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library(soilDB) library(aqp) library(lattice) # Bandy Ranch sites data - take HQ pasture site to work in study data f <- fetchLDM(c('22N0011'), what = "pedlabsampnum") plotSPC(f, name.style = 'center-center', color = 'clay_total', id.style = 'side', raggedBottom = FALSE, label = 'corr_taxsubgrp') addVolumeFraction(f, colname = "total_frag_wt_pct_gt_2_mm_ws", pch = 5) # replicate the same profile for plotting d <- duplicate(f, times=5) # add treatment ID for labels d$ID <- c('Initial application', 'No trampling, 20 t/ha', 'No trampling, 40 t/ha', 'Trampling, 20 t/ha', 'Trampling, 40 t/ha') # tinker with margins / y-offset par(mar = c(0, 2, 0, 3)) plotSPC(d, name.style = 'center-center', id.style = 'side', label = 'ID', max.depth = 25, width = 0.33) # add column for biochar fraction horizons(d)$biochar_content <- rep(95, 5) # trunc() is vectorized # best to use integer depths # now specified as mm f <- trunc( d, z1 = c(0, 3.0, 4.0, 4.5, 7.4), z2 = c(3.0, 4.0, 4.5, 7.4, 9.0) ) # be sure to set the max depth in mm par(mar = c(0, 1, 0, 3)) plotSPC(d, name.style = 'center-center', id.style = 'side', label = 'ID', max.depth = 25.0, width = 0.33, cex.names = 1) addVolumeFraction(f, colname = "total_frag_wt_pct_gt_2_mm_ws", pch = 16, res = 20, cex.min = 0.5, cex.max = 1)
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