Description Usage Arguments Value Author(s) Examples
Computation of mean relative diffenence and standard deviation for station / sensor network.
1 |
data |
zoo object, containing measures of a variable, e.g. volumetric soil moisture content |
MRD |
mean relative difference for each realisation (station / sensor) |
SDRD |
standard deviation of reltive difference for each realisation (station / sensor) |
Johannes Brenner, Johannes.Brenner@eurac.edu
1 2 3 4 5 6 7 8 9 10 11 12 | #load SMC data B2 station
data(B2_VolSoilMoisture)
#MRD analysis with sensors best sensors in 5 cm, timeframe: from "2010-05-01"
mrd_data <- window(B2_VolSoilMoisture[,c(4,5,6,7,9)],
start = as.chron(as.Date("2010-05-01")),
end = tail(time(B2_VolSoilMoisture),1))
mrd_data_naApprox <- na.approx(object = mrd_data)
( mrd <- MRD(data = mrd_data_naApprox) )
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