Search full text of Official Series Description on SoilWeb

This is the R interface to OSD search by Section and OSD Search APIs provided by SoilWeb.

OSD records are searched with the PostgreSQL fulltext indexing and query system (syntax details). Each search field (except for the "brief narrative" and MLRA) corresponds with a section header in an OSD. The results may not include every OSD due to formatting errors and typos. Results are scored based on the number of times search terms match words in associated sections.

Usage

OSDquery(
  everything = NULL,
  mlra = "",
  taxonomic_class = "",
  typical_pedon = "",
  brief_narrative = "",
  ric = "",
  use_and_veg = "",
  competing_series = "",
  geog_location = "",
  geog_assoc_soils = ""
)

Arguments

everything: search entire OSD text (default is NULL), mlra may also be specified, all other arguments are ignored
mlra: a comma-delimited string of MLRA to search ('17,18,22A')
taxonomic_class: search family level classification
typical_pedon: search typical pedon section
brief_narrative: search brief narrative
ric: search range in characteristics section
use_and_veg: search use and vegetation section
competing_series: search competing series section
geog_location: search geographic setting section
geog_assoc_soils: search geographically associated soils section

Value

a data.frame object containing soil series names that match patterns supplied as arguments.

Details

See this webpage for more information.

family level taxa are derived from SC database, not parsed OSD records
MLRA are derived via spatial intersection (SSURGO x MLRA polygons)
MLRA-filtering is only possible for series used in the current SSURGO snapshot (component name)
logical AND: &
logical OR: |
wildcard, e.g. rhy-something rhy:*
search terms with spaces need doubled single quotes: ''san joaquin''
combine search terms into a single expression: (grano:* | granite)

Related documentation can be found in the following tutorials

Note

SoilWeb maintains a snapshot of the Official Series Description data.

References

USDA-NRCS OSD search tools: https://soilseries.sc.egov.usda.gov/

Author

D.E. Beaudette

Examples


# \donttest{
  # find all series that list Pardee as a geographically associated soil.
  s <- OSDquery(geog_assoc_soils = 'pardee')

  # get data for these series
  x <- fetchOSD(s$series, extended = TRUE, colorState = 'dry')

  # simple figure
  par(mar=c(0,0,1,1))
  plot(x$SPC)

# }