#>                                         wrb
#> 1 Chromic Ferralsol (Clayic, Ochric, Rubic)
#>                                                          sibcs           usda
#> 1 Latossolos Vermelhos Distróficos típicos, argilosa, moderado Typic Hapludox