# NOT RUN {
# load sample data set, a simple data.frame object with horizon-level data from 10 profiles
library(aqp)
data(sp4)
str(sp4)
sp4$idbak <- sp4$id
#sp4 <- sp4[order(match(sp4$id, aqp:::.coalesce.idx(sort(sp4$id))), sp4$top),]
# upgrade to SoilProfileCollection
# 'id' is the name of the column containing the profile ID
# 'top' is the name of the column containing horizon upper boundaries
# 'bottom' is the name of the column containing horizon lower boundaries
depths(sp4) <- id ~ top + bottom
# check it out
class(sp4) # class name
str(sp4) # internal structure
# check integrity of site:horizon linkage
spc_in_sync(sp4)
# check horizon depth logic
checkHzDepthLogic(sp4)
# inspect object properties
idname(sp4) # self-explanitory
horizonDepths(sp4) # self-explanitory
# you can change these:
depth_units(sp4) # defaults to 'cm'
metadata(sp4) # not much to start with
# alter the depth unit metadata
depth_units(sp4) <- 'inches' # units are really 'cm'
# more generic interface for adjusting metadata
# add attributes to metadata list
metadata(sp4)$describer <- 'DGM'
metadata(sp4)$date <- as.Date('2009-01-01')
metadata(sp4)$citation <- 'McGahan, D.G., Southard, R.J, Claassen, V.P.
2009. Plant-Available Calcium Varies Widely in Soils
on Serpentinite Landscapes. Soil Sci. Soc. Am. J. 73: 2087-2095.'
depth_units(sp4) <- 'cm' # fix depth units, back to 'cm'
# further inspection with common function overloads
length(sp4) # number of profiles in the collection
nrow(sp4) # number of horizons in the collection
names(sp4) # column names
min(sp4) # shallowest profile depth in collection
max(sp4) # deepest profile depth in collection
# extraction of soil profile components
profile_id(sp4) # vector of profile IDs
horizons(sp4) # horizon data
# extraction of specific horizon attributes
sp4$clay # vector of clay content
# subsetting SoilProfileCollection objects
sp4[1, ] # first profile in the collection
sp4[, 1] # first horizon from each profile
# basic plot method, highly customizable: see manual page ?plotSPC
plot(sp4)
# inspect plotting area, very simple to overlay graphical elements
abline(v=1:length(sp4), lty=3, col='blue')
# profiles are centered at integers, from 1 to length(obj)
axis(1, line=-1.5, at=1:10, cex.axis=0.75, font=4, col='blue', lwd=2)
# y-axis is based on profile depths
axis(2, line=-1, at=pretty(1:max(sp4)), cex.axis=0.75, font=4, las=1, col='blue', lwd=2)
# symbolize soil properties via color
par(mar=c(0,0,4,0))
plot(sp4, color='clay')
plot(sp4, color='CF')
# apply a function to each profile, returning a single value per profile,
# in the same order as profile_id(sp4)
soil.depths <- profileApply(sp4, max) # recall that max() gives the depth of a soil profile
# check that the order is correct
all.equal(names(soil.depths), profile_id(sp4))
# a vector of values that is the same length as the number of profiles
# can be stored into site-level data
sp4$depth <- soil.depths
# check: looks good
max(sp4[1, ]) == sp4$depth[1]
# extract site-level data
site(sp4) # as a data.frame
sp4$depth # specific columns as a vector
# use site-level data to alter plotting order
new.order <- order(sp4$depth) # the result is an index of rank
par(mar=c(0,0,0,0))
plot(sp4, plot.order=new.order)
# deconstruct SoilProfileCollection into a data.frame, with horizon+site data
as(sp4, 'data.frame')
# load sample data set, a simple data.frame object with horizon-level data from 10 profiles
library(aqp)
data(sp4)
str(sp4)
sp4$idbak <- sp4$id
#sp4 <- sp4[order(match(sp4$id, aqp:::.coalesce.idx(sort(sp4$id))), sp4$top),]
# upgrade to SoilProfileCollection
# 'id' is the name of the column containing the profile ID
# 'top' is the name of the column containing horizon upper boundaries
# 'bottom' is the name of the column containing horizon lower boundaries
depths(sp4) <- id ~ top + bottom
# check it out
class(sp4) # class name
str(sp4) # internal structure
# check integrity of site:horizon linkage
spc_in_sync(sp4)
# check horizon depth logic
checkHzDepthLogic(sp4)
# inspect object properties
idname(sp4) # self-explanitory
horizonDepths(sp4) # self-explanitory
# you can change these:
depth_units(sp4) # defaults to 'cm'
metadata(sp4) # not much to start with
# alter the depth unit metadata
depth_units(sp4) <- 'inches' # units are really 'cm'
# more generic interface for adjusting metadata
# add attributes to metadata list
metadata(sp4)$describer <- 'DGM'
metadata(sp4)$date <- as.Date('2009-01-01')
metadata(sp4)$citation <- 'McGahan, D.G., Southard, R.J, Claassen, V.P.
2009. Plant-Available Calcium Varies Widely in Soils
on Serpentinite Landscapes. Soil Sci. Soc. Am. J. 73: 2087-2095.'
depth_units(sp4) <- 'cm' # fix depth units, back to 'cm'
# further inspection with common function overloads
length(sp4) # number of profiles in the collection
nrow(sp4) # number of horizons in the collection
names(sp4) # column names
min(sp4) # shallowest profile depth in collection
max(sp4) # deepest profile depth in collection
# extraction of soil profile components
profile_id(sp4) # vector of profile IDs
horizons(sp4) # horizon data
# extraction of specific horizon attributes
sp4$clay # vector of clay content
# subsetting SoilProfileCollection objects
sp4[1, ] # first profile in the collection
sp4[, 1] # first horizon from each profile
# basic plot method, highly customizable: see manual page ?plotSPC
plot(sp4)
# inspect plotting area, very simple to overlay graphical elements
abline(v=1:length(sp4), lty=3, col='blue')
# profiles are centered at integers, from 1 to length(obj)
axis(1, line=-1.5, at=1:10, cex.axis=0.75, font=4, col='blue', lwd=2)
# y-axis is based on profile depths
axis(2, line=-1, at=pretty(1:max(sp4)), cex.axis=0.75, font=4, las=1, col='blue', lwd=2)
# symbolize soil properties via color
par(mar=c(0,0,4,0))
plot(sp4, color='clay')
plot(sp4, color='CF')
# apply a function to each profile, returning a single value per profile,
# in the same order as profile_id(sp4)
soil.depths <- profileApply(sp4, max) # recall that max() gives the depth of a soil profile
# check that the order is correct
all.equal(names(soil.depths), profile_id(sp4))
# a vector of values that is the same length as the number of profiles
# can be stored into site-level data
sp4$depth <- soil.depths
# check: looks good
max(sp4[1, ]) == sp4$depth[1]
# extract site-level data
site(sp4) # as a data.frame
sp4$depth # specific columns as a vector
# use site-level data to alter plotting order
new.order <- order(sp4$depth) # the result is an index of rank
par(mar=c(0,0,0,0))
plot(sp4, plot.order=new.order)
# deconstruct SoilProfileCollection into a data.frame, with horizon+site data
as(sp4, 'data.frame')
# }
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