View source: R/simplifyColorData.R
simplifyColorData | R Documentation |
Simplify multiple Munsell color observations associated with each horizon.
This function is mainly intended for the processing of NASIS pedon/horizon
data which may or may not contain multiple colors per horizon/moisture
status combination. simplifyColorData
will "mix" multiple colors
associated with horizons in d
, according to IDs specified by
id.var
, using "weights" (area percentages) specified by the wt
argument to mix_and_clean_colors
.
Note that this function doesn't actually simulate the mixture of pigments on a surface, rather, "mixing" is approximated via weighted average in the CIELAB colorspace.
The simplifyColorData
function can be applied to data sources other
than NASIS by careful use of the id.var
and wt
arguments.
However, d
must contain Munsell colors split into columns named
"colorhue", "colorvalue", and "colorchroma". In addition, the moisture state
("Dry" or "Moist") must be specified in a column named "colormoistst".
The mix_and_clean_colors
function can be applied to arbitrary data
sources as long as x
contains sRGB coordinates in columns named "r",
"g", and "b". This function should be applied to chunks of rows within which
color mixtures make sense.
Examples:
simplifyColorData(d, id.var = "phiid", wt = "colorpct", bt = FALSE)
d |
a |
id.var |
character vector with the name of the column containing an ID
that is unique among all horizons in |
wt |
a character vector with the name of the column containing color weights for mixing |
bt |
logical, should the mixed sRGB representation of soil color be
transformed to closest Munsell chips? This is performed by |
D.E. Beaudette
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