aqp: denormalize – R documentation

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denormalize

Create a (redundant) horizon-level attribute from a site-level attribute

Description

Create a (redundant) horizon-level attribute from a site-level attribute. Specify a SoilProfileCollection and a site-level attribute from that SPC (by name) to receive a vector of length equal to the number of horizons containing the site-level values. This vector is directly usable with the SoilProfileCollection horizon setter.

denormalize is the inverse operation for the formula interface that "normalizes" a horizon level variable to site level:

site(object) <- ~ horizonvar

Usage

denormalize(object, attr)

Arguments

`object`	A SoilProfileCollection
`attr`	Site-level attribute name (character string) to denormalize to horizon.

Details

"Denormalization" is the process of trying to improve the read performance of a database, at the expense of losing some write performance, by adding redundant copies of data or by grouping data. Sometimes it is beneficial to have site-level attributes denormalized for grouping of horizon-level data in analyses. denormalize achieves this result for SoilProfileCollections.

Value

A vector of values of equal length to the number of rows in the horizon table of the input SPC.

Author(s)

Andrew G. Brown, Dylan Beaudette

Examples

data(sp1)

# create a SoilProfileCollection from horizon data
depths(sp1) <- id ~ top + bottom

# create random site-level attribute `sitevar` with a binary (0/1) outcome
sp1$sitevar <- round(runif(length(sp1)))

# use denormalize() to create a mirror of sitevar in the horizon table
# name the attribute something different (e.g. `hz.sitevar`) to 
# prevent collision with the site attribute
# the attributes can have the same name but you will then need 
# site() or horizons() to access explicitly
sp1$hz.sitevar <- denormalize(sp1, 'sitevar')

# compare number of profiles to number of sitevar assignments
length(sp1)
table(sp1$sitevar)

# compare number of horizons to number of horizon-level copies of sitevar `hz.'sitevar`
nrow(sp1)
table(sp1$hz.sitevar)

aqp

Algorithms for Quantitative Pedology

v1.29

GPL (>= 3)

Authors

Dylan Beaudette [aut, cre], Pierre Roudier [aut, ctb], Andrew Brown [aut, ctb]

Initial release

2021-04-05