Simplify multiple coarse fraction (>2mm) records by horizon.
simplifyArtifactData(
art,
id.var,
vol.var = "huartvol",
nullFragsAreZero = nullFragsAreZero,
...
)simplifyFragmentData(
rf,
id.var,
vol.var = "fragvol",
prefix = "frag",
nullFragsAreZero = TRUE,
msg = "rock fragment volume",
...
)
a data.frame object, typically returned from NASIS, see details
character vector with the name of the column containing an ID
that is unique among all horizons in rf
character vector with the name of the column containing the coarse fragment volume. Default "fragvol" or "huartvol".
should fragment volumes of NULL be interpreted as 0? (default: TRUE), see details
Additional arguments passed to sieving function (e.g. sieves a named numeric containing sieve size thresholds with class name)
a data.frame object, typically returned from NASIS, see
details
a character vector prefix for input
Identifier of data being summarized. Default is "rock fragment volume" but this routine is also used for "surface fragment cover"
D.E. Beaudette, A.G Brown
This function is mainly intended for processing of NASIS pedon/component
data which contains multiple coarse fragment descriptions per horizon.
simplifyFragmentData will "sieve out" coarse fragments into the USDA
classes, split into hard and para- fragments. Likewise, simplifyArtifactData will sieve out human artifacts, and split total volume into "cohesive", "penetrable", "innocuous", and "persistent".
These functions can be applied to data sources other than NASIS by careful use of the id.var and vol.var arguments.
rf must contain rock or other fragment volumes in the column "fragvol" (or be specified with vol.var), fragment size (mm) in columns "fragsize_l", "fragsize_r", "fragsize_h", fragment cementation class in "fraghard" and flat/non-flat in "fragshp".
art must contain artifact volumes in the column "huartvol" (or be specified with vol.var), fragment size (mm) in columns "huartsize_l", "huartsize_r", "huartsize_h", artifact cementation class in "huarthard" and flat/non-flat in "huartshp".
Examples: