JDSI: Compute the multivariate drought index with joint...

In drought: Tools for Drought Modeling and Assessment

Description

Compute the multivariate drought index with joint distribution

Usage

JDSI(X, Y, ts = 6, type = 1)

Arguments

X	is The vector of a monthly hydro-climatic variable of n years.
Y	is The vector of a monthly hydro-climatic variable of n years.
ts	is the accumulated time scale.
type	is the method used to compute the JDSI (1 is Joint distribution and 2 is the Kendall function).

Value

The multivariate drought index of different time scales from the marginal probability (or percentile)

Examples

X=runif(120, min = 0, max = 100)
Y=runif(120, min = 0, max = 100)
fit<-JDSI(X,Y,ts=6)  
z=matrix(t(fit$JDSI),ncol=1)
plot(z, type="l", col=1, lwd=2, lty=1, xlim=c(0,120),xlab="Time",ylab="JDSI")

Example output

drought documentation built on May 2, 2019, 5:54 p.m.