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The goal of paar
is to provide useful functions for
precision agriculture spatial data depuration.
You can install the released version of paar from CRAN with (not-yet):
# install.packages("paar")
You can install the development version from GitHub with:
# install.packages("devtools")
::install_github("PPaccioretti/paar") devtools
The package has a complete protocol for automating error removal. Default values of all functions are optimized for precision agricultural data.
library(paar)
library(sf)
#> Warning: package 'sf' was built under R version 4.3.3
data("barley", package = 'paar')
barley
data contains barley grain yield which were
obtained using calibrated commercial yield monitors, mounted on combines
equipped with DGPS.
#Convert barley data to an spatial object
<- st_as_sf(barley,
barley_sf coords = c("X", "Y"),
crs = 32720)
<-
barley_dep depurate(barley_sf,
"Yield")
#> Concave hull algorithm is computed with
#> concavity = 2 and length_threshold = 0
# Summary of depurated data
summary(barley_dep)
#> normal point border spatial outlier MP spatial outlier LM
#> 5673 (77%) 964 (13%) 343 (4.6%) 309 (4.2%)
#> global min outlier
#> 99 (1.3%) 6 (0.081%)
Spatial yield values before and after depuration process can be plotted
plot(barley_sf["Yield"], main = "Before depuration")
plot(barley_dep$depurated_data["Yield"], main = "After depuration")
Also distribution of yield values can be plotted
boxplot(barley_sf[["Yield"]], main = "Before depuration")
boxplot(barley_dep$depurated_data[["Yield"]], main = "After depuration")
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.