mvi {EWSmethods}R Documentation

Multivariate Variance Index function

Description

Calculate a multivariate variance following Brock, W. A., and S. R. Carpenter. 2006. Variance as a leading indicator of regime shift in ecosystem services. Ecology and Society 11(2): 9.

Usage

mvi(data, winsize = 50)

Arguments

data

A numeric matrix of species abundances, names across columns, time across rows. The first column is a time vector, the remainder are species values.

winsize

Numeric. Defines the window size of the rolling window as a percentage of the time series length.

Value

A matrix where the first column is last time index of the window and the second column is the estimated index value.

Source

Brock, W.A. & Carpenter, S.R. (2006) Variance as a leading indicator of regime shift in ecosystem services. Ecology and Society 11(2): 9.

Examples

#Load the multivariate simulated
#dataset `simTransComms`

data(simTransComms)

#Estimate the MVI for the second community

egMVI <- mvi(data = simTransComms$community2[,2:7],
winsize = 10)


[Package EWSmethods version 1.3.1 Index]