This package contains mish-mash of functionality and sample data related to the daily business of soil survey operations with the USDA-NRCS. Many of the functions are highly specialized and inherit default arguments from the names used by the various NCSS (National Cooperative Soil Survey) databases.
Install the stable version from CRAN:
install.packages('sharpshootR', dep=TRUE)
Install the development version from Github:
remotes::install_github("ncss-tech/sharpshootR", dependencies=FALSE, upgrade=FALSE, build=FALSE)
http://ncss-tech.github.io/AQP/
aggregateColorPlotaspect.plotdiagnosticPropertyPlotdueling.dendrogramsplotAvailWaterplotProfileDendrogramplotSoilRelationGraphplotSoilRelationChordGraphplotTransectSoilTaxonomyDendrogramvizGeomorphicComponentvizHillslopePositionvizFlatsPositionvizTerracePositionvizMountainPositionvizAnnualClimateplotWB
constantDensitySamplinggenerateLineHashpolygonAdjacencyPLSS2LLLL2PLSSsample.by.polysamplingStabilitysampleRasterStackByMU
library(sharpshootR)
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', k = 8)
# plot
par(mar=c(3,4,4,1))
aggregateColorPlot(a, print.n.hz = TRUE)