Generate a plot from summaries generated by aqp::aggregateColor().

aggregateColorPlot(x, print.label=TRUE, label.font = 1, 
label.cex = 0.65, buffer.pct = 0.02, print.n.hz=FALSE, 
rect.border='black', horizontal.borders=FALSE, 
horizontal.border.lwd=2, x.axis=TRUE, y.axis=TRUE,
...)

Arguments

x

a list, results from aqp::aggregateColor()

print.label

print Munsell color labels inside of rectangles, when they fit

label.font

font specification for color labels

label.cex

font size for color lables

buffer.pct

extra space between labels and color rectangles

print.n.hz

optionally print the number of horizons

rect.border

color for rectangle border

horizontal.borders

optionally add horizontal borders between bands of color

horizontal.border.lwd

line width for horizontal borders

x.axis

logical: add a scale and label to x-axis?

y.axis

logical: add group labels to y-axis?

...

additional arguments passed to plot

Details

Tutorial at http://ncss-tech.github.io/AQP/sharpshootR/aggregate-soil-color.html.

Author

D.E. Beaudette

Examples

# \donttest{ if(requireNamespace("curl") & curl::has_internet() & require(aqp) & require(soilDB)) { data(loafercreek, package = 'soilDB') # generalize horizon names using REGEX rules n <- c('Oi', 'A', 'BA','Bt1','Bt2','Bt3','Cr','R') p <- c('O', '^A$|Ad|Ap|AB','BA$|Bw', 'Bt1$|^B$','^Bt$|^Bt2$','^Bt3|^Bt4|CBt$|BCt$|2Bt|2CB$|^C$','Cr','R') loafercreek$genhz <- generalize.hz(loafercreek$hzname, n, p) # remove non-matching generalized horizon names loafercreek$genhz[loafercreek$genhz == 'not-used'] <- NA loafercreek$genhz <- factor(loafercreek$genhz) # aggregate color data, this function is from the `aqp` package a <- aggregateColor(loafercreek, 'genhz') # plot par(mar=c(4,4,1,1)) aggregateColorPlot(a, print.n.hz = TRUE) }
#> Loading required package: aqp
#> This is aqp 1.30
#> #> Attaching package: 'aqp'
#> The following object is masked from 'package:stats': #> #> filter
#> Loading required package: soilDB
# }